Hemanth Sai Kumar Gaddam

Comprehensive R-based analysis of global mental-health disorder prevalence (1990–2017), including data cleaning, EDA, hypothesis testing, per-country trend modeling, clustering

Machine-learning pipeline for predicting stroke risk from patient health and lifestyle data.

No description provided.

Interoperability project demonstrating seamless data exchange between OpenMRS (EMR) and OpenELIS (LIMS) using HL7 CDA and XML. Developed for genetic testing workflows involving the FBN1 gene.

Dental OPG image synthesis using GANs. This project demonstrates a complete pipeline for preprocessing dental OPG images and training a GAN to generate realistic synthetic images.

Accelerometer-Based Patient Movement Monitoring Outside Clinical Settings – A project to process accelerometer data from stroke survivors, compute a novel movement measure (M2), and compare it with conventional clinical scores (MAL). This analysis explores objective, continuous monitoring of patient movement and evaluates its clinical relevance.

Within-VR Performance Conditioned on Cognitive Function: This repository contains project materials for analyzing VR performance conditioned on cognitive function. The analysis includes descriptive statistics, Spearman correlation, linear regression, and visualization of task completion times versus Block Design scores.

Definition and DDLs for the OMOP Common Data Model (CDM)

Python bootcamp for Health Informatics

No description provided.