Machine Learning and Analytics in Healthcare Systems

Machine Learning and Analytics in Healthcare Systems

Principles and Applications

Balusamy, Balamurugan; Poongodi, T.; Bansal, Himani; Khan KP, Firoz

Taylor & Francis Ltd

07/2021

262

Dura

Inglês

9780367487935

15 a 20 dias

508

Descrição não disponível.
Chapter 1 Data Analytics in Healthcare Systems - Principles, Challenges, and Applications

Chapter 2 Systematic View and Impact of Machine Learning in Healthcare Systems

Chapter 3 Foundation of Machine Learning-Based Data Classification Techniques for Health Care

Chapter 4 Deep Learning for Computer-Aided Medical Diagnosis

Chapter 5 Machine Learning Classifiers in Health Care

Chapter 6 Machine Learning Approaches for Analysis in Healthcare Informatics

Chapter 7 Prediction of Epidemic Disease Outbreaks, Using Machine Learning

Chapter 8 Machine Learning-Based Case Studies for Healthcare Analytics: Electronic Health Records, Smart Health Monitoring, Disease Prediction, Precision Medicine, and Clinical Support Systems

Chapter 9 Applications of Computational Methods and Modeling in Drug Delivery

Chapter 10 Healthcare Data Analytics Using Business Intelligence Tool

Chapter 11 Machine Learning-Based Data Classification Techniques in Healthcare Using Massive Online Analysis Framework

Chapter 12 Prediction of Coronavirus (COVID-19) Disease Health Monitoring with Clinical Support System and its Objectives

Index
Internet of Things;IoT;Predictive Analytics;Cognitive Models;Healthcare Management;Artificial Intelligence;SVM;Ml Algorithm;Ml Technique;Machine Learning Models;Ml;Semi-supervised Learning;CDSS;Ml Classifier;Healthcare Data;EHR;Random Forest;Bayes Algorithm;Epidemic Disease Outbreak;Healthcare Industry;Imbalanced Classification;Healthcare Data Analytics;Pharmacophore Model;CSV File;Multi-class Classification;Weka Tool;Error Estimation Methods;Machine Learning Process;UCI Machine Learn Repository;Precision Medicine;SVM Classifier