Predicting Unmet Healthcare Needs in Post-Disaster: A Machine Learning Approach. | Int J Environ Res Public Health;20(19)2023 09 24. | MEDLINE

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Predicting Unmet Healthcare Needs in Post-Disaster: A Machine Learning Approach.

Han, Hyun Jin; Suh, Hae Sun.

Affiliation

Han HJ; Department of Regulatory Science, Graduate School, Kyung Hee University, Seoul 02447, Republic of Korea.
Suh HS; Institute of Regulatory Innovation through Science (IRIS), Kyung Hee University, Seoul 02447, Republic of Korea.

Int J Environ Res Public Health ; 20(19)2023 09 24.

Article in En | MEDLINE | ID: mdl-37835087

Subject(s)

Disasters; Humans; Machine Learning; Health Facilities; Surveys and Questionnaires; Delivery of Health Care

Key words

healthcare utilization; post-disaster management; supervised machine learning

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Disasters Limits: Humans Language: En Journal: Int J Environ Res Public Health Year: 2023 Document type: Article

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Disasters Limits: Humans Language: En Journal: Int J Environ Res Public Health Year: 2023 Document type: Article