Newborn first-aid data processing system based on information communication technology
Through the neonatal first aid data processing system based on information and communication technology, using neural network models and clustering algorithms and other technologies, the problems of untimely information transmission and insufficient decision-making basis in traditional first aid are solved, and the rapid and accurate decision-making of neonatal first aid is achieved and the generation of treatment plans have improved the efficiency of using medical resources.
Patent Information
- Application Number
- CN202411306002.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-09-19
- Publication Date
- 2025-01-07
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
In neonatal first aid, traditional first aid methods have problems such as untimely information transmission and insufficient decision-making basis, which leads to unreasonable use of medical resources and cumbersome data processing, affecting the output of decision-making information.
A newborn first aid data processing system based on information and communication technology was designed, including portable equipment terminals and emergency processing platforms. Through the expansion module, human-computer interaction module, data acquisition module, early warning module, data storage module and information communication module, it uses Neural network models, clustering algorithms and regression models perform data analysis to generate decision information and treatment plans.
It realizes rapid connection of medical equipment and accurate decision-making information generation, improves the accuracy and efficiency of neonatal first aid, helps doctors provide treatment suggestions and emergency treatment plans, and optimizes the output effects of neural network models and regression models.
Smart Images

Figure CN119274824A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of medical emergency command systems, and in particular to a neonatal emergency data processing system based on information communication technology. Background Art
[0002] In today's society, the health of newborns has received much attention. Every year, a large number of newborns face various emergencies and disease threats, which makes neonatal emergency care a vital field. With the continuous development of modern medical technology, the requirements for neonatal emergency care are getting higher and higher. The rise of information and communication technology has brought new opportunities for neonatal emergency care. Since the body functions of newborns are not fully developed, they may encounter a variety of emergencies such as respiratory distress, heart problems, and infections after birth. These situations often require rapid and accurate diagnosis and timely and effective treatment. Traditional emergency care methods may have problems such as untimely information transmission and insufficient decision-making basis.
[0003] However, when newborns need emergency treatment, newborns with different causes of illness may need different monitoring and treatment equipment, which may lead to irrational use of medical resources even though some of the emergency infrastructure is the same. In addition, the data processing system needs to remove noise from the data in a cumbersome manner, which affects the output of decision-making information data. Therefore, we propose a newborn emergency data processing system based on information and communication technology. Summary of the invention
[0004] The purpose of the present invention is to provide a newborn emergency data processing system based on information communication technology.
[0005] In order to solve the problems raised in the above background technology, the present invention provides the following technical solutions: a neonatal emergency data processing system based on information communication technology, the data processing system includes a portable device end and an emergency processing platform, the portable device end includes an expansion module, a human-computer interaction module, a data acquisition module, an early warning module, a data storage module and an information communication module, and the emergency processing platform includes a remote interaction module and a data processing module;
[0006] The expansion module is used to electrically connect with other systems, obtain data on functions and information of other monitoring and treatment devices, and transmit the data on functions and information to the data acquisition module;
[0007] The human-computer interaction module is used by doctors to input newborn medical record data into the data processing system;
[0008] The data acquisition module is used to collect the vital signs data of the newborn, and pre-process, clean and integrate the collected data;
[0009] A safety range indicator is set in the early warning module, and the range of the collected data is determined according to the safety range indicator;
[0010] The data storage module is used to store the neonatal-specific medical records and archival data;
[0011] The information communication module is used to exchange data between the data acquisition module and the remote interaction module;
[0012] The remote interaction module is used to transmit the received collected data to the data processing module and classify the data analyzed by the data processing module into departments;
[0013] The data processing module is used to analyze the collected data, generate decision information and treatment plan data according to the analysis data, and transmit the decision information and treatment plan data to the remote interaction module, and then the remote interaction module transmits the decision information and treatment plan data to the human-computer interaction module;
[0014] The expansion module is provided with an access port, through which other monitoring and treatment equipment are connected to the data processing system. The expansion module is used to identify the information data of the monitoring and treatment equipment, and the identified equipment information data is transmitted to the data acquisition module. The data acquisition module normalizes the data transmitted by the expansion module and the data collected by the data acquisition module, and transmits the normalized collected data to the remote interaction module through the information communication module.
