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Book Cover
E-book

Title Deep Learning for Smart Healthcare Trends, Challenges and Applications
Published Milton : Auerbach Publishers, Incorporated, 2024

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Description 1 online resource (309 p.)
Contents Intro -- Half Title -- Title Page -- Copyright Page -- Contents -- Preface -- Contributors -- 1. Deep Learning in Healthcare and Clinical Studies -- 1.1 Introduction to Deep Learning in Clinical Trials -- 1.1.1 The Function of Deep Learning -- 1.1.1.1 Deep Learning at Work: An Example -- 1.1.1.2 Deep Learning's Ascent -- 1.1.2 Active Deep Learning -- 1.1.3 Clinical Trials for Medicines, Not COVID -- 1.2 Deep Learning Frameworks -- 1.2.1 TensorFlow -- 1.2.1.1 Benefits of Utilizing Tensorflow -- 1.2.1.2 Issues with Tensorflow -- 1.2.2 Keras -- 1.2.2.1 Cons of Keras Use -- 1.2.3 MXNet
1.2.3.1 Benefits of Using MXNet -- 1.2.3.2 Cons of Using MXNet -- 1.2.4 Caffe -- 1.2.4.1 Benefits of Using Caffe -- 1.2.4.2 Cons of Using Caffe -- 1.2.5 H2O -- 1.2.5.1 Benefits of Using H2O -- 1.2.5.2 Cons of Using H2O -- 1.2.6 Theano -- 1.2.6.1 Cons of Using Theano -- 1.2.7 Shogun -- 1.2.7.1 Cons of Using Shogun -- 1.3 Deep Learning-Based Electronic Health Records -- 1.4 Role in Preclinical Drug Discovery Using Deep Learning -- 1.4.1 Convolutional Neural Networks -- 1.4.2 Recurrent Neural Networks -- 1.4.3 Long Short-Term Memory Networks -- 1.4.4 Autoencoders
1.5 Data Collection and Management -- 1.5.1 Types of Data -- 1.5.2 Data Collection Methods -- 1.6 Operational Barriers to Deep Learning in Clinical Research -- 1.7 Deep Learning Algorithms Pros, Cons, and Applications -- 1.8 Clinical Trials in Drug Delivery -- 1.9 Deep Learning Applications in Healthcare -- 1.10 Conclusion -- References -- 2. Deep Learning Framework for Classification of Healthcare Data -- 2.1 Introduction -- 2.2 Literature Review for Related Works -- 2.3 Coiflet Wavelet Feature Extraction Based Deep Learning -- 2.3.1 Coiflet Wavelet Transform Based Feature Extraction
2.3.2 Deep Learning -- 2.3.2.1 Enhanced Technique of Machine Learning -- 2.3.3 Dataset -- 2.4 Analysis and Evaluation of Performance Results -- 2.4.1 Comparison Analysis and Results -- 2.4.2 Performance Analysis of Classification Accuracy -- 2.4.3 Performance Analysis for Fall-Out -- 2.4.4 Performance Results Classification Time -- 2.5 Conclusion -- References -- 3. Leveraging Deep Learning in Hate Speech Analysis on Social Platform -- 3.1 Introduction -- 3.2 Related Work -- 3.3 Proposed Methodology -- 3.3.1 Pre-Processing
3.3.2 Improved Principle Component Analysis (IPCA) for Feature Extraction -- 3.3.3 Modified CNN for Classification -- 3.4 Performance Evaluation -- 3.4.1 Precision -- 3.4.2 Recall -- 3.4.3 F1 Score -- 3.4.4 Accuracy -- 3.5 Results and Discussion -- 3.6 Conclusion -- References -- 4. Medical Image Analysis Based on Deep Learning Approach for Early Diagnosis of Diseases -- 4.1 Introduction -- 4.2 Medical Image Analysis -- 4.2.1 Core Areas of Medical Image Analysis -- 4.2.1.1 Image Formation -- 4.2.1.1.1 Data Acquisition -- 4.2.1.1.2 Image Reconstruction -- 4.2.1.2 Image Computing
Summary The book is a baseline reference for researchers and academicians who are investigating the application of deep learning algorithms in the healthcare sector. It focuses on medical imaging and healthcare data analytics
Notes Description based upon print version of record
4.2.1.2.1 Enhancement
Dr. K. Murugeswari is a Senior Assistant Professor in the School of Computing Science and Engineering at VIT Bhopal University, M.P, India. Dr. B. Sundaravadivazhagan is a professor in the Department of Information Technology at the University of Technology and Applied Science-AL Mussanah in Oman. Dr. S. Poonkuntran is a Professor and Dean in the School of Computing Science and Engineering at VIT Bhopal Uniersity, M.P, India. Dr. Thendral Puyalnithi is an Assistant Professor Senior in the Mepco Schlenk Engineering College in the Department of Artificial Intelligence and Data Science, Tamil Nadu, India
Subject Deep learning (Machine learning)
Medical care -- Data processing
COMPUTERS / Artificial Intelligence
Form Electronic book
Author Murugeswari, K
Sundaravadivazhagan, B.
Poonkuntran, S.
Puyalnithi, Thendral
ISBN 9781040021385
1040021387
9781003469605
1003469604
9781040021378
1040021379