Work

X-Random Forest: An Explainable AI Framework for Early Stage Diabetes Prediction with Hyperparameter Tuning and Cross-validation

Year: 2024

Type: conference-paper

Source: International Conference on Computer and Information Technology (ICCIT)

DOI: 10.1109/iccit64611.2024.11022169

Authors: Faniyam Maria Mansia, Anwar Hossain Efat, M D Shahriar Hoque, Osman Gani Mridul

Institution: International University of Business Agriculture and Technology

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: W4411172212

FWCI: 2.417

Cites: 29

Cited by: 5

Related to: 10