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Drug recommendation modeling method based on medical record data and drug interaction risks

A modeling method and drug technology, applied in the field of information processing, can solve problems such as clinical decision-making is not the best choice, and achieve the effect of reducing the incidence of adverse drug reactions and ensuring drug safety

Active Publication Date: 2020-11-20
XIAMEN UNIV
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Problems solved by technology

However, often these clinical decisions may not be optimal due to knowledge gaps or unanticipated biases

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  • Drug recommendation modeling method based on medical record data and drug interaction risks

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Embodiment

[0037] Examples, see figure 1 , a drug recommendation modeling method based on medical record data and drug interaction risk of the present invention, comprising the following steps:

[0038] A drug recommendation modeling method based on medical record data and drug interaction risk, including the following steps:

[0039] S100: Extract heterogeneous features from medical record data, outpatient medical record data and TWOSIDES drug interaction data;

[0040] S200: Construct a drug recommendation sequence generation model according to the extracted multi-source heterogeneous features;

[0041] S300: Input the patient's medical records into the drug recommendation sequence generation model, and the model calculates and outputs the recommended drug information.

[0042] Further, step S100 specifically includes the following steps:

[0043] S110: Extracting the patient's physiological information and diagnostic information from the medical record data and outpatient medical r...

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Abstract

The invention discloses a drug recommendation modeling method based on medical record data and drug interaction risk. The method specifically comprises the following steps: S100, performing heterogeneous feature extraction operation on medical record data, outpatient medical record data and TWOSIDES drug interaction data; S200, constructing a drug recommendation sequence generation model accordingto extracted multi-source heterogeneous features; and S300, inputting patient medical records into the drug recommendation sequence generation model, and calculating and outputting recommended medication information by the model. According to the drug recommendation modeling method based on medical record data and drug interaction risks in the invention, automatic learning and modeling are performed based on massive historical case data and drug interaction information, drug recommendation information is given, an accurate and effective decision basis is provided for reasonable combination ofclinical drugs, the occurrence rate of adverse drug reactions is reduced, and effective guarantee is provided for drug use safety of users.

Description

technical field [0001] The invention relates to the field of information processing, in particular to a drug recommendation modeling method based on medical record data and drug interaction risks. Background technique [0002] After investigation, we found that there is not a simple one-to-one relationship between diseases and symptoms. The occurrence of one disease may cause multiple symptoms to occur at the same time. Therefore, doctors must use multiple drugs in combination to cure patients. Likewise, the co-occurrence of two or more chronic or acute conditions in an individual patient is increasingly common. Therefore, how to choose the most suitable treatment plan according to the patient's disease condition has become the most important part of the patient's medical treatment process. The combination of drugs needs to consider the medical condition of the patient. The effectiveness of the treatment and the potential adverse effects of the treatment all affect the fina...

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Application Information

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IPC IPC(8): G16H20/10G16H70/40G06N3/02
CPCG16H20/10G16H70/40G06N3/02
Inventor 陈龙彪蔡晓海邵云婷游建议林志铭邵志宇傅建强黄艳
Owner XIAMEN UNIV
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