[0015] As a further solution of the present invention: the expansion module includes a driving unit and a matching unit, the driving unit is used to store driving data of different devices, the expansion module is connected to other monitoring and treatment devices through a port, and identifies information data of other monitoring and treatment devices, and transmits the identified information data to the matching unit, the matching unit matches the identified information data with the driving data in the driving unit, and the expansion module retrieves the matched driving data for updating.
[0016] As a further solution of the present invention: the human-computer interaction module includes an operation interface and a visualization interface, the operation interface is used for doctors to enter neonatal medical record data and select the information communication module to transmit the neonatal medical record data, and the visualization interface is used to display the neonatal vital signs data and decision information data in the data processing system.
[0017] As a further solution of the present invention: the data acquisition module includes oxygen, temperature, heart rate and blood oxygen monitoring sensors, and collects the vital signs data of the newborn through the oxygen, temperature, heart rate and blood oxygen monitoring sensors. At the same time, the vital signs data of the newborn collected in the expansion module and the vital signs data of the newborn collected by the data acquisition module are integrated and normalized, and the processed data are transmitted to the early warning module, the data storage module and the information communication module.
[0018] As a further solution of the present invention: the early warning module includes an alarm, the doctor enters the newborn status data through the human-computer interaction module, the information communication module transmits the newborn status data to the data processing module, the data processing module generates safety range monitoring index data according to the newborn status data, and transmits the safety range monitoring data to the early warning module, updates the safety range monitoring index data in the early warning module, the early warning module monitors the newborn vital signs data in real time, when the monitored newborn vital signs data exceeds the safety range index, the early warning module creates an early warning instruction, and transmits the early warning instruction data to the alarm.
[0019] As a further solution of the present invention: the data storage module includes a medical record planning unit and a data storage area, the medical record planning unit establishes different data storage areas according to different newborns, and the data storage area is used to store the collected neonatal time series data, neonatal medical record data, archival data, decision information data and treatment plan data.
[0020] As a further solution of the present invention: the information communication module includes 5G, WiFi and Bluetooth, and uses 4G, 5G, WiFi and Bluetooth to enable the data acquisition module and the remote interaction module to communicate with each other, and the neonatal medical record data is transmitted by selecting 5G, WiFi and Bluetooth in the human-computer interaction module.
[0021] As a further solution of the present invention: the remote interaction module includes an identification unit and a modification unit, the identification unit is used to identify the collected data and the data analysis results, after identifying the collected data, the identification unit transmits the collected data to the data processing module, after receiving the collected data, the data processing module analyzes the collected data, and transmits the analysis result to the remote interaction module, after identifying the analysis result, the identification unit transmits the analysis result to the human-computer interaction module and identifies the department to which the analysis result belongs, the doctor of the corresponding department logs in to the remote interaction module to process and modify the analysis result, and transmits the processed and modified data to the data processing module.
[0022] As a further solution of the present invention: a neural network model, a clustering algorithm and a regression model are set in the data processing module, and similar neonatal vital signs data are classified by using the clustering algorithm, and the classified data are transmitted to the neural network model, and the neural network model is used to generate corresponding decision information and treatment plan data based on the neonatal collected data, and the regression model is used to obtain the treatment effect and risk based on the decision information data and the treatment plan data.
[0023] As a further solution of the present invention: the data processing module obtains decision information according to a formula, and the specific formula is as follows:
[0024]
[0025] Among them, M i (t) represents the decision information of the i-th newborn at time t, D i (t) represents the vital signs data of the i-th newborn at time t, P i (t) represents the medical record data of the i-th newborn at time t, j represents the data instructions of the monitoring and treatment equipment, E ij (t) represents the interaction data between the i-th newborn and the monitoring and treatment equipment at time t, N represents the total number of newborns, and f represents the neural network model, clustering algorithm, and regression model in the data processing module for D i (t), P i (t) and E ij (t) data operation.
