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Using Machine Learning to Predict Hypertension from Lifestyle Factors: A Study Using NHANES Data

Year: 2025

Type: conference-paper

Source: International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA)

DOI: 10.1109/acdsa65407.2025.11165895

Authors: Cameron Potvin, Daniel Currey, Lark Inostroza, Kanika Sood

Institution: California State University, Fullerton

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: W4414464437

FWCI: 3.347

Cites: 14

Cited by: 2

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