Intelligent service method and system for breast cancer patients

Abstract

The invention provides an intelligent service method and system for a breast cancer patient, and the method comprises the steps: S1, carrying out the treatment suggestion of the breast cancer patient; and S2, guiding the breast cancer patients to perform online interaction. According to the intelligent service method and system for the breast cancer patients, treatment suggestions can be made for the breast cancer patients online, the breast cancer patients do not need to continuously obtain the treatment suggestions through professional doctors, and convenience is improved; besides, the breast cancer patients are guided to perform online interaction, so that the patients can contact with the patients conveniently, the patients do not need to join a patient friend group, the breast cancer patients with the same illness state are paired for online interaction, and the effect of communication and mutual assistance of the patients is improved to a great extent.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent patient services, and in particular to an intelligent service method and system for breast cancer patients. Background Art

[0002] At present, in the service system for breast cancer patients, patients often obtain treatment advice through professional physicians. However, as the treatment stage of breast cancer patients changes, the treatment advice will also change. If they continue to obtain it through professional physicians, it will not be convenient enough. In addition, after breast cancer surgery, the emotions of breast cancer patients will affect the progress of recovery. Generally, the way to comfort patients' emotions is often through the company of their family members, communication and mutual assistance among other patients, etc. However, patients cannot easily contact other patients. The conditions of different patients in the traditional patient group may be different, and the effect of communication and mutual assistance among patients may not be optimal. Therefore, a solution is urgently needed. Summary of the invention

[0003] One of the purposes of the present invention is to provide an intelligent service method for breast cancer patients, which can provide treatment advice to breast cancer patients online. Breast cancer patients do not need to continuously obtain treatment advice from professional doctors, which improves convenience. In addition, it guides breast cancer patients to interact online, making it convenient for patients to contact other patients. Patients do not need to join a patient group, and breast cancer patients with the same condition can be paired up for online interaction, which greatly improves the effect of communication and mutual assistance among patients.

[0004] An embodiment of the present invention provides a smart service method for breast cancer patients, comprising: Provide treatment recommendations for breast cancer patients; Facilitating online interactions among breast cancer patients.

[0005] Preferably, treatment recommendations for breast cancer patients include: Obtain information about the condition of breast cancer patients; Determine treatment recommendations based on the condition information; Push treatment recommendations to breast cancer patients; Among them, based on the condition information, treatment recommendations are determined, including: Obtain a large number of breast cancer patient treatment cases; Training treatment recommendation models based on breast cancer patient treatment cases; Inputting the condition information into the treatment recommendation model to determine the treatment recommendation; and / or, Constructing an information description vector of the disease condition information; The treatment recommendation corresponding to the information description vector is determined from a preset treatment recommendation library.

[0006] Preferably, guiding breast cancer patients to interact online includes: Establish a target patient set; the target patient set has at least M breast cancer patients, the breast cancer patients in the target patient set meet the online interaction timing condition, and the breast cancer patients in the target patient set meet the patient association condition; Pushing preset online interactive inquiry information to each breast cancer patient in the target patient set; Breast cancer patients who read the online interactive inquiry information and then reply to the online interactive confirmation instructions are identified as online interactive members; Establish an online conference and connect online interaction members to the online conference; online interaction members interact online in the online conference; Among them, the online interaction timing conditions include: The current time falls within the preset online interaction habit time interval corresponding to the breast cancer patient; The timing characterization degree of the terminal operation sequence generated by the breast cancer patient operating the smart terminal within the most recent preset first time is greater than or equal to the preset first characterization degree threshold; the timing characterization degree is the sum of the first characterization values ​​corresponding to each terminal operation in the terminal operation sequence in the preset first characterization value library; Family members of breast cancer patients enter online interactive inquiry request instructions; Among them, patient-related conditions include: There are corresponding historical online interaction records between breast cancer patients in a preset historical online interaction record library; The similarity between the patient portraits of breast cancer patients is greater than or equal to a preset similarity threshold.

