A Synergistic Mobile Informatics Framework for Proactive Chronic Disease Prognostication and Therapeutic Optimization:

R. Hari krishna Hindusthan College of Arts and Science, India A. V. Senthil Kumar Hindusthan College of Arts and Science, India https://orcid.org/0000-0002-8587-7017 Revati Ramrao Rautrao Dr. D.Y. Patil B-School, India https://orcid.org/0000-0001-7803-8699 R. V. Suganya Vels Institute of Science, Technology, and Advanced Studies, India Kalpana Sukumar Saveetha Engineering College, India S. Nagakishore Bhavanam Mangalayatan University, Jabalpur, India https://orcid.org/0000-0003-3798-6945 Indrarini Dyah Irawati Telcom University, Indonesia Shallu Sehgal Shoolini Institute of Life Sciences and Business Management, India Neeru Sidana Amity School of Economics, Amity University, Noida, India A Synergistic Mobile Informatics Framework for Proactive Chronic Disease Prognostication and Therapeutic Optimization

Chronic diseases significantly contribute to global morbidity and mortality, highlighting the need for advanced solutions . This project introduces a Synergistic Mobile Informatics Framework, integrating real-time data acquisition, predictive analytics, and personalized treatment recommendations for proactive chronic disease management . Leveraging wearable devices, mobile apps, and cloud-based machine learning, the framework enables continuous health monitoring, early detection of disease exacerbations, and tailored interventions . By analyzing physiological, behavioral, and environmental data in real time, advanced predictive models identify high-risk trends, triggering early alerts for patients and healthcare providers . These alerts reduce complications, hospitalizations, and healthcare costs . This approach fosters collaboration between patients, providers, and technology, empowering individuals to manage their health effectively while transforming chronic disease care through precision, efficiency, and innovation .
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