[0026] By adopting the above technical solution, compared with the prior art, the beneficial effects of the present invention are:
[0027] 1. The present invention monitors and treats newborns through a portable device. The doctor connects the additional monitoring and treatment equipment to the expansion module according to the newborn's medical history, identifies the functions of the monitoring and treatment equipment through the expansion module, integrates and normalizes the data of the monitoring and treatment equipment through the data acquisition module, and transmits the processed data to the remote interaction module. Then, the data processing module analyzes the interaction data, so that the medical equipment can be connected as needed and generate accurate decision information data;
[0028] 2. The present invention uses a neural network model, a clustering algorithm and a regression model in a data processing module, and uses a clustering algorithm to classify the vital signs data of newborns, transmits similar vital signs data of newborns and treatment plans to the neural network model, improves the accuracy of the output results of the neural network model, and then uses the neural network model to generate decision information for the vital signs data of newborns, and uses a regression model to obtain the treatment effect and risk of the decision information, and transmits the decision information, treatment effect and risk data to the human-computer interaction model. The doctor observes the decision information data through the visual interface of the human-computer interaction module, and then determines the treatment plan for the vital signs data of the newborn, helping the doctor to provide treatment suggestions and emergency treatment plans when treating newborns;
[0029] 3. The present invention has doctors from corresponding departments log in to the emergency treatment platform, and then the doctors adjust and optimize the decision information data generated by the data processing module, and transmit the adjusted and optimized data to the neural network model, clustering algorithm and regression model, thereby improving the output effect of the neural network model and the regression model. BRIEF DESCRIPTION OF THE DRAWINGS
[0030] Figure 1 Flow chart of the data processing system in the embodiment of the present invention. DETAILED DESCRIPTION
[0031] The specific embodiments of the present invention will be further described below in conjunction with the accompanying drawings. It should be noted that the description of these embodiments is used to help understand the present invention, but does not constitute a limitation of the present invention.
[0032] In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other.
[0033] Please refer to the attached Figure 1 The present invention discloses a neonatal emergency data processing system based on information communication technology. The data processing system includes a portable device end and an emergency processing platform. The portable device end includes an expansion module, a human-computer interaction module, a data acquisition module, an early warning module, a data storage module and an information communication module. The emergency processing platform includes a remote interaction module and a data processing module.
[0034] The expansion module is used to electrically connect with other systems and obtain the data of functions and information of other monitoring and treatment equipment, and transmit the data of functions and information to the data acquisition module;
[0035] The human-computer interaction module is used by doctors to input newborn medical records into the data processing system;
[0036] The data acquisition module is used to collect the vital signs data of newborns and pre-process, clean and integrate the collected data;
[0037] The safety range index is set in the early warning module, and the range of the collected data is determined according to the safety range index;
[0038] The data storage module is used to store the newborn's exclusive medical records and archival data;
[0039] The information communication module is used to exchange data between the data acquisition module and the remote interaction module;
[0040] The remote interaction module is used to transmit the received collected data to the data processing module and classify the data analyzed by the data processing module into departments;
[0041] The data processing module is used to analyze the collected data, generate decision information and treatment plan data based on the analysis data, and transmit the decision information and treatment plan data to the remote interaction module, and then the remote interaction module transmits the decision information and treatment plan data to the human-computer interaction module;
[0042] The expansion module is provided with an access port, through which other monitoring and treatment equipment are connected to the data processing system. The expansion module is used to identify the information data of the monitoring and treatment equipment, and the identified equipment information data is transmitted to the data acquisition module. The data acquisition module normalizes the data transmitted by the expansion module and the data collected by the data acquisition module, and transmits the normalized collected data to the remote interaction module through the information communication module.
[0043] In one embodiment of the present invention: the expansion module includes a driving unit and a matching unit, the driving unit is used to store driving data of different devices, the expansion module is connected to other monitoring and treatment devices through a port, and identifies information data of other monitoring and treatment devices, and transmits the identified information data to the matching unit. The matching unit matches the identified information data with the driving data in the driving unit, and the expansion module retrieves the matched driving data for updating.
[0044] In one embodiment of the present invention: the human-computer interaction module includes an operation interface and a visualization interface, the operation interface is used for doctors to enter neonatal medical record data and select the information communication module to transmit the neonatal medical record data, and the visualization interface is used to display the neonatal vital signs data and decision information data in the data processing system.