[0007] Preferably, the intelligent service method for breast cancer patients further includes: Determine the online interactive members who meet the first member condition in the online conference and use them as the first separation target; Determine an online interaction member other than the first separation target who meets the second member condition in the online conference and use the member as the second separation target; The first separation target and the second separation target are separated in the online conference; after the separation, online interaction members other than the first separation target and the second separation target cannot receive the first conference speech of the first separation target and the second separation target; The first membership conditions include: The emotional representation degree of the conference speech sequence generated by the online interactive member within the most recent preset second time is greater than or equal to a preset second representation degree threshold; the emotional representation degree is the sum of the second representation values ​​corresponding to the first semantics of each second conference speech in the conference speech sequence in the preset second representation value library; The non-speech time of the online interaction member is greater than or equal to the preset time threshold and there is a corresponding semantic association relationship between the second semantics and the third semantics in the preset semantic association relationship library; the second semantics is the semantics of the third meeting speech generated by the online interaction member in history, and the third semantics is the semantics of the fourth meeting speech generated by other online interaction members; Among them, the second member conditions include: The number of times that the online interaction member history is separated is greater than or equal to a preset number threshold.

[0008] Preferably, the second member condition also includes: The first speaker voice segment generated in the history of the online interaction member and the second speaker voice segment generated in the history of the first separation target occur adjacent to each other at least N times, and the number of occurrences of the target situation is greater than or equal to a preset number threshold; the target situation includes: the first speaker voice segment is immediately followed by the second speaker voice segment and the first duration of the first speaker voice segment is greater than the second duration of the second speaker voice segment, and the duration difference is greater than or equal to a preset difference threshold.

[0009] An embodiment of the present invention provides a smart service system for breast cancer patients, comprising: Treatment recommendation module, used to provide treatment recommendations for breast cancer patients; The online interaction module is used to guide breast cancer patients to interact online.

[0010] Preferably, the treatment suggestion module provides treatment suggestions to breast cancer patients, including: Obtain information about the condition of breast cancer patients; Determine treatment recommendations based on the condition information; Push treatment recommendations to breast cancer patients; Among them, based on the condition information, treatment recommendations are determined, including: Obtain a large number of breast cancer patient treatment cases; Training treatment recommendation models based on breast cancer patient treatment cases; Inputting the condition information into the treatment recommendation model to determine the treatment recommendation; and / or, Constructing an information description vector of the disease condition information; A treatment recommendation corresponding to the information description vector is determined from a preset treatment recommendation library.

[0011] Preferably, the online interaction module guides breast cancer patients to interact online, including: Establish a target patient set; the target patient set has at least M breast cancer patients, the breast cancer patients in the target patient set meet the online interaction timing condition, and the breast cancer patients in the target patient set meet the patient association condition; Pushing preset online interactive inquiry information to each breast cancer patient in the target patient set; Breast cancer patients who read the online interactive inquiry information and then reply to the online interactive confirmation instructions are identified as online interactive members; Establish an online conference and connect online interaction members to the online conference; online interaction members interact online in the online conference; Among them, the online interaction timing conditions include: The current time falls within the preset online interaction habit time interval corresponding to the breast cancer patient; The timing characterization degree of the terminal operation sequence generated by the breast cancer patient operating the smart terminal within the most recent preset first time is greater than or equal to the preset first characterization degree threshold; the timing characterization degree is the sum of the first characterization values ​​corresponding to each terminal operation in the terminal operation sequence in the preset first characterization value library; Family members of breast cancer patients enter online interactive inquiry request instructions; Among them, patient-related conditions include: There are corresponding historical online interaction records between breast cancer patients in a preset historical online interaction record library; The similarity between the patient portraits of breast cancer patients is greater than or equal to a preset similarity threshold.

