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 40 (0 this week)
Watchers 1 (0 this week)
Forks 15
License unknown
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RepositoryStats indexes 579,555 repositories, of these sauravmishra1710/Heart-Failure-Condition-And-Survival-Analysis is ranked #509,093 (12th percentile) for total stargazers, and #532,492 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #13,910/16,901.

sauravmishra1710/Heart-Failure-Condition-And-Survival-Analysis is also tagged with popular topics, for these it's ranked: machine-learning (#7,193/7877),  data-visualization (#829/899),  machine-learning-algorithms (#254/274)

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

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updated: 2024-10-23 @ 12:01pm, id: 302879721 / R_kgDOEg2T6Q