[0045] In one embodiment of the present invention: the data acquisition module includes oxygen, temperature, heart rate and blood oxygen monitoring sensors, and the newborn vital signs data are collected through the oxygen, temperature, heart rate and blood oxygen monitoring sensors. At the same time, the newborn vital signs data collected in the expansion module and the newborn vital signs data collected by the data acquisition module are integrated and normalized, and the processed data are transmitted to the early warning module, the data storage module and the information communication module.
[0046] In one embodiment of the present invention: the early warning module includes an alarm, the doctor enters the newborn status data through the human-computer interaction module, the information communication module transmits the newborn status data to the data processing module, the data processing module generates safety range monitoring index data according to the newborn status data, and transmits the safety range monitoring data to the early warning module, updates the safety range monitoring index data in the early warning module, the early warning module monitors the newborn's vital signs data in real time, when the monitored newborn's vital signs data exceeds the safety range index, the early warning module creates an early warning instruction, and transmits the early warning instruction data to the alarm.
[0047] In one embodiment of the present invention: the data storage module includes a medical record planning unit and a data storage area. The medical record planning unit establishes different data storage areas according to different newborns. The data storage area is used to store the collected neonatal time series data, neonatal medical record data, archival data, decision information data and treatment plan data.
[0048] In one embodiment of the present invention: the information communication module includes 5G, WiFi and Bluetooth, and the data acquisition module and the remote interaction module communicate with each other by using 4G, 5G, WiFi and Bluetooth, and the neonatal medical record data is transmitted by selecting 5G, WiFi and Bluetooth in the human-computer interaction module.
[0049] In one embodiment of the present invention: the remote interaction module includes an identification unit and a modification unit, the identification unit is used to identify the collected data and the data analysis results, after identifying the collected data, the identification unit transmits the collected data to the data processing module, after receiving the collected data, the data processing module analyzes the collected data, and transmits the analysis results to the remote interaction module, after identifying the analysis results, the identification unit transmits the analysis results to the human-computer interaction module and the department to which the analysis results belong, the doctor of the corresponding department logs in to the remote interaction module to process and modify the analysis results, and transmits the processed and modified data to the data processing module.
[0050] In one embodiment of the present invention: a neural network model, a clustering algorithm and a regression model are set in the data processing module, and similar neonatal vital signs data are classified using the clustering algorithm, and the classified data are transmitted to the neural network model, and the neural network model is used to generate corresponding decision information and treatment plan data based on the neonatal collected data, and the regression model is used to obtain the treatment effect and risk based on the decision information data and the treatment plan data.
[0051] In one embodiment of the present invention: the data processing module obtains decision information according to a formula, and the specific formula is as follows:
[0052]
[0053] Among them, M i (t) represents the decision information of the i-th newborn at time t, D i (t) represents the vital signs data of the i-th newborn at time t, P i (t) represents the medical record data of the i-th newborn at time t, j represents the data instructions of the monitoring and treatment equipment, E ij (t) represents the interaction data between the i-th newborn and the monitoring and treatment equipment at time t, N represents the total number of newborns, and f represents the neural network model, clustering algorithm, and regression model in the data processing module for D i (t), P i (t) and E ij (t) data operation.
[0054] Example 1, please refer to the attached Figure 1 Through the operation interface and visualization interface in the human-computer interaction module, doctors can obtain emergency first aid measures for newborns through the visualization interface, and use the information communication module and the operation interface to cooperate with each other, so that the portable device can quickly obtain the newborn's exclusive medical record, and establish a newborn medical record storage area in the data storage module to facilitate doctors to retrieve newborn medical record data.
[0055] Example 2, please refer to the attached Figure 1 The collected neonatal data is transmitted to the remote interaction module through the portable device, and then the transmitted data is analyzed by the data processing module. By setting up a server in the emergency processing platform, it is ensured that the emergency processing platform can have relatively large data as the basis for analysis, and the accuracy of the analysis results of the data processing module is improved.
[0056] Example 3, please refer to the attached Figure 1 When the newborn's vital signs data are abnormal, the early warning module will sound an alarm, allowing the doctor to provide emergency assistance to the newborn in a timely manner.
