Healthcare & Medical Informatics
Design Services We Offer
Predictive Analytics for Hospital Readmission Rates
Predicts likelihood of hospital readmission within 30 days. Uses Python, Scikit-learn/XGBoost, Pandas, SHAP
AI-Powered Early Detection of Parkinson’s Disease using Voice and Gait Analysis
Predicts Parkinson’s from voice and gait patterns. Uses Python, Scikit-learn/TensorFlow, Librosa, OpenCV.
Wearable Sensor Data Fusion for Real Time Cardiac Anomaly Detection
Detects heart issues using wearable sensors. Combines Python, TensorFlow/Keras, Arduino, Scikit-learn.
Multimodal Mental Health Assessment using Text, Speech, and Facial Cues
Detects depression/anxiety from text, speech, and facial cues. Uses Python, Hugging Face, Librosa, OpenCV, PyTorch.
Blockchain-Enabled Secure Sharing of Electronic Health Records (EHR)
Secure patient record sharing using blockchain. Built with Ethereum (Solidity), IPFS, Web3.py, and Python.
Digital Twin of Human Lungs for Predicting Respiratory Disease Progression
Simulates lung behavior to predict disease progression.
Implemented with Python, PyTorch, and SciPy simulation models.