A Novel Machine Learning Optimization for Early Alzheimer's Disease Detection
Alzheimer’s and dementia are progressive neurological disorders that severely affect memory, thinking ability, behavior, and the capacity to perform everyday activities. Patients suffering from these conditions often struggle with recognizing familiar people, remembering important tasks such as medication intake, and managing routine activities independently. This creates a high level of dependency on caregivers, leading to emotional, physical, and mental stress for both patients and their families.The proposed system aims to provide an intelligent assistive solution to support individuals affected by Alzheimer’s and dementia in their daily lives. It focuses on improving patient safety, enhancing independence, and reducing caregiver burden through automated assistance and monitoring. The system is designed to help in recognizing known individuals, managing daily reminders, tracking emotional states, and suggesting suitable activities based on user needs.
Authors
- Shubham Dilip Rane
- Dr. Pratiksha Chafle
Institutions
- Sant Gadge Baba Amravati University (IN)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-04-28
- DOI
- https://doi.org/10.5281/zenodo.19861478
- Primary Topic
- Dementia and Cognitive Impairment Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00