
Predictive Analytics of Psychological Disorders in Healthcare
Data Analytics on Psychological Disorders
Series: Lecture Notes on Data Engineering and Communications Technologies; 128;
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Product details:
- Edition number 1st ed. 2022
- Publisher Springer
- Date of Publication 22 May 2022
- Number of Volumes 1 pieces, Book
- ISBN 9789811917233
- Binding Paperback
- No. of pages303 pages
- Size 235x155 mm
- Weight 492 g
- Language English
- Illustrations 20 Illustrations, black & white; 102 Illustrations, color 422
Categories
Short description:
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.
MoreLong description:
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.
MoreTable of Contents:
Predictive analysis of psychological disorders on health.- AI-Based predictive analytics for Patients' psychological disorder.- Predicting depression through social media.- Measuring Mental Health at Workplaces using Machine Learning Techniques.- Tertiary Students Stress Detection during Online Learning in Jos, Nigeria.- Challenges & Privacy Concerns Related to Use of Information Technology in Mental Healthcare.
More