[0012] Preferably, the intelligent service system for breast cancer patients further includes: The interactive control module includes: Determine the online interactive members who meet the first member condition in the online conference and use them as the first separation target; Determine an online interaction member other than the first separation target who meets the second member condition in the online conference and use the member as the second separation target; The first separation target and the second separation target are separated in the online conference; after the separation, online interaction members other than the first separation target and the second separation target cannot receive the first conference speech of the first separation target and the second separation target; The first membership conditions include: The emotional representation degree of the conference speech sequence generated by the online interactive member within the most recent preset second time is greater than or equal to a preset second representation degree threshold; the emotional representation degree is the sum of the second representation values ​​corresponding to the first semantics of each second conference speech in the conference speech sequence in the preset second representation value library; The non-speech time of the online interaction member is greater than or equal to the preset time threshold and there is a corresponding semantic association relationship between the second semantics and the third semantics in the preset semantic association relationship library; the second semantics is the semantics of the third meeting speech generated by the online interaction member in history, and the third semantics is the semantics of the fourth meeting speech generated by other online interaction members; Among them, the second member conditions include: The number of times that the online interaction member history is separated is greater than or equal to a preset number threshold.

[0013] Preferably, the second member condition also includes: The first speaker voice segment generated in the history of the online interaction member and the second speaker voice segment generated in the history of the first separation target occur adjacent to each other at least N times, and the number of occurrences of the target situation is greater than or equal to a preset number threshold; the target situation includes: the first speaker voice segment is immediately followed by the second speaker voice segment and the first duration of the first speaker voice segment is greater than the second duration of the second speaker voice segment, and the duration difference is greater than or equal to a preset difference threshold.

[0014] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the written description, claims, and drawings.

[0015] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings: Figure 1 A schematic diagram of a smart service method for breast cancer patients in an embodiment of the present invention; Figure 2 Schematic diagram of a smart service system for breast cancer patients in an embodiment of the present invention. DETAILED DESCRIPTION

[0017] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0018] The embodiment of the present invention provides a smart service method for breast cancer patients. Figure 1 As shown, including: Step S1: Providing treatment recommendations to breast cancer patients; Step S2: guiding breast cancer patients to interact online.

[0019] Facilitate online interactions between breast cancer patients, including: Establish a target patient set; there are at least M breast cancer patients in the target patient set and the breast cancer patients in the target patient set meet the online interaction timing conditions and the breast cancer patients in the target patient set meet the patient association conditions; M is a positive integer and can be set by technical personnel according to actual needs; when the breast cancer patient meets the online interaction timing conditions, it means that the breast cancer patient needs to interact online with other breast cancer patients; when the breast cancer patients meet the patient association conditions, it means that the breast cancer patients are suitable for online interaction; Pushing preset online interaction inquiry information to each breast cancer patient in the target patient set; the online interaction inquiry information is used to inquire whether the breast cancer patient is willing to interact online with other breast cancer patients, such as: "Do you want to chat with them?"; Determine the breast cancer patients who have read the online interactive inquiry information and replied to the online interactive confirmation instruction, and serve as online interactive members; when the breast cancer patients have read the online interactive inquiry information and replied to the online interactive confirmation instruction, it indicates that the corresponding breast cancer patients are willing to conduct online interaction with other breast cancer patients as online interactive members; Establish an online conference and connect online interaction members to the online conference; online interaction members interact with each other online in the online conference; after connecting to the online conference, online interaction members can speak and hear others speak in the conference; In this embodiment, when guiding breast cancer patients to interact online, breast cancer patients with the same condition can be paired for online interaction. This application can provide online treatment advice to breast cancer patients, and breast cancer patients do not need to continuously obtain treatment advice from professional doctors, which improves convenience; in addition, guiding breast cancer patients to interact online makes it convenient for patients to contact fellow patients, and patients do not need to join a fellow patient group. Pairing breast cancer patients with the same condition for online interaction greatly improves the effect of communication and mutual assistance among fellow patients.

