A Quantum Computing and Machine Learning Model that accelerates the Drug Research and Development process

Training Manual for RAISE: REDCap and R Integration for Scientific Excellence

CardioSTAT is an advanced R-based framework for heart disease classification and prediction, integrating statistical and machine learning approaches. This hybrid model combines ordinal regression with XGBoost for accurate classification and severity prediction, while offering extensive ROC analysis, statistical testing, and visualization tools.

Client library for interacting with ARIA APIs for data deposition.

A curated clinical dataset detailing the clinical journeys of visceral surgical patients, aimed at enhancing research and patient outcomes.

Projects relating to medicine and healthcare.

Welcome to Healthcare Thoughts! This is where I share my insights at the intersection of healthcare and technology. Explore articles on federated learning, blockchain, AI in medicine, health data privacy, and telemedicine. Let's engage in meaningful conversations about the exciting world of healthcare tech!

A curated dataset of Indian medicines, organized by brand. Essential for healthcare research and pharmaceutical analysis.

A repository containing deep learning models and evaluation methods for enhancing medical image segmentation in Computed Tomography (CT) scans, with a focus on U-Net variants, nnUNet, and Swin-UNet architectures.

Welcome to the GitHub repo for "HMS - EEG Exploration & Neurocritical Care Journey"! Explore EEG data, understand wave patterns, and delve into conditions like LPDs, GPDs, LRDA, and GRDA.

Early Detection of Diabetic Kidney Disease using Contrast Enhanced Ultrasound Perfusion Parameters. Explore perfusion models (Lagged Normal, Log-Normal, Gamma Variate), compare their effectiveness, and analyze their application to diabetic and control cases.

This Python-based Exploratory Data Analysis (EDA) aims to assess the effectiveness of Capomulin, an anti-cancer medication, in comparison to other treatment regimens. The initial phase involves an inter-drug comparison, followed by a detailed analysis of Capomulin, which includes the application of linear regression.

Welcome to my GitHub Projects Portfolio! This repository showcases my work across various domains, encompassing research, data visualization, analytics, and statistical modeling. Explore the projects listed below to glimpse my expertise and interests.

DICOM database management for medical ML project based on web.

Extract Medical Expenditure Panel Survey's Household Consolidated Data Files using Stata

GPT2-774M model, fine-tuned on all public information and papers (up to 2021) related to Chronic Fatigue Syndrome/Myalgic Encephalomyelitis