76 results about "Medline database" patented technology

A natural language understanding system is described which provides for the generation of concept codes from free-text medical data. A probabilistic model of lexical semantics, in the preferred embodiment of the invention implemented by means of a Bayesian network, is used to determine the most probable concept or meaning associated with a sentence or phrase. The inventive method and system includes the steps of checking for synonyms, checking spelling, performing syntactic parsing, transforming text to its "deep" or semantic form, and performing a semantic analysis based on a probabilistic model of lexical semantics. In the preferred embodiment of the invention, spell checking and transformational processing as well as semantic analysis make use of semantic probabilistic determinations.

The invention is a portable vital signs measurement instrument, systems and methods that provide a variety of measurement capabilities, including blood pressure, temperature, pulse oximetry, and other indications of patient status. The instrument, systems and methods include the ability to communicate wirelessly, for example using Wi-Fi (IEEE 802.11B), with a server, so that information can be entered easily, securely and reliably into a medical database system accessible by way of the server. The systems and methods provide for the instrument to initiate a communication session by attempting to discover a server access point in its vicinity.

A medical database and associated methods are especially suited for compiling information in a medical malpractice situation. A general medical database is provided and specific medical information corresponding to a given situation is entered. Entry of the information automatically cross-references some terms of the entered data to definitions in the general medical database. Terms are readily looked up when reviewing specific medical information and definitions are easily inserted where desired. A drug reference display provides two-way lookup from drugs to their side effects (or contraindications or interactions) and back. Significant information from an entered medical chronology is easily copied to a significant information section when a reviewer finds the information important.

A method and system for maintaining medical items is provided. The system includes a medical database structure, a medical database utility configured to maintain medical database contents by organizing medical information into levels, and a user interface component configured to enable a user to access the medical database utility. The medical database utility provides a user with an ability to access the user's collections of settings in the medical database, the user's collection of settings maintained separately from settings accessible by other users. The method stores medical data items in a database configured with multiple levels of organization, establishes a logical relationship between medical data items at each level of organization, presents a user with available medical system choices at each level of organization, and enables the user to select from among the available medical system choices presented at each level of organization.

The invention discloses a method and device for establishing a medical knowledge graph, and an auxiliary diagnosis method. The method for establishing the medical knowledge graph comprises the steps that a user dictionary is established according to a medical database; electronic medical record data is processed, and named entity recognition is conducted; correlation relations are established for each recognized entity; and the medical knowledge graph is established according to the correlation relations. The auxiliary diagnosis method based on the medical knowledge graph comprises the steps that a patient's chief complaint data and inspection data are acquired and processed, so that a symptom entity and a sign entity of the patient can be obtained; a disease entity correlated with the symptom entity and the sign entity is searched in the medical knowledge graph, and a posterior probability of each disease entity in a set composed of the corresponding symptom entity and the sign entity is computed respectively; and the disease entity with the maximum posterior probability and data corresponding to correlated nodes of the disease entity are output. According to the invention, intelligent auxiliary diagnosis is provided for clinical medical science, so that working burdens of medical workers are relieved; medical stress is relieved; and occurrence rate of medical accidents is reduced.

A method of retrieving similar patient cases from a medical database includes matching a current patient case against a plurality of clinical profiles resulting in a set of matching clinical profiles. The method further includes determining a degree of membership of the current patient case in each clinical profile from the set of matching clinical profiles based upon a degree of match between the current patient case and the clinical profile. For at least one clinical profile from the set of matching clinical profiles, the method includes retrieving those similar patient cases from the medical database that have a substantially corresponding degree of membership as the current patient case.

A medical database and system and method using same are provided. The medical database includes a data unit for storing modules representing medical records of subjects. Each module includes a plurality of module elements each representing a medically-relevant parameter of the subject with each element assigned a specific identifier in the module and a numerical value corresponding to the medically-relevant parameter.

Disclosed are a method and apparatus for positioning navigation in a human body by means of augmented reality based upon a real-time feedback, the method includes: obtaining a first 3D reconstructed image of a target object according to medical image data corresponding to properties of the target object, a medical database system, and / or a first set of user instructions; generating image transformation parameters according to information extracted from feature points from the target object acquired by an AR device, and the first 3D reconstructed image; and to adjust the first 3D reconstructed image according to the image transformation parameters to obtain a second 3D reconstructed image, and displaying in a real-time fashion the second 3D reconstructed image on the AR device.

