heart-failure-prediction
Research Project Heart Failure Prediction
Science Score: 44.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
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○DOI references
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○Academic publication links
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (3.9%) to scientific vocabulary
Repository
Research Project Heart Failure Prediction
Basic Info
Statistics
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
Heart-Failure-Prediction
This research project aims to improve the accuracy of heart failure prediction models using hyperparameter optimization and feature selection. 8 supervised learning classification algorithms namely Logistic Regression, KNN, Naive Bayes, SVM, Decision Tree, Random Forest, LightGBM and XGBoost predictions were analyzed and improved upon using hyperparameter optimization and feature selection. An accuracy of 87.83% was achieved using Random Forest for all 12 features and KNN for top 5 features (selected after feature selection).
Citation
To cite this repository refer to CITATION.cff
Owner
- Name: Ananya Gupta
- Login: Ananya2003Gupta
- Kind: user
- Twitter: ananya_gupt_a
- Repositories: 7
- Profile: https://github.com/Ananya2003Gupta
A tech geek who is trying and testing different programming languages, frameworks as well as technologies and playing around with them to create something new.
Citation (CITATION.cff)
# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!
cff-version: 1.2.0
title: Heart Failure Prediction
message: >-
If you use this software, please cite it using the
metadata from this file.
type: software
authors:
- given-names: Ananya
family-names: Gupta
email: ananya004btcse21@igdtuw.ac.in
- given-names: Astha
family-names: Varshney
email: astha119btcse21@igdtuw.ac.in
repository-code: >-
https://github.com/Ananya2003Gupta/Heart-Failure-Prediction
date-released: '2022-08-29'
GitHub Events
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Last Year
Issues and Pull Requests
Last synced: 12 months ago
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- Average comments per issue: 0
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Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
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- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0