medical-data-analysis

A real-time data cleaning pipeline for medical and healthcare data using Apache Spark, SparkNLP, Spark Streaming, and Kafka.

A Python bootcamp for medical students designed to teach basic DICOM and imaging data handling skills.

Heart rate and HRV from single-lead ECG with distribution-free uncertainty intervals, a learned signal-quality index, and the ability to abstain.

Code to run experiments generating synthetic time series medical data

A deep learning model to predict blood donor availability using TensorFlow and sklearn. Features data preprocessing, neural network training, and ROC curve visualization. Achieve high accuracy in predicting donor status! 🩺💉

Predict Diabetes Progression: A linear regression model to predict diabetes progression using patient attributes. Collaborate to improve predictions. Jupyter Notebook implementation.

📊 Medical data analysis Python project

A MATLAB-based domain adaptation toolbox for medical data analysis. It supports synthetic data generation for rapid validation and benchmarking, and includes a collection of popular, lightweight domain adaptation algorithms. The toolbox also provides image-level domain adaptation (harmonization) methods for medical imaging applications.

A web application that detects gender bias in healthcare datasets, enabling equitable AI-driven care and supporting the advancement of inclusive data informed medical research.

Package to develop and evaluate time series data models based on fluctuation based clustering and Earth Mover's Distances

We will explore a data set dedicated to the cost of treatment of different patients. The cost of treatment depends on many factors: diagnosis, type of clinic, city of residence, age and so on.

Computing a Likelihood Ratio Test on Wisconsin Breast Cancer Dataset to detect the most relevant features to infer wether a tumor is Malignous or Benign

Aplicación para el seguimiento de la presión arterial, permitiendo el registro y visualización de mediciones de presión sistólica y diastólica.

Chronic Kidney Disease Prediction Using ML | Website |

Comprehensive pipeline for medical insurance cost prediction featuring data inspection, visualization, and regression modeling (linear, polynomial, random forest) on personal and health records.

Dynamic Multi-Swarm Particle Swarm Optimization Support Vector Machine

Drug response classification using Support Vector Machine (SVM) with EDA, feature engineering, hyperparameter tuning, and kernel comparison for healthcare analytics.

Pymimic3 is a scalable experimentation platform for MIMIC-III, featuring ready-to-run models, fully tested utilities for concept drift research, and a parallelized, configurable data pipeline.

FreeCodeCamp data analysis challenge: Medical Data Visualizer 📊