Handbook of Ai Based Models in Healthcare and Medicine 1st Edition by Bhanu Chander, Koppala Guravaiah, Anoop B, Kumaravelan ISBN 978-1032419152 1032419156
Original price was: $50.00.$35.00Current price is: $35.00.
Handbook of Ai Based Models in Healthcare and Medicine 1st Edition by Bhanu Chander, Koppala Guravaiah, Anoop B, G. Kumaravelan – Ebook PDF Instant Download/Delivery: 978-1032419152, 1032419156
Full download Handbook of Ai Based Models in Healthcare and Medicine 1st Edition after payment
Product details:
ISBN 10: 1032419156
ISBN 13: 978-1032419152
Author: Bhanu Chander, Koppala Guravaiah, Anoop B, G. Kumaravelan
This handbook provides thorough, in-depth, and well-focused developments of artificial intelligence (AI), machine learning (ML), deep learning (DL), natural language processing (NLP), cryptography, and blockchain approaches, along with their applications focused on healthcare systems.
Handbook of AI-Based Models in Healthcare and Medicine: Approaches, Theories, and Applications highlights different approaches, theories, and applications of intelligent systems from a practical as well as a theoretical view of the healthcare domain. It uses a medically oriented approach in its discussions of human biology, healthcare, and medicine and presents NLP-based medical reports and medicine enhancements. The handbook includes advanced models of ML and DL for the management of healthcare systems and also discusses blockchain-based healthcare management. In addition, the handbook offers use cases where AI, ML, and DL can help solve healthcare complications.
Undergraduate and postgraduate students, academicians, researchers, and industry professionals who have an interest in understanding the applications of ML/DL in the healthcare setting will want this reference on their bookshelf.
Table of contents:
Chapter 1 Edge Computing in Healthcare: Concepts, Tools, Techniques, and Use Cases
Shalini Ramanathan, Anabel Pineda-Briseno, Tauheed Khan Mohd, and Mohan Ramasundaram
Chapter 2 History and Role of AI in Healthcare and Medicine
Dipali Dakhole and K.N. Praveena
Chapter 3 Drug Discovery Using Explainable AI Approaches: The Current Scenario
Chinju John, Akarsh K. Nair, and Jayakrushna Sahoo
Chapter 4 Supervised Learning Models for Diagnosing Severity of Cirrhosis Disease
Akshita Sakshi, J.V. Bibal Benifa, and P. Antony Seba
Chapter 5 3D Volumetric Computed Tomography from 2D X-Rays: A Deep Learning Perspective
Manish Kumar, Suman Kumar Maji, and Hussein Yahia
Chapter 6 GAN-Based Encoder-Decoder Model for Multi-Label Diagnostic Scan Classification and Automated Radiology Report Generation
Rahul Kumar, K. Karthik, and S. Sowmya Kamath
Chapter 7 A Survey of Machine Learning- and Deep Learning-Based Techniques for Diabetic Retinopathy Screening
Nitigya Sambyal, Poonam Saini, and Rupali Syal
Chapter 8 An Embedded Solution for Real-Time Implementation of a Deep Learning Model for Malicious Breast Tumour Detection
S. Malarvizhi, R. Kayalvizhi, H. Heartlin Maria, Revathi Venkatraman, Shatanu Patil, and A. Maria Jossy
Chapter 9 Towards Robust Diagnosis of Alzheimer’s Disease Using Ensemble Framework of Convolutional Neural Network and Vision Transformer
Poonguzhali Elangovan and Malaya Kumar Nath
Chapter 10 RetinalAlexU-Net: Segmentation of the Retinal Vascular Network for the Diagnosis of Diabetic Retinopathy
A. Sathya Vani and D. Sumathi
Chapter 11 Decoding EEG Signals to Generate Images Using GANs
Ritik Naik, Kunal Chaudhari, Ketaki Jadhav, and Amit Joshi
Chapter 12 Mental Health Disorder through Electroencephalogram Analysis using Computational Model
Kiran Waghmare and Meenakshi Malhotra
Chapter 13 Machine Learning Techniques in ECG Data Analysis for Medical Applications
S. Daphin Lilda and R. Jayaparvathy
Chapter 14 Heartcare Assistance System: A Machine Learning-Based Cardiovascular Risk Monitoring Tool (CRMT)
A. Kannammal, E. Chandra Blessie, S. Barath Vignesh, and P. Kanishk
Chapter 15 Parameter Estimation of Real-Time NCS Signal Acquired Using Designed Neurostimulator to Develop Microcontroller-Based Healthcare Support System
Amarprit Singh, Lachit Dutta, Anil Hazarika, Champak Talukdar, and Manabendra Bhuyan
Chapter 16 Critical Analysis of Current Healthcare Applications for Diagnosis of Diseases: Pitfalls and Future
Tumul Vikram Singh, Qazi Amanur Rahman Hashmi, Nitu Dogra, Ankur Saxena, Deepshikha Pande Katare, and Ruchi Jakhmola Mani
Chapter 17 Machine Learning-Based Decision Support System for Optimal Treatment of Acute Inflammation Response with Specific Patient Conditions
Selami Beyhan and Meric Cetin
Chapter 18 Digital Histopathology: Paving Future Directions Towards Predicting Diagnosis of Disease Via Image Analysis
Rishita Singh, Nitu Dogra, Ravina Yadav, Angamba Meetei Potshangbam, Deepshikha Pande Katare, and Ruchi Jakhmola Mani
Chapter 19 Artificial Intelligence Techniques to Design Epitope-Mapped Vaccines and Diagnostics for Emerging Pathogens
Hina Bansal and Navya Aggarwal
Chapter 20 DN-Based DTI Model to Identify Potential Drug Molecules Against COVID-19
Santhosh Amilpur and Chandra Mohan Dasari
Chapter 21 Deep Learning-Based Chatbots for Patient Queries
Priya Vijay, K. Jayashree, R. Babu, and K. Vijay
Chapter 22 Autism, ADHD and Dyslexia Disorder Comorbidity: An Enhanced Study on Education for Children through Artificial Intelligence-Enabled Personalized Assistive Tools
K.N. Praveena, R. Mahalakshmi, C. Manjunath, and Dipali K. Dakhole
People also search for:
handbook of ai based models
handbook of ai based models in healthcare and medicine
type of ai models
handbook of artificial intelligence
handbook of artificial intelligence and big data applications in investments
Tags: Bhanu Chander, Koppala Guravaiah, Anoop B, Kumaravelan, Handbook of Ai Based, Healthcare and Medicine