Work

Feature Selection Using Automatic Programming Methods in Hypertension Risk Prediction

Year: 2024

Type: conference-paper

Source: International Artificial Intelligence and Data Processing Symposium (IDAP)

DOI: 10.1109/idap64064.2024.10711046

Authors: Merve YaĞmurcu, Sibel Arslan

Institution: Sivas Cumhuriyet Üniversitesi

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: W4403447353

FWCI: 0.495

Cites: 16

Cited by: 1

Related to: 10