A Machine learning solution for Migraine Classification using Orange Tool

Config files for my GitHub profile.

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.

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.

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.

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 topic-centric list of HQ open datasets of Pakistan

Cross-sectional analysis of the association between poor mental health days, healthcare access and cannabis in WA State using BRFSS data from the CDC.

Clinical models for admission of emergency patients

Group project for the course BUDT704: Data Processing and Analysis using Python

Implemented classification models on heart failure dataset to assess the likelihood of an event that can be attributed to cardiovascular disease with R

الموقع الرسمى لـ د/ شمس

Our systematic review provides a comprehensive summary of the applications of artificial intelligence in health informatics. This repository serves as a hub for the collection of papers we reviewed, providing a resource for researchers interested in exploring this topic. We welcome contributions to improve and expand our collection.

An application to predict the risk of stroke by analyzing medical checkup data and personal metrics. Implemented weighted Naive Bayes, ID3 Decision Tree, and Random Forest models in Python.

Code and documentation for analysis predicting patient readmission rates. Work in progress.

Parse a XML file of ICD10 codes

This healthcare analytics project uses SQL queries to extract insights from patient data, encounters data, and etc.