[0020] In one embodiment, a treatment recommendation is provided to a breast cancer patient, including: Obtain the medical information of breast cancer patients; the medical information includes: age, gender, breast cancer examination results, breast cancer surgery records, medication records, etc.; Determine treatment recommendations based on the condition information; Push treatment recommendations to breast cancer patients; Among them, based on the condition information, treatment recommendations are determined, including: Obtain a large number of breast cancer patient treatment cases; breast cancer patient treatment cases are treatment records of breast cancer patients, which include the patient's age, gender, medical history, breast cancer treatment methods, treatment progress, treatment effects, rehabilitation methods, rehabilitation effects, etc.; Based on the treatment cases of breast cancer patients, a treatment recommendation model is trained; a large number of breast cancer patient treatment cases are used as training samples to train the neural network model. When the neural network model is trained to convergence, the neural network model is used as a treatment recommendation model. The treatment recommendation model can give treatment recommendations based on the condition information of breast cancer patients; Inputting the condition information into the treatment recommendation model to determine the treatment recommendation; and / or, Constructing an information description vector of the disease condition information; The treatment suggestion corresponding to the information description vector is determined from the preset treatment suggestion library. The information description vector of the condition information can also be constructed in the form of a vector; the treatment suggestion library has preset treatment suggestions corresponding to different information description vectors, and the treatment suggestion can be determined by checking the library.

[0021] In one embodiment, the online interaction opportunity conditions include: The current time falls within the preset online interaction habit time interval corresponding to the breast cancer patient; the online interaction habit time interval is the habitual time interval for the breast cancer patient to interact online with other breast cancer patients in history, such as: 8:00 to 9:00 p.m.; when this online interaction timing condition is met, it means that the breast cancer patient may need to interact online with other breast cancer patients at the current time; The timing characterization degree of the terminal operation sequence generated by the breast cancer patient operating the smart terminal within the first preset time is greater than or equal to the preset first characterization degree threshold; the timing characterization degree is the sum of the first characterization values ​​corresponding to each terminal operation in the terminal operation sequence in the preset first characterization value library; the first time can be, for example: 10 minutes; the smart terminal can be a mobile phone, a tablet, a computer, etc.; the first characterization degree threshold can be, for example: 75; there are first characterization values ​​corresponding to different terminal operations in the first characterization value library, and the larger the first characterization value, the greater the need of the breast cancer patient represented by the terminal operation to interact online with other breast cancer patients. For example: the terminal operation is to use the search software to search for "how long can a breast cancer patient live" (when searching for this content, it means that the breast cancer patient may have negative emotions such as worry and anxiety), and the first characterization value is 30; by setting this online interaction timing condition, it is identified whether the breast cancer patient needs to interact online with other breast cancer patients according to the terminal operation of the breast cancer patient operating the smart terminal, thereby improving the timeliness of the intervention of negative emotions and the applicability of the system; The family members of the breast cancer patient input the online interactive inquiry request instruction; secondly, the family members of the breast cancer patient can input the online interactive inquiry request instruction to request the system to conduct online interactive inquiry with the breast cancer patient; generally, the family members of the breast cancer patient hope that the breast cancer patient can communicate, share and help each other with other patients to improve their mood, therefore, setting this online interactive timing condition and providing the family members with functional options is more humane and more applicable; Among them, patient-related conditions include: There are corresponding historical online interaction records between breast cancer patients in the preset historical online interaction record library; the historical online interaction record library is used to record the historical online interaction records of online interactions between breast cancer patients, including interaction duration, interaction time, etc.; when this patient association condition is met, it means that breast cancer patients have interacted online in the past and are relatively familiar with each other, which improves the rationality of establishing the target patient set; The similarity between the patient portraits of breast cancer patients is greater than or equal to the preset similarity threshold. The patient portrait includes: medical information, family information, etc.; the similarity threshold can be, for example: 80%; when this patient association condition is met, breast cancer patients can have more topics to talk about, further improving the rationality of establishing the target patient set.

