MediServe:An IoT-Enhanced Deep Learning Framework for Personalized Medication Management for Elderly Care  

作　　者：Smita Kapse Ganesh Yenurkar Vincent Omollo Nyangaresi Gunjan Balpande Shravani Kale Manthan Jadhav Sahil Lawankar Vikrant Jaunjale 

机构地区：[1]Department of Computer Technology,Yeshwantrao Chavan College of Engineering,Wanadongari,Nagpur,441110,Maharashtra,India [2]Computer Science&Engineering,Jaramogi Oginga Odinga University of Science&Technology,Bondo,40601,Kenya [3]Department of Applied Electronics,Saveetha School of Engineering,SIMATS,Chennai,602105,Tamilnadu,India

出　　处：《Computers, Materials & Continua》2025年第4期935-976,共42页计算机、材料和连续体(英文)

摘　　要：In today’s fast-paced world,many elderly individuals struggle to adhere to their medication schedules,especially those with memory-related conditions like Alzheimer’s disease,leading to serious health risks,hospital-izations,and increased healthcare costs.Traditional reminder systems often fail due to a lack of personalization and real-time intervention.To address this critical challenge,we introduce MediServe,an advanced IoT-enabled medication management system that seamlessly integrates deep learning techniques to provide a personalized,secure,and adaptive solution.MediServe features a smart medication box equipped with biometric authentication,such as fingerprint recognition,ensuring authorized access to prescribed medication while preventing misuse.A user-friendly mobile application complements the system,offering real-time notifications,adherence tracking,and emergency alerts for caregivers and healthcare providers.The system employs predictive deep learning models,achieving an impressive classification accuracy of 98%,to analyze user behavior,detect anomalies in medication adherence,and optimize scheduling based on an individual’s habits and health conditions.Furthermore,MediServe enhances accessibility by employing natural language processing(NLP)models for voice-activated interactions and text-to-speech capabilities,making it especially beneficial for visually impaired users and those with cognitive impairments.Cloud-based data analytics and wireless connectivity facilitate remote monitoring,ensuring that caregivers receive instant alerts in case of missed doses or medication mismanagement.Additionally,machine learning-based clustering and anomaly detection refine medication reminders by adapting to users’changing health patterns.By combining IoT,deep learning,and advanced security protocols,MediServe delivers a comprehensive,intelligent,and inclusive solution for medication adherence.This innovative approach not only improves the quality of life for elderly individuals but also reduces the burden

关 键 词：MediServe MEDICATION health risks smart medication box 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]