Predicting Antibiotic Resistance in ICUs Patients by Applying Machine Learning in Vietnam.

Tran Quoc, Viet; Nguyen Thi Ngoc, Dung; Nguyen Hoang, Trung; Vu Thi, Hoa; Tong Duc, Minh; Do Pham Nguyet, Thanh; Nguyen Van, Thanh; Ho Ngoc, Diep; Vu Son, Giang; Bui Duc, Thanh

Tran Quoc, Viet; Nguyen Thi Ngoc, Dung; Nguyen Hoang, Trung; Vu Thi, Hoa; Tong Duc, Minh; Do Pham Nguyet, Thanh; Nguyen Van, Thanh; Ho Ngoc, Diep; Vu Son, Giang; Bui Duc, Thanh.

Afiliação

Tran Quoc V; Intensive Care Unit, Military Hospital 175, Ho Chi Minh City, Vietnam.
Nguyen Thi Ngoc D; Department of Military Science and Training, Military Hospital 175, Ho Chi Minh City, Vietnam.
Nguyen Hoang T; Hanoi University of Public Health, Hanoi, Vietnam.
Vu Thi H; Department of Military Hygiene, Vietnam Military Medical University, Hanoi, Vietnam.
Tong Duc M; Department of Military Hygiene, Vietnam Military Medical University, Hanoi, Vietnam.
Do Pham Nguyet T; Department of Military Hygiene, Vietnam Military Medical University, Hanoi, Vietnam.
Nguyen Van T; Department of Military Science and Training, Military Hospital 175, Ho Chi Minh City, Vietnam.
Ho Ngoc D; Department of General Planning, Military Hospital 175, Ho Chi Minh City, Vietnam.
Vu Son G; Department of Military Science and Training, Military Hospital 175, Ho Chi Minh City, Vietnam.
Bui Duc T; Department of Personnel, Military Hospital 175, Ho Chi Minh City, Vietnam.

Infect Drug Resist ; 16: 5535-5546, 2023.

Article em En | MEDLINE | ID: mdl-37638070

Palavras-chave

LightGBM; XGBoost; antibiotic resistance; machine learning; random forest

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Infect Drug Resist Ano de publicação: 2023 Tipo de documento: Article

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