[0022] In one embodiment, the intelligent service method for breast cancer patients further includes: Determine the online interactive members who meet the first member condition in the online conference and use them as the first separation target; Determine an online interaction member other than the first separation target who meets the second member condition in the online conference and use the member as the second separation target; The first separation target and the second separation target are separated in the online conference; after the separation, online interaction members other than the first separation target and the second separation target cannot receive the first conference speech of the first separation target and the second separation target; The first membership conditions include: The emotional representation degree of the conference speech sequence generated by the online interaction member within the second time preset recently is greater than or equal to the preset second representation degree threshold; the emotional representation degree is the sum of the second representation values ​​corresponding to the first semantics of each second conference speech in the conference speech sequence in the preset second representation value library; the second time can be, for example: 100 seconds; the second representation degree threshold can be, for example: 70; there are second representation values ​​corresponding to different first semantics in the second representation value library, and the second representation value represents the degree of emotional fluctuation of the online interaction member represented by the first semantics. The larger the second representation value, the greater the degree of emotional fluctuation of the online interaction member. For example: the first semantics is "two days of insomnia", and the corresponding second representation value is 10; setting this first member condition, determining whether the online interaction member needs emotional comfort according to the recent speech semantics of the online interaction member, improves the accuracy and applicability of the system in identifying people with emotional fluctuations; The non-speech time of the online interaction member is greater than or equal to the preset time threshold and there is a corresponding semantic association relationship between the second semantics and the third semantics in the preset semantic association relationship library; the second semantics is the semantics of the third meeting speech generated by the online interaction member in history, and the third semantics is the semantics of the fourth meeting speech generated by other online interaction members; the time threshold can be, for example: 8 minutes; there are a large number of semantic association relationships between different third semantics in the semantic association relationship library. When there is a semantic association relationship, it means that there is a correlation between the chat topics represented by the semantics, such as: "I spent the whole afternoon in the gym yesterday" and "I will go for a morning run tomorrow" (both related to fitness and rehabilitation); when this first member condition is met, it means that the topic mentioned by the online interaction member before is continued to be discussed or mentioned again by other online interaction members, and the online interaction member should be interested but not speak, and may have emotional fluctuations, which improves the accuracy and applicability of the system in identifying people with emotional fluctuations; Among them, the second member conditions include: The number of times the online interaction member history is separated is greater than or equal to a preset number threshold. The number threshold can be, for example, 8 times. When this second member condition is met, it means that the online interaction member has sufficient experience in emotional soothing. In this embodiment, generally, when breast cancer patients interact online, they may experience emotional fluctuations, for example, when others share their illness experience, they feel touched, or they vent their recently suppressed emotions. At this time, breast cancer patients with emotional fluctuations need others to comfort them. However, since the form of online conferences is relatively public, breast cancer patients with emotional fluctuations may immediately exit the online conference for privacy and shyness considerations, and cannot be comforted in time. The embodiment of the present invention can solve this problem: first, a first segmentation target with emotional fluctuations is identified, and then a second segmentation target suitable for emotional comforting the first segmentation target is selected, and the first segmentation target and the second segmentation target are separated. During the separation process, the first segmentation target and the second segmentation target can have a private conversation, and online interaction members other than the first segmentation target and the second segmentation target cannot receive the first conference speech of the first segmentation target and the second segmentation target. In this way, the second segmentation target can comfort the first segmentation target in time. In addition, during the separation process, the first segmentation target and the second segmentation target can receive the speeches of the remaining online interaction members, so that the first segmentation target can change its emotions after hearing the topic of interest to make its emotions better as much as possible.

[0023] In one embodiment, the second membership condition further includes: The first speaker voice segment generated in the history of the online interaction member and the second speaker voice segment generated in the history of the first separation target are adjacent to each other at least N times, and the number of occurrences of the target situation is greater than or equal to the preset number threshold; the target situation includes: the first speaker voice segment is immediately followed by the second speaker voice segment and the first duration of the first speaker voice segment is greater than the second duration of the second speaker voice segment, and the duration difference is greater than or equal to the preset difference threshold. N is a positive integer and can be set by technical personnel according to actual needs; when the first speaker voice segment is adjacent to the second speech once, it means that the online interaction member and the first separation target spoke successively; the number threshold can be, for example: 4 times; the difference threshold can be, for example: 20 seconds; when the target situation occurs, it means that after the first separation target spoke briefly in history, the online interaction member responded for a long time, indicating that emotional comfort may have been carried out. Setting this second member condition further improves the rationality of the screening of comforters.

