Open AccessSimilarity study of clinical data
Author(s) -
Wenjun Yu,
Kai Wang,
Bin Hu,
Yu Huang
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1732/1/012013
Subject(s) - similarity (geometry) , computer science , data mining , artificial intelligence , basis (linear algebra) , disease , pattern recognition (psychology) , medicine , mathematics , image (mathematics) , geometry
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.