A machine learning framework for predicting healthcare utilization and risk factors

Yead Rahman; Prerna Dua

doi:10.1016/j.health.2025.100411

A machine learning framework for predicting healthcare utilization and risk factors

Yead Rahman
, Prerna Dua

Louisiana Tech University
University of Missouri

Research output: Contribution to journal › Article › peer-review

Original language	English
Article number	100411
Journal	Healthcare Analytics
Volume	8
DOIs	https://doi.org/10.1016/j.health.2025.100411
State	Published - Dec 2025
Externally published	Yes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 10 Reduced Inequalities

ASJC Scopus Subject Areas

Analytical Chemistry
Health Informatics

Keywords

Clinical service utilization
Ensemble learning models
Machine learning
Medicaid data
Multi-target classification
Predictive modeling

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10.1016/j.health.2025.100411

Cite this

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title = "A machine learning framework for predicting healthcare utilization and risk factors",

keywords = "Clinical service utilization, Ensemble learning models, Machine learning, Medicaid data, Multi-target classification, Predictive modeling",

author = "Yead Rahman and Prerna Dua",

note = "Publisher Copyright: {\textcopyright} 2025 The Authors",

year = "2025",

month = dec,

doi = "10.1016/j.health.2025.100411",

language = "English",

volume = "8",

journal = "Healthcare Analytics",

issn = "2772-4425",

}

TY - JOUR

T1 - A machine learning framework for predicting healthcare utilization and risk factors

AU - Rahman, Yead

AU - Dua, Prerna

PY - 2025/12

Y1 - 2025/12

KW - Clinical service utilization

KW - Ensemble learning models

KW - Machine learning

KW - Medicaid data

KW - Multi-target classification

KW - Predictive modeling

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U2 - 10.1016/j.health.2025.100411

DO - 10.1016/j.health.2025.100411

M3 - Article

AN - SCOPUS:105013980841

SN - 2772-4425

VL - 8

JO - Healthcare Analytics

JF - Healthcare Analytics

M1 - 100411

ER -

A machine learning framework for predicting healthcare utilization and risk factors

UN SDGs

ASJC Scopus Subject Areas

Keywords

Access to Document

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