[0024] The embodiment of the present invention provides a smart service system for breast cancer patients. Figure 2 As shown, including: Treatment recommendation module 1, used to provide treatment recommendations for breast cancer patients; The online interaction module 2 is used to guide breast cancer patients to interact online.

[0025] Treatment Recommendation Module 1 provides treatment recommendations for breast cancer patients, including: Obtain information about the condition of breast cancer patients; Determine treatment recommendations based on the condition information; Push treatment recommendations to breast cancer patients; Among them, based on the condition information, treatment recommendations are determined, including: Obtain a large number of breast cancer patient treatment cases; Training treatment recommendation models based on breast cancer patient treatment cases; Inputting the condition information into the treatment recommendation model to determine the treatment recommendation; and / or, Constructing an information description vector of the disease condition information; The treatment recommendation corresponding to the information description vector is determined from a preset treatment recommendation library.

[0026] Online interaction module 2 guides breast cancer patients to interact online, including: Establish a target patient set; the target patient set has at least M breast cancer patients, the breast cancer patients in the target patient set meet the online interaction timing condition, and the breast cancer patients in the target patient set meet the patient association condition; Pushing preset online interactive inquiry information to each breast cancer patient in the target patient set; Breast cancer patients who read the online interactive inquiry information and then reply to the online interactive confirmation instructions are identified as online interactive members; Establish an online conference and connect online interaction members to the online conference; online interaction members interact online in the online conference; Among them, the online interaction timing conditions include: The current time falls within the preset online interaction habit time interval corresponding to the breast cancer patient; The timing characterization degree of the terminal operation sequence generated by the breast cancer patient operating the smart terminal within the most recent preset first time is greater than or equal to the preset first characterization degree threshold; the timing characterization degree is the sum of the first characterization values ​​corresponding to each terminal operation in the terminal operation sequence in the preset first characterization value library; Family members of breast cancer patients enter online interactive inquiry request instructions; Among them, patient-related conditions include: There are corresponding historical online interaction records between breast cancer patients in a preset historical online interaction record library; The similarity between the patient portraits of breast cancer patients is greater than or equal to a preset similarity threshold.

[0027] The intelligent service system for breast cancer patients also includes: The interactive control module includes: Determine the online interactive members who meet the first member condition in the online conference and use them as the first separation target; Determine an online interaction member other than the first separation target who meets the second member condition in the online conference and use the member as the second separation target; The first separation target and the second separation target are separated in the online conference; after the separation, online interaction members other than the first separation target and the second separation target cannot receive the first conference speech of the first separation target and the second separation target; The first membership conditions include: The emotional representation degree of the conference speech sequence generated by the online interactive member within the most recent preset second time is greater than or equal to a preset second representation degree threshold; the emotional representation degree is the sum of the second representation values ​​corresponding to the first semantics of each second conference speech in the conference speech sequence in the preset second representation value library; The non-speech time of the online interaction member is greater than or equal to the preset time threshold and there is a corresponding semantic association relationship between the second semantics and the third semantics in the preset semantic association relationship library; the second semantics is the semantics of the third meeting speech generated by the online interaction member in history, and the third semantics is the semantics of the fourth meeting speech generated by other online interaction members; Among them, the second member conditions include: The number of times that the online interaction member history is separated is greater than or equal to a preset number threshold.

[0028] The second membership requirement also includes: The first speaker voice segment generated in the history of the online interaction member and the second speaker voice segment generated in the history of the first separation target occur adjacent to each other at least N times, and the number of occurrences of the target situation is greater than or equal to a preset number threshold; the target situation includes: the first speaker voice segment is immediately followed by the second speaker voice segment and the first duration of the first speaker voice segment is greater than the second duration of the second speaker voice segment, and the duration difference is greater than or equal to a preset difference threshold.

