Developed a machine learning model for diabetes prediction, using patient data to provide early risk assessments and improve healthcare outcomes.
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Updated
Oct 10, 2024 - Jupyter Notebook
Developed a machine learning model for diabetes prediction, using patient data to provide early risk assessments and improve healthcare outcomes.
Many institutions recognize the importance of athletes' behaviors across the 24-hour cycle, leading to increased monitoring on and off the field. Institutions often turn to consumer-grade activity monitors that allow for continuous tracking. This repository provides the user with valuable experience for analyzing data from such devices
Machine learning project to predict obesity risk levels based on lifestyle and demographic data. This project utilizes advanced algorithms like CatBoost, LightGBM, and more to classify individuals into different obesity categories
The W4H Integrated Toolkit Repository provides a unified platform for managing, analyzing, and visualizing wearable health data using a suite of open-source tools and frameworks.
Statistical study of various health related questions
Mini Case Study is from Danny Ma's 8 Week SQL Challenge
Data analysis of concerning prevalence of heart disease and stroke given various health variables, such as Age, Smoking habits, Weight, among others.
In this notebook, we're going to analyse the data that made Semmelweis discover the importance of handwashing. Let's start by looking at the data that made Semmelweis realize that something was wrong with the procedures at Vienna General Hospital.
The swiss army knife for discharge abstract database (DAD).
Milestone 2 project - Electronic Health Record Analysis and ICD Code Prediction
A SAS analysis project on cardiovascular disease data
MortalityMinder: an R-based, multi-view interactive presentation examining county-level factors associated with midlife mortality trends.
Data analysis focusing on health problems
The app helps to analyze correlation between various weather parameters and symmetry of electrocardiographic T-wave
Patient Reported Information Multidimensional Exploration (PRIME) is an automated platform to investigate Online Support Group (a.k.a. health forums, online health groups) discussions for investigation of individualised patient behaviours and patient information, over time.
FHIR server that transforms QuestionnaireResponses to OHDSI OMOP CDM.
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