[0057] Specifically, newborns are monitored and treated through portable devices. Doctors connect additional monitoring and treatment equipment to the expansion module based on the newborn's medical history, identify the functions of the monitoring and treatment equipment through the expansion module, integrate and normalize the data of the monitoring and treatment equipment through the data acquisition module, and transmit the processed data to the remote interaction module. The data processing module then analyzes the interaction data, so that medical equipment can be connected as needed and generate accurate decision-making information data.
[0058] Specifically, through the neural network model, clustering algorithm and regression model in the data processing module, the clustering algorithm is used to classify the vital signs data of the newborn, and similar vital signs data of the newborn and treatment plans are transmitted to the neural network model to improve the accuracy of the output results of the neural network model. Then, the neural network model is used to generate decision information for the vital signs data of the newborn, and the regression model is used to obtain the treatment effect and risk of the decision information. The decision information, treatment effect and risk data are transmitted to the human-computer interaction model. The doctor observes the decision information data through the visual interface of the human-computer interaction module, and then determines the treatment plan for the vital signs data of the newborn, helping the doctor to provide treatment suggestions and emergency treatment plans when treating the newborn.
[0059] Specifically, doctors from corresponding departments log in to the emergency treatment platform, and then adjust and optimize the decision information data generated by the data processing module, and transmit the adjusted and optimized data to the neural network model, clustering algorithm and regression model, thereby improving the output effect of the neural network model and the regression model.
[0060] Working principle:
[0061] First, the newborn is treated through the portable device, and then the newborn's medical history is input through the human-computer interaction module. The doctor connects the additional monitoring and treatment equipment to the expansion module according to the newborn's condition, and integrates the newborn's vital signs data through the data acquisition module. The integrated data is then transmitted to the emergency processing platform, and the emergency processing platform is used to generate decision information data, and the decision information data is transmitted to the human-computer interaction module. The doctor observes the decision information data in the visual interface and makes judgments on the decision information data. The doctor treats the newborn according to the decision information data, and the entire workflow is completed.
[0062] Those skilled in the art should understand that the above-mentioned modules or steps of the present invention can be implemented by a general-purpose computer device. Alternatively, they can be implemented by a program code executable by a computing device, so that they can be stored in a storage device and executed by the computing device, or they can be made into individual integrated circuit modules, or multiple modules or steps therein can be made into a single integrated circuit module for implementation. The present invention is not limited to any specific combination of hardware and software.
[0063] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various changes and variations. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.
[0064] Although the above describes the specific implementation mode of the present invention in conjunction with the accompanying drawings, it is not intended to limit the scope of protection of the present invention. Those skilled in the art should understand that various modifications or changes that can be made by those skilled in the art on the basis of the technical solution of the present invention without creative work are still within the scope of protection of the present invention.
Claims
1. A neonatal emergency data processing system based on information communication technology, characterized in that: The data processing system includes a portable device end and an emergency processing platform, wherein the portable device end includes an expansion module, a human-computer interaction module, a data acquisition module, an early warning module, a data storage module and an information communication module, and the emergency processing platform includes a remote interaction module and a data processing module; The expansion module is used to electrically connect with other systems, obtain data on functions and information of other monitoring and treatment devices, and transmit the data on functions and information to the data acquisition module; The human-computer interaction module is used by doctors to input newborn medical record data into the data processing system; The data acquisition module is used to collect the vital signs data of the newborn, and pre-process, clean and integrate the collected data; A safety range indicator is set in the early warning module, and the range of the collected data is determined according to the safety range indicator; The data storage module is used to store the neonatal-specific medical records and archival data; The information communication module is used to exchange data between the data acquisition module and the remote interaction module; The remote interaction module is used to transmit the received collected data to the data processing module and classify the data analyzed by the data processing module into departments; The data processing module is used to analyze the collected data, generate decision information and treatment plan data according to the analysis data, and transmit the decision information and treatment plan data to the remote interaction module, and then the remote interaction module transmits the decision information and treatment plan data to the human-computer interaction module; The expansion module is provided with an access port, through which other monitoring and treatment equipment are connected to the data processing system. The expansion module is used to identify the information data of the monitoring and treatment equipment, and the identified equipment information data is transmitted to the data acquisition module. The data acquisition module normalizes the data transmitted by the expansion module and the data collected by the data acquisition module, and transmits the normalized collected data to the remote interaction module through the information communication module.
