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Project using machine learning to predict depression using health care data from the CDC NHANES website. A companion dashboard for users to explore the data in this project was created using Streamlit. Written with python using jupyter notebook for the main project flow/analysis and visual studio code for writing custom functions and creating th…
This repository features cutting-edge machine learning applications in healthcare, addressing diverse challenges such as dermatological lesion detection, ECG signal categorization, gland segmentation in colorectal cancer, pathological myopia prediction, and pneumothorax identification.
jupyter-eds-notebooks provides Docker images with preconfigured Jupyter environments for clinical and health data analysis, tailored for AP‑HP Datalabs and the HELIX platform.
Python exploratory data analysis project examining clinical trial data using Pandas, data cleaning, statistical summaries, visualisations, and trend analysis to identify trial patterns, study characteristics, participant insights, and research outcome distributions.
A very interesting repo towards Alzheimer disease (Healthcare) contains 2 important Notebooks one with handling the imbalance data and other without significantly handling the imbalance.
This is a comprehensive, high-impact healthcare data analysis and predictive modeling pipeline for the Breast Cancer dataset. Suitable for a Jupyter Notebook or Kaggle Notebook environment.