[0029] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A smart service method for breast cancer patients, characterized in that: include: Provide treatment recommendations for breast cancer patients; Facilitating online interactions between breast cancer patients; The method of guiding breast cancer patients to interact online includes: Establishing a target patient set; wherein the target patient set includes at least M breast cancer patients, and the breast cancer patients in the target patient set meet the online interaction opportunity condition, and the breast cancer patients in the target patient set meet the patient association condition; Pushing preset online interactive inquiry information to each breast cancer patient in the target patient set; Determine the breast cancer patient who has consulted the online interaction inquiry information and responded to the online interaction confirmation instruction as an online interaction member; An online conference is established, and the online interaction members are connected to the online conference; and the online interaction members interact online in the online conference.

2. A smart service method for breast cancer patients as claimed in claim 1, characterized in that: The treatment recommendations for breast cancer patients include: Obtain information about the condition of breast cancer patients; Determine treatment recommendations based on the medical condition information; Pushing the treatment recommendations to breast cancer patients; Wherein, determining treatment recommendations based on the condition information includes: Obtain a large number of breast cancer patient treatment cases; Based on the breast cancer patient treatment case, training a treatment recommendation model; Inputting the condition information into the treatment suggestion model to determine the treatment suggestion; and / or, Constructing an information description vector of the disease condition information; The treatment suggestion corresponding to the information description vector is determined from a preset treatment suggestion library.

3. The intelligent service method for breast cancer patients according to claim 1, characterized in that: The online interaction timing conditions include: The current time falls within the preset online interaction habit time interval corresponding to the breast cancer patient; The timing characterization degree of the terminal operation sequence generated by the breast cancer patient operating the smart terminal within the most recent preset first time is greater than or equal to a preset first characterization degree threshold; the timing characterization degree is the sum of the first characterization values ​​corresponding to each terminal operation in the terminal operation sequence in the preset first characterization value library; The family member of the breast cancer patient inputs an online interactive inquiry request instruction; The patient-associated conditions include: There are corresponding historical online interaction records between breast cancer patients in a preset historical online interaction record library; The similarity between the patient portraits of breast cancer patients is greater than or equal to a preset similarity threshold.

4. A smart service method for breast cancer patients as claimed in claim 3, characterized in that: Also includes: Determine the online interactive member in the online conference that meets the first member condition and use it as a first separation target; Determine the online interaction members other than the first separation target who meet the second member condition in the online conference and use them as the second separation target; Separating the first separation target and the second separation target in the online conference; After the separation process is performed, the online interaction members other than the first separation target and the second separation target cannot receive the first conference speech of the first separation target and the second separation target; The first member condition includes: The emotional representation degree of the conference speech sequence generated by the online interactive member within the most recent preset second time is greater than or equal to a preset second representation degree threshold; the emotional representation degree is the sum of the second representation values ​​corresponding to the first semantics of each second conference speech in the conference speech sequence in the preset second representation value library; The non-speech time of the online interaction member is greater than or equal to a preset time threshold and there is a corresponding semantic association relationship between the second semantics and the third semantics in a preset semantic association relationship library; the second semantics is the semantics of the third meeting speech generated in the history of the online interaction member, and the third semantics is the semantics of the fourth meeting speech generated by other online interaction members; The second member condition includes: The number of times the online interaction member history is separated is greater than or equal to a preset number threshold.

5. A smart service method for breast cancer patients as claimed in claim 4, characterized in that: The second membership condition also includes: The first speaker voice segment generated in the history of the online interaction member and the second speaker voice segment generated in the history of the first separation target are adjacent to each other at least N times, and the number of occurrences of the target situation is greater than or equal to a preset number threshold; the target situation includes: the first speaker voice segment is immediately followed by the second speaker voice segment and the first duration of the first speaker voice segment is greater than the second duration of the second speaker voice segment, and the duration difference is greater than or equal to a preset difference threshold.

