A deep-learning model that can accurately predict hospital readmission rates for patients with specific medical conditions

this Is my HealthCare Website under Hack-a-thon HackFest( Delhi/NCR) GEEKS FOR Geeks which is still in working .The system should continuously gather and analyze healthcare data while promoting healthy lifestyles and wellness practices.

FHIR layer for healthcare data platform GameBus and beyond

A topic-centric list of HQ open datasets of Pakistan

Predictive model and web application for heart stroke risk assessment using Data Science techniques. Includes machine learning, API, and data pipeline integration.

This is a FHIR v4.0 TypeScript class library implementing the JSON schema that is built for those who want to source the data, like from a UI, and send that data to a data store.

Health insurance customer segmentation using KMean clustering approach

Created to graphically inform health professionals about metrics of the virus they may be interested in. This dashboard allows the user to view the number of deaths, recoveries and vaccinations that have occurred. The analysis was done in MS Excel while the visualization was worked on in Power BI.

Explore the world of healthcare data analysis with Python 🐍 and SQL 🗄️. This project delves into three key medical datasets 🏥, uncovering trends and insights that can revolutionize healthcare decision-making and resource optimization 📊.

using a pretrained ML model to identify and extract named entities (drugs and dosage) from a medical corpus of clinical text

Welcome to the Data Cleaning Project repository. This project focuses on cleaning and preprocessing healthcare data to ensure quality and usability. The repository is structured into two branches: Main (contains the Healthcare Data Cleaning.ipynb notebook and detailed Technical Documentation.pdf) and Dataset-files (original dataset).

A curated dataset of Indian medicines, organized by brand. Essential for healthcare research and pharmaceutical analysis.

Convert DICOM files from DXA scans to other image formats, and parse the corresponding metadata files

Life saving notification script for doctors in US which notifies them when patient visits hospital via sms can be hosted on Cpanel

Class projects

Detección de cardiopatías en pacientes mediante el uso de datos clínicos utilizando técnicas de Machine Learning y Deep Learning.

Employed cutting-edge Machine Learning and Deep Learning algorithms, including SVM, Random Forest, and Neural Networks, to develop a dynamic framework for assessing pilots' qualification using Python and prominent ML libraries such as scikit-learn, TensorFlow, and PyTorch.

A Machine learning solution for Migraine Classification using Orange Tool

Diving into the challenges of data quality in women's healthcare, exploring real-life stories that highlight the critical need for accurate data collection and its impact on diagnoses, treatment, and pharmaceutical advancements. Shedding light on the persistent issues of gender bias in healthcare and advocating for the importance of quality data.