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Machine Learning and Deep Learning in Efficacy Improvement of Healthcare Systems book cover

1st Edition

Machine Learning and Deep Learning in Efficacy Improvement of Healthcare Systems

Edited By Om Prakash Jena, Bharat Bhushan, Nitin Rakesh, Parma Nand Astya, Yousef Farhaoui Copyright 2022
395 Pages 133 B/W Illustrations
by CRC Press

395 Pages 133 B/W Illustrations
by CRC Press

395 Pages 133 B/W Illustrations
by CRC Press
Also available as eBook on:
The goal of medical informatics is to improve life expectancy, disease diagnosis and quality of life. Medical devices have revolutionized healthcare and have led to the modern age of machine learning, deep learning and Internet of Medical Things (IoMT) with their proliferation, mobility and agility. This book exposes different dimensions of applications for computational intelligence and explains... Read more

1. Machine Learning in Healthcare: An Introduction

Shruti Dambhare and Sanjay Kumar

2. A Machine Learning Approach to Identify Personality Traits from Social Media

Arion Mitra, Ankita Biswas, Kanyaka Chakraborty, Ananya Ghosh, Namrata Das, Nikita Ghosh, and Ahona Ghosh

3. Influence of Content Strategies on Community Engagement over the Healthcare-Related Social Media Pages in India

Ajitabh Dash

4. The Impact of Social Media in Fighting Emerging Diseases: A Model-Based Study

Anal Chatterjee and Suchandra Ganguly

5. Prediction of Diabetes Mellitus Using Machine Learning

Salliah Shafi and Gufran Ahmad Ansari

6. Spectrogram Image Textural Descriptors for Lung Sound Classification

Bhakti Kaushal, Mukesh D. Patil, Smitha Raveendran, and Gajanan K. Birajdar

7. Medical Image Analysis Using Machine Learning Techniques: A Systematic Review

Mustafa A. Al-Asadi and Sakir Tasdemir

8. Impact of Ensemble-Based Models on Cancer Classification, Its Development, and Challenges

Barnali Sahu, Sitarashmi Sahu, and Om Prakash Jena

9. Performance Comparison of Different Machine Learning Techniques towards Prevalence of Cardiovascular Diseases (CVDs)

Sachin Kamley

10. Deep Neural Networks in Healthcare Systems

Biswajit R Bhowmik, Shrinidhi Anil Varna, Adarsh Kumar, and Rahul Kumar

11. Deep Learning and Multimodal Artificial Neural Network Architectures for Disease Diagnosis and Clinical Applications

Jeena Thomas and Ebin Deni Raj

12. A Temporal JSON Model to Represent Big Data in IoT-Based e-Health Systems

Zouhaier Brahmia, Safa Brahmia, Rafik Bouaziz, and Fabio Grandi

13. Use of UAVs in the Prevention, Control and Management of Pandemics

G. Bilotta, V. Barrile, E. Bernardo, and A. Fotia

14. Implicit Ontology Changes Driven by Evolution of e-Health IoT Sensor Data in the τOWL Semantic Framework

Zouhaier Brahmia, Abir Zekri, Rafik Bouaziz, and Fabio Grandi

15. Classification of Text Data in Healthcare Systems – A Comparative Study

O. Koksal

16. Predicting Air Quality Index with Machine Learning Models

G. Abirami, Anindya Das, Navneeth Sreenivasan, and R. Girija

Biography

Dr. Om Prakash Jena is an Assistant Professor in the Department of Computer Science, Ravenshaw University, Cuttack, and Odisha.

Dr. Bharat Bhushan is an Assistant Professor of Department of Computer Science and Engineering (CSE) at School of Engineering and Technology, Sharda University, Greater Noida, India.

Dr. Nitin Rakesh is the Head of Computer Science & Engineering Department for B.Tech/M.Tech (CSE/IT), B.Tech CSE-IBM Specializations, B.Tech CSE-I Nurture, BCA/MCA, BSc/MSc-CS at School of Engineering and Technology,at Sharda University, India.

Dr. Parma Nand is a Dean, School of Engineering Technology, Sharda University Greater Noida.

Dr. Yousef Farhaoui is a Professor at Moulay Ismail University, Faculty of Sciences and Techniques, Morocco.

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