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Method and system for supporting medical decision making

A medical and patient technology, applied in the field of medical decision support systems, can solve problems such as inability to analyze and predict patients, and achieve the effect of improving accuracy

Pending Publication Date: 2020-08-04
英泰曲尔德直线有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In most of the methods, DSS is able to detect the presence or absence of some pathology (disease), however, it cannot perform the analysis and prognosis of the disease process for a specific patient

Method used

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  • Method and system for supporting medical decision making
  • Method and system for supporting medical decision making
  • Method and system for supporting medical decision making

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Embodiment Construction

[0032] The following terms and definitions are used in this technical solution.

[0033] Vector Representation - a generic name denoting different methods for language modeling and training in natural language processing, aiming to match n words (and possibly phrases) from Rn's vector dictionary than there are in the dictionary The number of words is much less. Distributional semantics is the theoretical foundation of vector representations. There are various ways to create such matches, for example, using neural networks, dimensionality reduction methods applied to word co-occurrence matrices, and explicit representations trained using contextual occurrence words.

[0034] Patient vector representation - a mathematical model of the patient based on the patient's physiological data, past medical records, medical history and its treatment (method and treatment process, prescription drugs, etc.), so that it can predict the disease process, diagnose, propose suggestions, and tre...

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Abstract

A method for supporting medical decision making using mathematical models of patients, implemented on a server, includes: generating a training dataset containing electronic medical records of patients grouped by patient; pre-processing the data contained in the medical records of patients selected from the training dataset; converting the processed data into a sequence of medical facts with respect to each patient, using medical ontologies; automatically tagging the resulting sequence of medical facts with respect to each patient, using facts of interest extracted from the patient's medical record; training initial representations independently for each modality; training combined representations; training final models and aggregation parameters; obtaining the medical record of a patientnot included in the training dataset; pre-processing the data contained in the patient medical record obtained; converting the pre-processed data into a sequence of medical facts, using medical ontologies; sending the resulting set of facts for input into the models generated; determining a diagnosis, and also conducting an analysis and predicting the most probable disease development with respectto the patient according to the set of facts presented.

Description

technical field [0001] The technical solution involves the field of artificial intelligence, that is, medical decision support systems. Background technique [0002] The detection and diagnosis of disease in patients is a complex problem, which is usually tackled by physicians. There are many factors that affect the doctor's diagnosis, including the doctor's experience, concentration, and the complexity of the current case. Use different decision support systems to eliminate these deficiencies. [0003] In most methods, a decision support system is able to detect the presence or absence of certain pathologies (diseases), however, it cannot perform the analysis and prognosis of the disease process for a specific patient. Contents of the invention [0004] The technological solution enables the creation of mathematical models of patients, which can improve diagnostic accuracy and patient-specific analysis and prognosis of disease processes. [0005] A method performed on ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H10/60G16H50/00
CPCG06F17/00G06N3/02G06N20/00G16H50/20G16H50/70G16H70/60G16H10/60G16H50/50G16H70/20A61B5/7267
Inventor I·S·德罗金O·L·布赫瓦洛夫S·Y·索罗金
Owner 英泰曲尔德直线有限公司
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