Predicting 2-Day Mortality of Thrombocytopenic Patients Based on Clinical Laboratory Data Using Machine Learning

BACKGROUND: Clinical laboratories have traditionally used a single critical value for thrombocytopenic events. This system, however, could lead to inaccuracies and inefficiencies, causing alarm fatigue and compromised patient safety. OBJECTIVES: This study shows how machine learning (ML) models can...

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Detalles Bibliográficos
Autores principales: Lien, Frank, Wang, Hsin-Yao, Lu, Jang-Jih, Wen, Ying-Hao, Chiueh, Tzong-Shi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2021
Materias:
Original Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7993911/
https://www.ncbi.nlm.nih.gov/pubmed/33027237
http://dx.doi.org/10.1097/MLR.0000000000001421

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7993911/
https://www.ncbi.nlm.nih.gov/pubmed/33027237
http://dx.doi.org/10.1097/MLR.0000000000001421

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