A comprehensive project to predict and analyze diabetes health data using advanced machine learning models, including Logistic Regression, Random Forest, and XGBoost. 📊🔍
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Updated
Jun 12, 2024 - Jupyter Notebook
A comprehensive project to predict and analyze diabetes health data using advanced machine learning models, including Logistic Regression, Random Forest, and XGBoost. 📊🔍
Web application providing personalized food recommendations based on CBC and Vitamin/Mineral blood test results.
Postpartum Analysis is a comprehensive assessment conducted after childbirth to evaluate the mother's physical and emotional well-being. It covers factors like recovery progress, mental health, and newborn care, ensuring a holistic understanding of the postpartum experience for optimal support.
Project contains a short medical analysis and a machine learning model predicting if a patient has or hasn't a disease.
MATLAB-based tools for analyzing pulse oximetry data, including signal processing, AC/DC component extraction, spectrogram analysis, and visualization.
AI-Powered Health Assistant: A comprehensive cross-platform application to scan medication boxes, analyze medical prescriptions/lab reports, and interpret medical images (X-rays, CT scans) using advanced OCR and AI-driven educational insights.
AI-powered medical report analyzer that extracts symptoms, conditions and medications from clinical text using NLP and FastAPI.
Analysis tool for people suffering from Cavernous Malformations or Cavernous
Python scripts for ECG signal processing and heart rate analysis.
X-ray image processing and analysis tool for medical imaging applications
Healthcare Data Analytic Solution @ https://devpost.com/software/house-ai
An AI-powered health consultation system that analyzes medical test results using GPT-4, built securely with React and TypeScript.
A comprehensive project analyzing heart attack risk factors through exploratory data analysis and machine learning to predict and provide actionable healthcare insights.
AI-powered medical document analysis tool
certification python project from freecodecamp
Investigation and Analysis carried out on a medical appointment dataset with about 100,000 records. The dataset was gotten from Kaggle.
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