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Machine Learning-Driven Models to Predict Prognostic Outcomes in Patients Hospitalized With Heart Failure Using Electronic Health Records: Retrospective Study.

Journal of medical Internet research | 2021

With the prevalence of cardiovascular diseases increasing worldwide, early prediction and accurate assessment of heart failure (HF) risk are crucial to meet the clinical demand.

Pubmed ID: 33871375 RIS Download

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This is a list of tools and resources that we have found mentioned in this publication.


scikit-learn (tool)

RRID:SCR_002577

scikit-learn: machine learning in Python

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SciPy (tool)

RRID:SCR_008058

A Python-based environment of open-source software for mathematics, science, and engineering. The core packages of SciPy include: NumPy, a base N-dimensional array package; SciPy Library, a fundamental library for scientific computing; and IPython, an enhanced interactive console.

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