Using Machine Learning Algorithms to Predict Hospital Acquired Thrombocytopenia after Operation in the Intensive Care Unit: A Retrospective Cohort Study

Hospital acquired thrombocytopenia (HAT) is a common hematological complication after surgery. This research aimed to develop and compare the performance of seven machine learning (ML) algorithms for predicting patients that are at risk of HAT after surgery. We conducted a retrospective cohort study...

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Detalles Bibliográficos
Autores principales: Cheng, Yisong, Chen, Chaoyue, Yang, Jie, Yang, Hao, Fu, Min, Zhong, Xi, Wang, Bo, He, Min, Hu, Zhi, Zhang, Zhongwei, Jin, Xiaodong, Kang, Yan, Wu, Qin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8466367/
https://www.ncbi.nlm.nih.gov/pubmed/34573956
http://dx.doi.org/10.3390/diagnostics11091614

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8466367/
https://www.ncbi.nlm.nih.gov/pubmed/34573956
http://dx.doi.org/10.3390/diagnostics11091614

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