Applied machine learning for the risk-stratification and clinical decision support of hospitalised patients with dengue in Vietnam

<p><strong>Background</strong></p> Identifying patients at risk of dengue shock syndrome (DSS) is vital for effective healthcare delivery. This can be challenging in endemic settings because of high caseloads and limited resources. Machine learning models trained using clinic...

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Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς:	Ming, DK, Hernandez, B, Sangkaew, S, Vuong, NL, Lam, PK, Nguyet, NM, Tam, DTH, Trung, DT, Tien, NTH, Tuan, NM, Chau, NVV, Tam, CT, Chanh, HQ, Trieu, HT, Simmons, CP, Wills, B, Georgiou, P, Holmes, AH, Yacoub, S
Άλλοι συγγραφείς:	Vietnam ICU Translational Applications Laboratory (VITAL) investigators
Μορφή:	Journal article
Γλώσσα:	English
Έκδοση:	Public Library of Science 2022

Applied machine learning for the risk-stratification and clinical decision support of hospitalised patients with dengue in Vietnam

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