This repository contains the code and conclusions from a Breast Cancer Detection Machine Learning project. This project using FNA imaging and classification models to determine if breast cancer cells are malignant or benign

Predicting the readmission of Diabetic patients using Machine Learning based on various factors.

Gather, share and discover using GitHub to design innovative digital health solutions.

[Python] Machine Learning models to predict the diabetes status of individuals in the United States

A comparative analysis of advanced econometric methods to measure the impact of smoking on a fetus

Apply Data Analytics Techniques on Autism dataset to discover hidden patterns that would be leveraged in decision making.

Graphics for the article "Methods used in the development of Common Data Models for health data – a Scoping Review"

Breast Cancer Prediction - Artificial Intelligence Project

Heart Disease Prediction - Data Mining Project

ML Project to assess the likelihood of death by heart failure

This repository contains all the code and other relevant resources from one of my co-authored research papers

This dataset contains the sign and symptom data of newly diabetic or would-be diabetic patients. The data were collected using direct questionnaires from the patients of Sylhet Diabetes Hospital in Sylhet, Bangladesh, and approved by a doctor.

A simple flask based app for use in healthcare

Data Science tutorials authored by me. Will be updated as I create them/learn them!

Correlation analysis project to examine whether the lower income neighborhood more likely to be infected with COVID-19 in NYC.

A Spring Boot Application with a Thymeleaf Frontend. Java + Spring Boot framework. MVC and Data transfer Object Design Pattern DTOD), Using an open-source REST client - Spring REST template.

NIDDK (National Institute of Diabetes and Digestive and Kidney Diseases) research creates knowledge about and treatments for the most chronic, costly, and consequential diseases. The dataset used in this project is originally from NIDDK. The objective is to predict whether or not a patient has diabetes, based on certain diagnostic measurements i…

It is a Capstone project. A model has been created to predict for the heart diseases. It can be very useful for the health sector as cardiovascular diseases are rapidly increasing. The record contains patients' information. It includes over 4,000 records and 15 attributes.