An input apparatus reads a patient ID from an ID card and transmits it to a computer. On the basis of the patient ID, the computer obtains corresponding patient information containing a photograph of the patient's face and the patient's name, from a medical database, and then transmits the patient information to the digital camera together with the patient ID. The digital camera displays the patient information to enable confirmation of the patient to be photographed. After the patient has been confirmed, the patient ID is filled in a header part of an image file for the image photographed using the digital camera, and the image file is transmitted to the medical database or the like. Thus, the input of the identification information input before photographing and the subject to be photographed can be easily confirmed.

The invention relates to a medical data management method and system wherein medical data (22c) and identification data (22b) associated with the medical data (22c) of said patient (6) is received, said medical data (22c) and said identification data (22b) is stored as a medical file (22) in a storage system (2), wherein at least parts of said medical files (22) are modified for generating at least one modified file (22') in response to a retrieval request from an unauthorized recipient (Ni), wherein such modification depends on an authorization code (42) associated with said unauthorized recipient (Ni), and wherein said at least one modified file (22') is supplied to said unauthorized recipient (Ni) or the unmodified medical file (22) is supplied to an authorized recipient (6, 7). The invention enables a worldwide medical database for research and global health interests, by at the same time safeguarding the legitimate interests of the patient.

The invention provides a simple and practical public medical database, which actually achieves centralized storage and management of personal medical records by using the existing network technology and the database technology according to medical record writing standards established by national authoritative medical institutions, and aims at enabling doctors to inquire and track medical archives of the whole life of a patient at any time and any place. The public medical database can be widely applied to fields such as remote medical treatment, disaster relief, battlefield rescue, criminal investigation and conventional outpatient service. The public medical database is a network database developed through structured query language (SQL) and has high safety and reliability. Only the patients or the doctors can enter the database to check related contents, so that primacy of the patients is sufficiently protected. The public medical database can help the doctors to know patient conditions when emergencies happen, thereby being favorable for emergency treatment.

A pupilometer having a pupil irregularity or non-uniformity detection capability. The pupilometer may comprise an imaging sensor for generating signals representative of a pupil of an eye, a data processor; and a program executable by the data processor for enabling the data processor to process signals received from the imaging sensor and to thereby identify one or more regions of non-uniformity within an image of a perimeter of the pupil. The pupilometer may incorporate several innovative calibration and thresholding routines and may provide the basis for an innovative medical diagnostics system, when coupled to a network containing a suitable medical database and data processing hardware.

The invention discloses an intelligent interaction system and method for medical information. The intelligent interaction system for the medical information comprises a medical database, human-computer interaction equipment and a medical data intelligent analysis unit, wherein the medical database stores a lot of disease symptom description information, disease names, disease treatment schemes and drug prescription data; the human-computer interaction equipment is used for providing a human-computer interaction display interface and displaying corresponding medical information according to one of the disease symptom description information, disease names and drug names input by a user; and the medical data intelligent analysis unit is used for carrying out query and data operation on one of various disease symptom description information, disease names and drug names input by the user in the medical database, analyzing and screening the most relevant disease treatment scheme and corresponding drug prescription data. Through the human-computer interaction mode, various diseases are diagnosed, and corresponding treatment recommendations are given, so that a lot of doctor resources are saved and the pain and the cost of a patient are reduced.

A test module for analyzing a sample fluid and communicating data to a medical database, the test module having a receptacle for receiving the sample, functional sections for processing and analyzing the sample, a communication interface for communication with the medical database, and, a controller for operative control of the communication interface.

Certain embodiments present a system for generating a medical teaching file message. An image identifier labels medical images based upon information pertaining to user interaction with the image. The system also provides an image search engine that scans and indexes images within a database based on a set of rules. The image search engine generates a subset of images from a larger group of medical images within a database based upon the rules. The system also includes a supporting data selection engine for accepting a free text search query from an interface. The supporting data selection engine scans medical databases based on the free text search query, and provides the supporting data search results via an interface. A teaching file message is generated either automatically or manually from the subset of images and the supporting data search results for transmission to a teaching file.

The invention discloses a structured medical database-based data search method. The method comprises the steps of receiving an input search instruction, wherein the search instruction includes at least one of a clinical test patient recruitment search instruction, a patient popular science search instruction, an automatic diagnosis result search instruction, a medical insurance overtreatment identification search instruction, a clinical data search instruction and a scientific research experiment idea search instruction; and executing operation corresponding to the search instruction. According to the method, the utilization efficiency of a structured medical database can be fully improved and the medical intelligence level can be improved. The invention furthermore discloses a structured medical database-based data search system, which has the abovementioned beneficial effects.

