An Optimized Machine Learning Model Accurately Predicts In-Hospital Outcomes at Admission to a Cardiac Unit

Risk stratification at the time of hospital admission is of paramount significance in triaging the patients and providing timely care. In the present study, we aim at predicting multiple clinical outcomes using the data recorded during admission to a cardiac care unit via an optimized machine learni...

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Detalles Bibliográficos
Autores principales: Bollepalli, Sandeep Chandra, Sahani, Ashish Kumar, Aslam, Naved, Mohan, Bishav, Kulkarni, Kanchan, Goyal, Abhishek, Singh, Bhupinder, Singh, Gurbhej, Mittal, Ankit, Tandon, Rohit, Chhabra, Shibba Takkar, Wander, Gurpreet S., Armoundas, Antonis A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8871182/
https://www.ncbi.nlm.nih.gov/pubmed/35204333
http://dx.doi.org/10.3390/diagnostics12020241

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8871182/
https://www.ncbi.nlm.nih.gov/pubmed/35204333
http://dx.doi.org/10.3390/diagnostics12020241

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