MUMBAI, India, Aug. 10 -- Intellectual Property India has published a patent application (202641090704 A) filed by Rahul Singh; Dr. Vandana Shakya; Varsha Mashoriya; Dr. Sonali Mondal; Dr. Subha Sreekumar; Dr. Thota Gokaramaiah; and Dr. Nikhil Nigam on July 25, 2026, for Machine Learning-Based Predictive Healthcare Diagnosis System.
Inventors include Rahul Singh; Dr. Vandana Shakya; Varsha Mashoriya; Dr. Sonali Mondal; Dr. Subha Sreekumar; Dr. Thota Gokaramaiah; and Dr. Nikhil Nigam.
The application for the patent was published on July 31, 2026, under issue no. 31/2026.
Abstract: Abstract The present invention relates to a Machine Learning-Based Predictive Healthcare Diagnosis System (100) configured to improve disease prediction through intelligent analysis of heterogeneous healthcare data. The system comprises a data sources module (101), a data acquisition module (102), a data preprocessing module (103), a feature engineering and selection module (104), a predictive analytics engine (105), a model update and continuous learning module (106), a secure data storage module (107), a result interpretation and explainability module (108), a clinical decision support and recommendation module (109), and a user interface and alert module (110). The system integrates electronic health records, laboratory reports, medical imaging, wearable sensor data, genomic information, and demographic data to generate accurate disease predictions using adaptive machine learning algorithms. Continuous model learning, explainable artificial intelligence, and personalized clinical recommendations improve diagnostic accuracy, facilitate early disease detection, support healthcare professionals in evidence-based decision- making, and enhance patient outcomes across hospitals, diagnostic centers, telemedicine platforms, and remote healthcare environments.
Disclaimer: Curated by HT Syndication.