2. The neonatal emergency data processing system based on information communication technology according to claim 1, characterized in that: The expansion module includes a driving unit and a matching unit. The driving unit is used to store driving data of different devices. The expansion module is connected to other monitoring and treatment devices through a port, and identifies information data of other monitoring and treatment devices, and transmits the identified information data to the matching unit. The matching unit matches the identified information data with the driving data in the driving unit, and the expansion module retrieves the matched driving data for updating.
3. The neonatal emergency data processing system based on information communication technology according to claim 1, characterized in that: The human-computer interaction module includes an operation interface and a visualization interface. The operation interface is used for doctors to enter neonatal medical record data and select an information communication module to transmit the neonatal medical record data. The visualization interface is used to display neonatal vital signs data and decision information data in the data processing system.
4. The neonatal emergency data processing system based on information communication technology according to claim 1, characterized in that: The data acquisition module includes oxygen, temperature, heart rate and blood oxygen monitoring sensors, and collects the vital signs data of the newborn through the oxygen, temperature, heart rate and blood oxygen monitoring sensors. At the same time, the vital signs data of the newborn collected in the expansion module and the vital signs data of the newborn collected by the data acquisition module are integrated and normalized, and the processed data are transmitted to the early warning module, the data storage module and the information communication module.
5. The neonatal emergency data processing system based on information communication technology according to claim 1 is characterized in that: The early warning module includes an alarm. The doctor enters the newborn status data through the human-computer interaction module. The information communication module transmits the newborn status data to the data processing module. The data processing module generates safety range monitoring index data according to the newborn status data, and transmits the safety range monitoring data to the early warning module, and updates the safety range monitoring index data in the early warning module. The early warning module monitors the newborn's vital signs data in real time. When the monitored newborn's vital signs data exceeds the safety range index, the early warning module creates an early warning instruction and transmits the early warning instruction data to the alarm.
6. The neonatal emergency data processing system based on information communication technology according to claim 1, characterized in that: The data storage module includes a medical record planning unit and a data storage area. The medical record planning unit establishes different data storage areas according to different newborns. The data storage area is used to store the collected newborn time series data, newborn medical record data, archive data, decision information data and treatment plan data.
7. The neonatal emergency data processing system based on information communication technology according to claim 1, characterized in that: The information communication module includes 5G, WiFi and Bluetooth, and uses 4G, 5G, WiFi and Bluetooth to enable the data acquisition module and the remote interaction module to communicate with each other, and transmits the newborn medical record data by selecting 5G, WiFi and Bluetooth in the human-computer interaction module.
8. The neonatal emergency data processing system based on information communication technology according to claim 1 is characterized by: The remote interaction module includes an identification unit and a modification unit. The identification unit is used to identify the collected data and the data analysis results. After identifying the collected data, the identification unit transmits the collected data to the data processing module. After receiving the collected data, the data processing module analyzes the collected data and transmits the analysis results to the remote interaction module. After identifying the analysis results, the identification unit transmits the analysis results to the human-computer interaction module and the department to which the analysis results belong. The doctor of the corresponding department logs in to the remote interaction module to process and modify the analysis results, and transmits the processed and modified data to the data processing module.
9. The neonatal emergency data processing system based on information communication technology according to claim 1, characterized in that: A neural network model, a clustering algorithm and a regression model are set in the data processing module. The clustering algorithm is used to classify similar neonatal vital signs data, and the classified data is transmitted to the neural network model. The neural network model is used to generate corresponding decision information and treatment plan data based on the neonatal collected data, and the regression model is used to obtain treatment effects and risks based on the decision information data and treatment plan data.
10. The neonatal emergency data processing system based on information communication technology according to claim 9, characterized in that: The data processing module obtains decision information according to the formula, and the specific formula is as follows: Among them, M i (t) represents the decision information of the i-th newborn at time t, D i (t) represents the vital signs data of the i-th newborn at time t, P i (t) represents the medical record data of the i-th newborn at time t, j represents the data instructions of the monitoring and treatment equipment, E ij (t) represents the interaction data between the i-th newborn and the monitoring and treatment equipment at time t, N represents the total number of newborns, and f represents the neural network model, clustering algorithm, and regression model in the data processing module for D i (t), P i (t) and E ij (t) data operation.
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