Machine learning prediction models for clinical management of blood-borne viral infections: a systematic review of current applications and future impact

•Machine learning (ML) prediction models hold promising potential for advancing clinical research and patient care in the management of blood-borne viral infections, including hepatitis B virus (HBV).•The development of ML clinical prediction models is often constrained in resource-limited settings,...

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Veröffentlicht in:	International journal of medical informatics (Shannon, Ireland) Ireland), 2023-11, Vol.179, p.105244-105244, Article 105244
Hauptverfasser:	Ajuwon, Busayo I., Awotundun, Oluwatosin N., Richardson, Alice, Roper, Katrina, Sheel, Meru, Rahman, Nurudeen, Salako, Abideen, Lidbury, Brett A.
Format:	Artikel
Sprache:	eng
Schlagworte:	Blood-borne viral infections Clinical-decision making Hepatitis B virus Hepatitis C virus Human immunodeficiency virus Machine learning
Online-Zugang:	Volltext
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