Work

Similarity study of clinical data

Year: 2021

Type: conference-paper

Abstract: The classification of patients is very important for accurately determining the patient’s disease and subsequent drug use. More and more clinical data provide a clue for the classification of various diseases. We use related software to generate simulation data based on ICD10 and propose a specific algorithm to classify patients, and find patients belonging to other categories in the classified patient group, which provides a theoretical basis for the improvement of various classification algorithms for diseases.

Source: Journal of Physics Conference Series

DOI: 10.1088/1742-6596/1732/1/012013

Authors: Wenjun Yu, Kai Wang, Bin Hu, Yu Huang

Institution: Huazhong Agricultural University

Language: English

Topic: Artificial Intelligence in Healthcare

Subfield: Health Information Management

Field: Health Professions

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: diamond

Funders: Huazhong Agricultural University, Fundamental Research Funds for the Central Universities