A method for generating a modifiable summary of medical data derived from a patient can comprise steps of selecting a subset of medical data from a medical database, wherein the subset at least partially is uniquely associated with an individual patient, and generating a living graphical representation from at least a portion of the subset. The living graphical representation can be dynamically reconfigurable upon modification of the portion. In another embodiment, a method for customizing patient medical information for presentation to a patient as a customized file can comprise steps of determining a medical condition of a patient, identifying static data related to the medical condition, and identifying dynamic data uniquely related to the patient. Additional steps can include forming a customized file of the patient from the static and dynamic data, wherein the customized file summarizes at least an episode of medical care.

The invention provides a method for establishing a medical database, comprising the following the steps of: (1) transforming a source document into full text data capable of being subjected to text searching so as to establish the following retrieval indexes: a. a full text retrieval index, b. a comments index, c. a literature external characteristic index, d. and a difficulty level grading index; (2) and selecting part of the retrieval indexes for weighting distribution so as to establish a weighted grading and sequencing program based on the appearing frequency of searched words. The medical database established by using the method of the invention is capable of retrieving medical literatures, which have high correlation degree and are suitable to users, according to the intellectual level of the users. The method for establishing the medical database is capable of greatly improving retrieval efficiency, and is convenient to use for the users with different levels of medical knowledge.

A system and method to plan medical diagnosis and / or therapy procedures is provided. The method includes electronic recording of a patient anamnesis (medical history), electronic recording of a patient finding, automatic generation of a keyword list dependent on the patient anamnesis and the patient finding by access to a keyword databank, automatic generation of diagnosis and / or therapy measure list dependent on keywords of the keyword list under access to a medical databank, automatic assessment of diagnosis and / or therapy measures of the diagnosis and / or therapy measure list under access to a case databank, automatic temporal pre-allocation of resources necessary for the implementation of diagnosis and / or therapy measures, dependent on a result of the assessment of the diagnosis and / or therapy measures under access to a resource databank, automatic generation of at least one diagnosis and / or therapy procedure dependent on the pre-allocation of resources, automatic generation of an electronic checklist with diagnosis and / or therapy measures and temporal pre-allocation of resources necessary for implementation of these diagnosis and / or therapy measures. The method allows flexible planning adapted to the current availability of resources and, via the immediate enlistment of expertise, ensures a consistent quality of the diagnosis and / or therapy planning.

The invention discloses a genetic variation determination method and system and a storage medium. The method comprises the steps: an automatic determination rule file is generated for annotating and classifying the genomic variation according to the data of multiple biomedical databases; and mutant gene annotation processing is performed on the variation detection file by using an annotation toolbased on the automatic determination rule file, the genomic variation in the variation detection file is classified by using a scoring tool based on the automatic determination rule file, the geneticvariation is reclassified by using the scoring tool based on the modified determination criterion, and the modified determination criterion is saved in the automatic determination rule file. Accordingto the genetic variation determination method and system and the storage medium, gene analysis and annotation can be more accurately and efficiently performed, the interpreter can be assisted to moreefficiently apply the evaluation criterion, automatic analysis on the massive variation site information can be realized and the accuracy and the determination speed of genetic variation determination can be improved.

A diagnostic imaging support system that enables confirmation of abnormalities in anatomical regions of a brain includes capturing images of the brain, specifying regions in the captured images that correspond to the anatomical regions, searching a medical database for similar cases based information associated with the specified regions, and displaying the results of the search.

The invention discloses a sepsis data processing system which comprises a model training unit and a prediction unit. The model training unit is trained according to patient data provided by an intensive care medicine database to obtain an identification model, the identification model is stored in a storage unit, the prediction unit identifies output representation identification results by the identification model, the model training unit comprises a data preprocessing module, a data separation module, a training data integration module and a model training module, the data preprocessing module preprocesses the patient data from the intensive care medicine database to obtain the preprocessing patient data, the data separation module divides the preprocessing patient data into a finally diagnosed sepsis forward training data and finally diagnosed non-sepsis reversal training data, the training data integration module integrates training data into a training data set, and the model training module is trained according to the training data set to obtain the identification model. The system has the advantages that influence of man-made decision factors is relieved, potential characteristics of data are more easily excavated, and sepsis prediction accuracy is effectively improved.

A user interface to a medical database stores context information from previous queries and uses the context information as part of information selection criteria for a current query, without requiring the users to fully specify the information selection criteria in each query. The context information is automatically stored as a profile for each user, for each group of users and, optionally, for each institution to which a user is affiliated. In response to a current user query, a combination of the information selection criterion currently entered by the user and one or more information selection criteria previously entered by the user, group and (optionally) institution is used to query the medical database. Optionally, a user's group membership may be automatically determined, based on current physical location of the user and potential groups, for example as estimated from a meeting calendar or signals received by a wireless access point.

