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cardiovascular-diseases-prediction

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Jigisha-p / Cardiovascular-Disease-Risk-Prediction

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This project endeavors to develop an effective model for predicting the risk of heart attacks based on a thorough analysis of relevant factors. The insights gained from this analysis will contribute to a better understanding of cardiovascular health and risk factors.

random-forest exploratory-data-analysis healthcare classification logistic-regression cardiovascular-diseases-prediction
  • Updated Aug 4, 2023
  • Jupyter Notebook

FaezehFarhan / Dyslipidemia

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Dyslipidemia, a condition with abnormal lipid levels in the blood, significantly increases the risk of cardiovascular diseases like heart attacks and strokes. This project aims to build accurate models for predicting dyslipidemia using both machine learning (ML) and deep learning (DL) techniques. The primary focus is on maximizing recall to minimiz

data-science machine-learning deep-learning neural-networks xgboost predictive-modeling smote medical-ai medical-diagnosis false-negatives healthcare-ai dyslipidemia-prediction dyslipidemia cardiovascular-diseases-prediction recall-optimization
  • Updated Oct 9, 2024
  • Jupyter Notebook

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