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 15
License unknown
Ranking

RepositoryStats indexes 584,353 repositories, of these sauravmishra1710/Heart-Failure-Condition-And-Survival-Analysis is ranked #507,580 (13th percentile) for total stargazers, and #535,930 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #13,825/17,098.

sauravmishra1710/Heart-Failure-Condition-And-Survival-Analysis is also tagged with popular topics, for these it's ranked: machine-learning (#7,187/7926),  data-visualization (#830/907),  machine-learning-algorithms (#252/274)

Star History

Github stargazers over time

Watcher History

Github watchers over time, collection started in '23

Recent Commit History

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

Yearly Commits

Commits to the default branch (master) per year

Issue History

No issues have been posted

Languages

The primary language is Jupyter Notebook but there's also others...

updated: 2024-11-14 @ 05:12pm, id: 302879721 / R_kgDOEg2T6Q