Editors: Shashank Awasthi, Mahaveer Singh Naruka, Satya Prakash Yadav, Victor Hugo C. de Albuquerque

AI and IoT-based Intelligent Health Care & Sanitation

eBook: US $69 Special Offer (PDF + Printed Copy): US $105
Printed Copy: US $71
Library License: US $276
ISBN: 978-981-5136-54-8 (Print)
ISBN: 978-981-5136-53-1 (Online)
Year of Publication: 2023
DOI: 10.2174/97898151365311230101
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The book aims to provide a deeper understanding of the synergistic impact of Artificial intelligence (AI) and the Internet of Things (IoT) for disease detection. It presents a collection of topics designed to explain methods to detect different diseases in humans and plants. Chapters are edited by experts in IT and machine learning, and are structured to make the volume accessible to a wide range of readers.

Key Features:

- 17 Chapters present information about the applications of AI and IoT in clinical medicine and plant biology

- Provides examples of algorithms for heart diseases, Alzheimer’s disease, cancer, pneumonia and more

- Includes techniques to detect plant disease

- Includes information about the application of machine learning in specific imaging modalities

- Highlights the use of a variety of advanced Deep learning techniques like Mask R-CNN

- Each chapter provides an introduction and literature review and the relevant protocols to follow

The book is an informative guide for data and computer scientists working to improve disease detection techniques in medical and life sciences research. It also serves as a reference for engineers working in the healthcare delivery sector.


- Pp. i-ii (2)
Shashank Awasthi, Mahaveer Singh Naruka, Satya Prakash Yadav, Victor Hugo C. de Albuquerque
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List of Contributors

- Pp. iii-vii (5)

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IoT Based Website for Identification of Acute Lymphoblastic Leukemia using DL

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R. Ambika*, S. Thejaswini, N. Ramesh Babu, Tariq Hussain Sheikh, Nagaraj Bhat, Zafaryab Rasool
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AI and IoT-based Intelligent Management of Heart Rate Monitoring Systems

- Pp. 16-32 (17)
Vedanarayanan Venugopal*, Sujata V. Mallapur, T.N.R. Kumar, V. Shanmugasundaram, M. Lakshminarayana, Ajit Kumar
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Deep Learning Applications for IoT in Healthcare Using Effects of Mobile Computing

- Pp. 33-49 (17)
Koteswara Rao Vaddempudi*, K.R. Shobha, Ahmed Mateen Buttar, Sonu Kumar, C.R. Aditya, Ajit Kumar
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Innovative IoT-Based Wearable Sensors for the Prediction & Analysis of Diseases in the Healthcare Sector

- Pp. 50-64 (15)
Koteswara Rao Vaddempudi, Abdul Rahman H Ali, Abdullah Al-Shenqiti, Christopher Francis Britto, N. Krishnamoorthy, Aman Abidi*
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Construction and Evaluation of Deep Neural Network-based Predictive Controller for Drug Preparation

- Pp. 65-82 (18)
K. Sheela Sobana Rani, Dattathreya, Shubhi Jain, Nayani Sateesh, M. Lakshminarayana, Dimitrios Alexios Karras*
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Machine Learning based Predictive Analysis and Algorithm for Analysis Severity of Breast Cancer

- Pp. 83-97 (15)
B. Radha*, Chandra Sekhar Kolli, K R Prasanna Kumar, Perumalraja Rengaraju, S. Kamalesh, Ahmed Mateen Buttar
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Glaucoma Detection Using Retinal Fundus Image by Employing Deep Learning Algorithm

- Pp. 98-113 (16)
K.T. Ilayarajaa*, M. Sugadev, Shantala Devi Patil, V. Vani, H. Roopa, Sachin Kumar*
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Texture Analysis-based Features Extraction & Classification of Lung Cancer Using Machine Learning

- Pp. 114-128 (15)
Korla Swaroopa*, N. Chaitanya Kumar, Christopher Francis Britto, M. Malathi, Karthika Ganesan, Sachin Kumar
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Implementation of the Deep Learning-based Website For Pneumonia Detection & Classification

- Pp. 129-143 (15)
V. Vedanarayanan, Nagaraj G. Cholli, Merin Meleet, Bharat Maurya, G. Appasami, Madhu Khurana*
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Design and Development of Deep Learning Model For Predicting Skin Cancer and Deployed Using a Mobile App

- Pp. 144-158 (15)
Shweta M Madiwal*, M. Sudhakar, Muthukumar Subramanian, B. Venkata Srinivasulu, S. Nagaprasad, Madhu Khurana
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Feature Extraction and Diagnosis of Dementia using Magnetic Resonance Imaging

- Pp. 159-175 (17)
Praveen Gupta*, Nagendra Kumar, Ajad, N. Arulkumar, Muthukumar Subramanian
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Deep Learning-Based Regulation of Healthcare Efficiency and Medical Services

- Pp. 176-190 (15)
T. Vamshi Mohana*, Mrunalini U. Buradkar, Kamal Alaskar, Tariq Hussain Sheikh, Makhan Kumbhkar
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An Efficient Design and Comparison of Machine Learning Model for Diagnosis of Cardiovascular Disease

- Pp. 191-206 (16)
Dillip Narayan Sahu*, G. Sudhakar, Chandrakala G Raju, Hemlata Joshi, Makhan Kumbhkar
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Deep Learning Based Object Detection Using Mask R-CNN

- Pp. 207-221 (15)
Vinit Gupta*, Aditya Mandloi, Santosh Pawar, T.V Aravinda, K.R Krishnareddy
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Design and Comparison Of Deep Learning Architecture For Image-based Detection of Plant Diseases

- Pp. 222-239 (18)
Makarand Upadhyaya*, Naveen Nagendrappa Malvade, Arvind Kumar Shukla, Ranjan Walia, K Nirmala Devi
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Discernment of Paddy Crop Disease by Employing CNN and Transfer Learning Methods of Deep Learning

- Pp. 240-254 (15)
Arvind Kumar Shukla*, Naveen Nagendrappa Malvade, Girish Saunshi, P. Rajasekar, S.V. Vijaya Karthik
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Deploying Deep Learning Model on the Google Cloud Platform For Disease Prediction

- Pp. 255-268 (14)
C.R. Aditya*, Chandra Sekhar Kolli, Korla Swaroopa, S. Hemavathi, Santosh Karajgi
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Classification and Diagnosis of Alzheimer’s Disease using Magnetic Resonance Imaging

- Pp. 269-284 (16)
K.R. Shobha*, Vaishali Gajendra Shende, Anuradha Patil, Jagadeesh Kumar Ega, Kaushalendra Kumar
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Subject Index

- Pp. 285-290 (6)
Shashank Awasthi, Mahaveer Singh Naruka, Satya Prakash Yadav, Victor Hugo C. de Albuquerque
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