In the ever-evolving landscape of maternal healthcare, expectant mothers face a myriad of challenges, from pregnancy complications to postpartum care. Traditional approaches often fail to provide timely and personalized interventions, leading to suboptimal outcomes for both mother and child. The lack of practical tools and strategies to address these complexities underscores the pressing need for innovative solutions that can revolutionize maternal care.

Modernizing Maternal Care With Digital Technologies leads the way, offering a comprehensive solution that harnesses the power of modern technology and soft computing techniques to foster environments that improve maternal patient outcomes. This pioneering book delves into the transformative role of artificial intelligence (AI), data analytics, and wearable devices in reshaping maternal care. The book presents a paradigm shift in how expectant mothers can be supported throughout their pregnancy journey by highlighting the significance of predictive modeling and real-time monitoring.

Through a meticulous exploration of AI-powered fetal monitoring, mental health support, and remote prenatal care, the book educates and empowers healthcare professionals, researchers, and pregnant patients. By bridging the gap between medical expertise and technological innovation, Modernizing Maternal Care With Digital Technologies equips readers with the knowledge needed to navigate the complexities of modern maternal healthcare. With its practical insights, ethical considerations, and future-oriented approach, this book paves the way for a new era in maternal care, promising healthier pregnancies, safer deliveries, and improved postpartum experiences worldwide.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

AI-Powered Fetal Monitoring
Birth Defects Detection
Ethical Considerations
Gestational Diabetes Management
Hypertensive Disorders
Maternal Mental Health
Neonatal Care Enhancement
Postpartum Health Tracking
Predictive Modeling
Preterm Birth Prevention
Privacy in Maternal Tech
Remote Prenatal Care
Risk Prediction
Soft Computing Solutions
Telemedicine in Maternal Care

Table of Contents

Search this Book:

Reset

Editor/Author Biographies

Dr. Dattatray is Assistant Professor, Department of Computer Engineering at Vishwakarma Institute of Information Technology, Pune, India. Dr. Dattatray G. Takale obtained his Ph.D. in computer science and engineering. He has 10 + years of teaching and research experience. His research interests include Machine Learning, Data science, Wireless sensor Network, Natural lang. processing, data warehousing, mining, computer networks, and network security. He is currently employed by VIIT Pune, as an Assistant Professor. His has more than 6 years of teaching experience and 3 years industry experience. He has 21 patents, 20+ research publications, and authored/edited 4+ books with Springer, CRC Press, local and international publisher.

Dr Parikshit is a senior member IEEE and is Professor, Head of Department of Artificial Intelligence and Data Science at Vishwakarma Institute of Information Technology, Pune, India. He completed his Ph. D from Aalborg University, Denmark and continued as Post Doc Researcher at CMI, Copenhagen, Denmark. He has 23 + years of teaching and research experience. He is a member of the Board of Studies in Computer Engineering, Ex-Chairman Information Technology, Savitribai Phule Pune University and various Universities and autonomous colleges across India. He has 12 patents, 200+ research publications (Google Scholar citations-2500 plus, H index-23 and Scopus Citations are 1300 plus with H index -16, Web of Science H index - 10) and authored/edited 50+ books with Springer, CRC Press, Cambridge University Press, etc. He is editor in chief for IGI Global –International Journal of Rough Sets and Data Analysis, Inter-science International Journal of Grid and Utility Computing, member-Editorial Review Board for IGI Global – International Journal of Ambient Computing and Intelligence and reviewer for various journals and conferences of the repute. His research interests are Machine Learning, Data Science, Algorithms, Internet of Things, Identity Management and Security. He is guiding 8 PhD students in the area of IoT and machine learning and recently, FIVE students have successfully defended their PhD under his supervision. He is also the recipient of “Best Faculty Award” by Sinhgad Institutes and Cognizant Technologies Solutions. He has delivered 200 plus lectures at national and international level.

Dr. Meera Narvekar is currently the Head of Department of Computer Engineering at D.J. Sanghvi College of Engineering, Mumbai (Autonomous college affiliated to University of Mumbai). She was nominated as a Senate member of the University of Mumbai in 2008. She is serving currently asMember of Board of studies (Information Technology ) and Computer Engineering in the past at Mumbai University . She has a total experience of 23 years in teaching. Dr. Meera has obtained her Ph.D in Computer Science and Technology from SNDT University, Mumbai in the area of Mobile Computing. Her thesis work was on Optimization of data delivery in Mobile Networks. She has published around 50 papers in various international and national journals and conferences. She is currently guiding projects with applications in agriculture, which has also received grant from University of Mumbai. She has delivered talks in various conferences and workshops. She is also in reviewer list and has been session chair of many conferences.

Dr. Rupali A. Mahajan currently serves as the Associate Professor and Head of the Data Science Department, along with holding the position of Associate Dean (Research and Development) at Vishwakarma Institute of Information Technology, Pune. With a Ph.D. in Computer Science and Engineering, she boasts a robust academic background and a wealth of experience in the field.
Her expertise is exemplified by her extensive research portfolio, which includes an impressive total of 18 patents across diverse domains. Dr. Mahajan's research interests encompass a wide spectrum, ranging from Machine Learning and Artificial Intelligence to Deep Learning. She has also authored 7 books and published over 40 research papers, contributing significantly to areas such as software engineering, artificial intelligence, and data science.
Beyond academia, Dr. Mahajan has been actively engaged in consultancy projects with the Government of Maharashtra. She also serves as an editor and reviewer for various esteemed academic publishers. With over 17 years of professional experience, she is known for her positive attitude, collaborative approach, unwavering commitment, and profound confidence in her work.

Archiving

All of IGI Global's content is archived via the CLOCKSS and LOCKSS initiative. Additionally, all IGI Global published content is available in IGI Global's InfoSci^® platform.