The invention relates to a mobile phone capable of intelligently inquiring medical knowledge. A memory or a compatible expansion card of the phone stores an intelligent medical database and reading software, wherein the intelligent medical database comprises medical information or content data compiled in a java format; a medical information or content data frame is built in a tree structure consisting of turning points and pages; the tree structure adopts modules with a relatively clear medical layer referred by the turning points in specific direction; the turning points in specific direction represent medical features having identification significance and the modules with a relatively clear medical layer represent a medical field and direction a user water to inquiry; the pages represent medical information or content stored in nodes; and the reading software is a tool to display the medical information or content stored on the pages on the phone. The phone has the advantages of offering simple operation, portability and quickness, applying to common people, intelligently inquiring targeted medical information and intelligent support in related medical field, giving early warning, facilitating the medical assistance, diagnosis, treatment, rehabilitation, health care or medical science education.

The present invention discloses 3D-structure of SARS-CoV Viral 3CL Protease obtained through molecular simulation. The 3D-structure is used as a drug target for screening the existing medical database CMC (Comprehensive Medicinal Chemistry, MDL Information System, Inc.), and a group of compounds which have the activity of inhibiting SARS-CoV virus 3CL Protease are found. Cinanserin was tested at molecular and viral levels, and it was found to be able to inhibit the SARS-CoV viral 3CL protease and SARS-CoV viruses. Cinanserin analogs were synthesized and tested at molecular and viral levels, they were found to be able to inhibit the SARS-CoV virus 3CL Protease and SARS-CoV viruses, and may be used for treating and / or preventing SARS-CoV virus infection.

The present invention relates to a medical image analysis method and device. The method includes the following steps that: medical images and the metadata of the content of the medical images are acquired, and the acquired medical images are matched with anatomical information images captured from a cloud medical database; edge-preserving diffusion image filtering processing is performed on medical images which are successfully matched with the anatomical information images, so that training sample medical images to be trained are obtained; network structures of a convolution layer, a de-convolution layer, a pooling layer and a whole-connection layer are sequentially adopted to perform deep training on the training sample medical images, so that a lesion point feature model is generated; and a medical image to be tested is inputted into the lesion point feature model, and a lesion point recognition result is automatically obtained. With the above method adopted, the accuracy of an algorithm can be greatly improved, false negatives can be decreased, a lesion point can be obtained accurately and rapidly, and further analysis operation can be performed on the lesion point; and a deep network is adopted, so that the problem of insufficiency of shallow-layer network feature extraction can be solved.

Certain embodiments present a system for generating a medical teaching file message. An image identifier labels medical images based upon information pertaining to user interaction with the image. The system also provides an image search engine that scans and indexes images within a database based on a set of rules. The image search engine generates a subset of images from a larger group of medical images within a database based upon the rules. The system also includes a supporting data selection engine for accepting a free text search query from an interface. The supporting data selection engine scans medical databases based on the free text search query, and provides the supporting data search results via an interface. A teaching file message is generated either automatically or manually from the subset of images and the supporting data search results for transmission to a teaching file.

A system and method for diagnosing neurological syndromes is described. A form-based data entry device is used to collect data about the current state of the patient, and the data is supplemented by such data as may be available for a patient history medical data base. A rule-based analysis engine is used to process the data so as to produce a diagnosis of one of ischemic stroke, hemorrhagic stroke, or other non-stroke syndrome, and a suitable care path recommended. The rule-based engine may be modified to reflect the capabilities and diagnostic equipment suite available at a specific medical facility, and to implement a version of an approved medical protocol consistent with the local constraints. The diagnosis is linkable to a suitable care path plan. Some of all of the form-based data may be entered by emergency personnel while the patient is in transit to the treatment facility.

The present invention discloses a system and a method for complex brain disease targeted combination treatment analysis. According to the system and the method, a modern data mining technology, a complex network analysis technology, a cloud computing technology and a large data technology are effectively combined; potential drug targets of diseases are dynamically queried, analyzed and computed according to different brain diseases; and problems in current medical research are solved, such as long data processing time, a long research period, lack of systematicness, a single research target and the like. According to the system and the method, an authoritative medical database abroad is combined and disease treatment method research is enabled to be systematic, processed and normalized. Besides, according to the system and the method, cost of medical disease treatment analysis and research is also reduced, and application of an advanced computer technology in the medical field is expanded. The present invention aims to establish brand-new network pharmacology study method and technology, is of special significance to breakthrough in brain disease prevention and treatment research, and takes positive efforts and does contribution for supporting and leading research, development and industrialization of innovative drug in China.