A Comparative Feature Selection Approach for the Prediction of Healthcare Coverage

Prerna Sethi; Mohit Jain; Prerna Dua

doi:10.1007/978-3-642-12035-0_41

A Comparative Feature Selection Approach for the Prediction of Healthcare Coverage

Prerna Sethi
, Mohit Jain
, Prerna Dua

Louisiana Tech University

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

Original language	American English
Journal	International Conference on Information Systems, Technology and Management
DOIs	https://doi.org/10.1007/978-3-642-12035-0_41
State	Published - Mar 11 2010

UN SDGs

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

SDG 10 Reduced Inequalities

Disciplines

Computer Sciences
Engineering
Artificial Intelligence and Robotics

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title = "A Comparative Feature Selection Approach for the Prediction of Healthcare Coverage",

author = "Prerna Sethi and Mohit Jain and Prerna Dua",

note = "Determining the factors that contribute to the healthcare disparity in United States is a substantial problem that healthcare professionals have confronted for decades. In this study, our objective...",

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AU - Sethi, Prerna

AU - Jain, Mohit

AU - Dua, Prerna

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M3 - Article

JO - International Conference on Information Systems, Technology and Management

JF - International Conference on Information Systems, Technology and Management

ER -

A Comparative Feature Selection Approach for the Prediction of Healthcare Coverage

UN SDGs

Disciplines

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