Clinical medication behavior analysis system based on efficient negative sequence mining mode and working method thereof
A technology of behavior analysis and working method, which is applied in the field of clinical drug behavior analysis system, can solve the problems of negative sequence mode loss and achieve the effect of flexibility
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment 1
[0096] A clinical medication behavior analysis system based on efficient negative sequence mining patterns, such as figure 1 As shown, including the data collection system and the behavior analysis system connected through the transmission network communication;
[0097] The data acquisition system includes a data acquisition module and a data transmission module connected in sequence;
[0098] The data acquisition module is used to collect and save the patient's clinical medication behavior data in real time. The clinical medication behavior data includes the patient's ID number, time stamp (that is, the time of diagnosis and treatment), prescribed drugs, symptoms, diseases and the patient's department;
[0099] The data transmission module is used to transmit the patient's clinical medication behavior data to the behavior analysis system through the transmission network;
[0100] The behavior analysis system includes a data processing module, a data analysis mod...
Embodiment 2
[0108] The working method of the clinical medication behavior analysis system based on the efficient negative sequence mining mode described in embodiment 1 comprises steps as follows:
[0109] (1) The data acquisition module collects and saves the patient's clinical medication behavior data in real time. The clinical medication behavior data includes the patient's ID number, time stamp (that is, the time of diagnosis and treatment), prescribed drugs, symptoms, illnesses, and the patient's department;
[0110] Set the negative candidate sequence ns consisting of the drugs used by the patient; for example, set a negative candidate sequence as Refers to no use of drugs b, d, a, c refers to the use of drugs a, b;
[0111] Set m-size to refer to the m elements contained in the negative candidate sequence ns; for example, is a 4-size sequence;
[0112] It is assumed that MPS(ns) is a maximum positive subsequence of the negative candidate sequence ns composed of t...
PUM
Abstract
Description
Claims
Application Information
- R&D Engineer
- R&D Manager
- IP Professional
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com