sauravmishra1710 / Heart-Failure-Condition-And-Survival-Analysis

Perform a survival analysis based on the time-to-event (death event) for the subjects. Compare machine learning models to assess the likelihood of a death by heart failure condition. This can be used to help hospitals in assessing the severity of patients with cardiovascular diseases and heart failure condition.

Date Created 2020-10-10 (4 years ago)
Commits 239 (last one 2 years ago)
Stargazers 41 (0 this week)
Watchers 1 (0 this week)
Forks 17
License unknown
Ranking

RepositoryStats indexes 617,578 repositories, of these sauravmishra1710/Heart-Failure-Condition-And-Survival-Analysis is ranked #530,376 (14th percentile) for total stargazers, and #557,741 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #14,671/18,408.

sauravmishra1710/Heart-Failure-Condition-And-Survival-Analysis is also tagged with popular topics, for these it's ranked: machine-learning (#7,426/8268),  data-visualization (#860/943),  machine-learning-algorithms (#259/281)

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Recent Commit History

231 commits on the default branch (master) since jan '22

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updated: 2024-12-03 @ 02:09am, id: 302879721 / R_kgDOEg2T6Q