Predictive Analytics of Psychological Disorders in Healthcare -

Predictive Analytics of Psychological Disorders in Healthcare (eBook)

Data Analytics on Psychological Disorders
eBook Download: PDF
2022 | 1. Auflage
XVI, 303 Seiten
Springer Nature Singapore (Verlag)
978-981-19-1724-0 (ISBN)
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139,09 inkl. MwSt
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This book discusses an interdisciplinary field which combines two major domains: healthcare and data analytics. It presents research studies by experts helping to fight discontent, distress, anxiety and unrealized potential by using mathematical models, machine learning, artificial intelligence, etc. and take preventive measures beforehand. Psychological disorders and biological abnormalities are significantly related with the applications of cognitive illnesses which has increased significantly in contemporary years and needs rapid investigation. The research content of this book is helpful for psychological undergraduates, health workers and their trainees, therapists, medical psychologists, and nurses.



Dr Mamta Mittal is working as Head and Associate Professor (Data Analytics and Data Science) in Delhi Skill & Entrepreneurship University (under Government of NCT Delhi), New Delhi. She received PhD in Computer Science and Engineering from Thapar University, Patiala; MTech (Honors) in Computer Science & Engineering from YMCA, Faridabad and B. Tech in Computer Science & Engineering from Kurukshetra University Kurukshetra in 2001. She has been teaching for the last 19 years with an emphasis on Data Mining, Machine Learning, DBMS and Data Structure. Dr Mittal is a Lifetime member of CSI and published and communicated more than 90 research papers in SCI, SCIE, Scopus indexed Journals. She holds five patents and two copyrights in the area of Artificial Intelligence, IoT and Deep Learning. Dr Mittal has edited/authored many books with reputed publishers like Springer, IOS Press, Elsevier and CRC Press and is working on DST approved Project 'Development of IoT based hybrid navigation module for mid-sized autonomous vehicles' with a research grant of 25 Lakhs. Currently, she is guiding PhD scholars in Machine Learning, Computer Vision and Deep Learning areas. She is book Series editor of Health Informatics & Healthcare: using AI & Smart Computing & another Series Edge AI in future Computing with CRC Press, Taylor & Francis, USA.  Dr Mittal is an Editorial Board member with Inder-Science, Elsevier and  Associate Editor with Springer. She has Chaired a number of Conferences and delivered number of invite talks.

Dr. Lalit Mohan Goyal has completed Ph.D. from Jamia Millia Islamia, New Delhi, in Computer Engineering, M.Tech (Honors) in Information Technology from Guru Gobind Singh Indraprastha University, New Delhi, and B.Tech (Honors) in Computer Engineering from Kurukshetra University, Kurukshetra. He has 18 years of teaching experience in the area of theory of computation, parallel and random algorithms, distributed data mining and cloud computing. He has completed a project sponsored by Indian Council of Medical Research, Delhi. He has published many research papers in SCI indexed and Scopus indexed journals and conferences. Two patents filed by him are also now published online. He is reviewer of many reputed journals and conferences. He has given many invited talks in FDP and conferences. Presently, he is working at J. C. Bose University of Science and Technology, YMCA Faridabad in the Department of Computer Engineering.



This book discusses an interdisciplinary field which combines two major domains: healthcare and data analytics. It presents research studies by experts helping to fight discontent, distress, anxiety and unrealized potential by using mathematical models, machine learning, artificial intelligence, etc. and take preventive measures beforehand. Psychological disorders and biological abnormalities are significantly related with the applications of cognitive illnesses which has increased significantly in contemporary years and needs rapid investigation. The research content of this book is helpful for psychological undergraduates, health workers and their trainees, therapists, medical psychologists, and nurses.
Erscheint lt. Verlag 20.5.2022
Reihe/Serie Lecture Notes on Data Engineering and Communications Technologies
Zusatzinfo XVI, 303 p. 122 illus., 102 illus. in color.
Sprache englisch
Themenwelt Geisteswissenschaften Psychologie Allgemeine Psychologie
Geisteswissenschaften Psychologie Verhaltenstherapie
Mathematik / Informatik Informatik Datenbanken
Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Mathematik / Informatik Mathematik Statistik
Medizin / Pharmazie
Technik Medizintechnik
Schlagworte Data Analysis • Deep learning • Healthcare • machine learning • Mathematical Models • Predictive Modelling • Psychological Disorder
ISBN-10 981-19-1724-8 / 9811917248
ISBN-13 978-981-19-1724-0 / 9789811917240
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