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A Comparative Study of Random Forest and K-Nearest Neighbors for Predicting Hypertension and Diabetes

Year: 2025

Type: conference-paper

Source: IEEE International Conference on Image Processing and Computer Applications (ICIPCA)

DOI: 10.1109/icipca65645.2025.11138843

Author: Shupei Qiao

Institution: City University of Hong Kong

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: closed

OpenAlex ID: W4414037266

FWCI:

Cites: 9

Cited by:

Related to: 10