A smart Healthcare System | Reducing False Predictions of Chronic Diseases Using IoT and Machine Learning

Shubhangi Rathkanthiwar (u. a.)

ISBN 10: 6206766187 / ISBN 13: 9786206766186

Published by LAP LAMBERT Academic Publishing, 2025

About this Item

A smart Healthcare System | Reducing False Predictions of Chronic Diseases Using IoT and Machine Learning | Shubhangi Rathkanthiwar (u. a.) | Taschenbuch | Englisch | 2025 | LAP LAMBERT Academic Publishing | EAN 9786206766186 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.

Seller Inventory # 133733380

Bibliographic Details

• Title: A smart Healthcare System | Reducing False Predictions of Chronic Diseases Using IoT and Machine Learning
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2025
• Language: English
• ISBN 10: 6206766187
• ISBN 13: 9786206766186
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 8D millimeters 220 millimeters width by 150 millimeters height by 8 millimeters depth
• Weight: 197 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

The book "Smart Healthcare Systems: Reducing False Predictions of Chronic Diseases Using IoT and Machine Learning" presents an innovative, cost-effective IoT-based Ambulatory Blood Pressure Monitoring (IABPM) system aimed at real-time tracking and early detection of Chronic Heart Disease (CHD). It leverages wearable sensors and cloud integration to record blood pressure and pulse data throughout the day, enhancing patient mobility and care. The system applies ML algorithms like Naïve Bayes, KNN, Decision Tree, SVM, and XGBoost to clinical datasets (SMHRCE and Kaggle) to predict Early Warning Scores (EWS). The proposed model shows high accuracy (up to 99.85%) and helps reduce healthcare costs, support proactive intervention, and improve diagnostic precision. The project bridges gaps in traditional ABPM systems by offering continuous monitoring, automated alerts, and cloud accessibility—paving the way for improved chronic disease management through technology integration.