6. A smart service system for breast cancer patients, characterized in that: include: Treatment recommendation module, used to provide treatment recommendations for breast cancer patients; Online interaction module, used to guide online interaction between breast cancer patients; The online interaction module guides breast cancer patients to interact online, including: Establishing a target patient set; wherein the target patient set includes at least M breast cancer patients, and the breast cancer patients in the target patient set meet the online interaction opportunity condition, and the breast cancer patients in the target patient set meet the patient association condition; Pushing preset online interactive inquiry information to each breast cancer patient in the target patient set; Determine the breast cancer patient who has consulted the online interaction inquiry information and responded to the online interaction confirmation instruction as an online interaction member; An online conference is established, and the online interaction members are connected to the online conference; and the online interaction members interact online in the online conference.

7. The intelligent service system for breast cancer patients according to claim 6, characterized in that: The treatment suggestion module provides treatment suggestions to breast cancer patients, including: Obtain information about the condition of breast cancer patients; Determine treatment recommendations based on the medical condition information; Pushing the treatment recommendations to breast cancer patients; Wherein, determining treatment recommendations based on the condition information includes: Obtain a large number of breast cancer patient treatment cases; Based on the breast cancer patient treatment case, training a treatment recommendation model; Inputting the condition information into the treatment suggestion model to determine the treatment suggestion; and / or, Constructing an information description vector of the disease condition information; The treatment suggestion corresponding to the information description vector is determined from a preset treatment suggestion library.

8. The intelligent service system for breast cancer patients according to claim 6, characterized in that: The online interaction opportunity conditions include: The current time falls within the preset online interaction habit time interval corresponding to the breast cancer patient; The timing characterization degree of the terminal operation sequence generated by the breast cancer patient operating the smart terminal within the most recent preset first time is greater than or equal to a preset first characterization degree threshold; the timing characterization degree is the sum of the first characterization values ​​corresponding to each terminal operation in the terminal operation sequence in the preset first characterization value library; The family member of the breast cancer patient inputs an online interactive inquiry request instruction; The patient-associated conditions include: There are corresponding historical online interaction records between breast cancer patients in a preset historical online interaction record library; The similarity between the patient portraits of breast cancer patients is greater than or equal to a preset similarity threshold.

9. The intelligent service system for breast cancer patients according to claim 8, characterized in that: Also includes: The interactive control module includes: Determine the online interactive member in the online conference that meets the first member condition and use it as a first separation target; Determine the online interaction members other than the first separation target who meet the second member condition in the online conference and use them as the second separation target; The first separation target and the second separation target are separated in the online conference; after the separation, the online interaction members other than the first separation target and the second separation target cannot receive the first conference speech of the first separation target and the second separation target; The first member condition includes: The emotional representation degree of the conference speech sequence generated by the online interactive member within the most recent preset second time is greater than or equal to a preset second representation degree threshold; the emotional representation degree is the sum of the second representation values ​​corresponding to the first semantics of each second conference speech in the conference speech sequence in the preset second representation value library; The non-speech time of the online interaction member is greater than or equal to a preset time threshold and there is a corresponding semantic association relationship between the second semantics and the third semantics in a preset semantic association relationship library; the second semantics is the semantics of the third meeting speech generated in the history of the online interaction member, and the third semantics is the semantics of the fourth meeting speech generated by other online interaction members; The second member condition includes: The number of times the online interaction member history is separated is greater than or equal to a preset number threshold.

10. The intelligent service system for breast cancer patients according to claim 9, characterized in that: The second membership condition also includes: The first speaker voice segment generated in the history of the online interaction member and the second speaker voice segment generated in the history of the first separation target are adjacent to each other at least N times, and the number of occurrences of the target situation is greater than or equal to a preset number threshold; the target situation includes: the first speaker voice segment is immediately followed by the second speaker voice segment and the first duration of the first speaker voice segment is greater than the second duration of the second speaker voice segment, and the duration difference is greater than or equal to a preset difference threshold.

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