Using NHANES dataset to train a model to predict heart disease, accuracy 0.865, recall 0.805

A Pure Statistical Analysis using various tools of variable selection, model selection and diagnostics, model shrikage methods, verification using prediction error, and finally concluding on the model parameters impact on the dependent variable. View the video for a better and a deeper statistical intuition of the data analysis project!

Supervised learning models to predict telomere length from the CDC's NHANES data

Pilot studies for NHSx on understanding the digital shift due to the lockdown during the COVID-19 pandemic.

The National Health and Nutrition Examination Survey (NHANES) is a program of studies designed to assess the health and nutritional status of adults and children in the United States. The NHANES interview includes demographic, socioeconomic, dietary, and health-related questions. Here, we use the Demographics dataset and reduce its dimensionalit…

Using The National Health and Nutrition Examination Survey (NHANES) to Predict Heart Disease

A repository for work exploring effect modification in Diabetics from the NHANES 2001-2006 data

Centralised service for providing configuration to Endeavour Health services and components

NHS accused of fuelling rise in opioid addiction

Python package for interacting with NHS Digital's Spine Mini Service Provider

Predicting biometrics from CDC nhs data

Machine learning and analysis of heavy metal concentration using the NHANES datasets for 2017-2018.

Analysis of National Health and Nutrition Examination Survey (NHANES) BMI data in R

Final project - Advanced Analytic Methods in Environmental Sciences

An End-to-end Machine Learning System with User Interface for predicting the 10-year risk of death of individuals from the NHANES I epidemiology dataset. This project leverages risk models (a.k.a. prognostic models) built using machine learning to perform predictions given the patient's medical profile.

Analysis of Public Health Scotland high risk group shielding survey