eBook, ePUB

Artificial Intelligence, Machine Learning, and Mental Health in Pandemics (eBook, ePUB)

A Computational Approach

Redaktion: Jain, Shikha; Seng, Kah Phooi; Jain, Princi; Pandey, Kavita

Beschreibung

Artificial Intelligence, Machine Learning, and Mental Health in Pandemics: A Computational Approach provides a comprehensive guide for public health authorities, researchers and health professionals in psychological health. The book takes a unique approach by exploring how Artificial Intelligence (AI) and Machine Learning (ML) based solutions can assist with monitoring, detection and intervention for mental health at an early stage. Chapters include computational approaches, computational models, machine learning based anxiety and depression detection and artificial intelligence detection of mental health. With the increase in number of natural disasters and the ongoing pandemic, people are experiencing uncertainty, leading to fear, anxiety and depression, hence this is a timely resource on the latest updates in the field. - Examines the datasets and algorithms that can be used to detect mental disorders - Covers machine learning solutions that can help determine the precautionary measures of psychological health problems - Highlights innovative AI solutions and bi-statistics computation that can strengthen day-to-day medical procedures and decision-making

Technische Details

• Geräte: eReader
• ohne Kopierschutz

Barrierefreiheit

• Text-to-Speech
• E-Mail des Verlags für Barrierefreiheitsfragen: [e-mail]
• E-Mail eines vertrauenswürdigen Mittlers für Barrierefreiheitsfragen: [e-mail]
• Seitennummerierung folgt dem gedruckten Werk
• Mathematische Inhalte in MathML für assistive Technologien
• Text und Medien in logischer Lesereihenfolge angeordnet
• Navigierbarer Index mit direktem Zugriff auf Indexbegriffe
• Navigierbares Inhaltsverzeichnis für direkten Zugriff auf Text und Medien
• Keine Einschränkung der Vorlesefunktionen, außer bei spezifischen Ausnahmen

Autor

Shikha Jain is presently working with Jaypee Institute of Information Technology (JIIT), NOIDA, INDIA as Assistant Professor. She has more than seventeen years of research and academic experience. She has received her PhD in computer science from Jaypee Institute of Information Technology, Noida, India. She has published a number of research papers in the renowned journals and conferences. She was advisory board member of a book entitled "Nature-Inspired Algorithms for Big Data Frameworks?, IGI Global. She was a guest editor of a special issue "Advances in Computational Intelligence and its applications? in International Journal of Information Retrieval Research (Publishing phase). She is active reviewer of many International Journals and technical program committee member of various International Conferences. Her research area includes Affective Computing, Emotion Modelling, Cognitive Affective Architectures, Machine Learning and Soft Computing. She is a senior member of IEEE.Dr. Princi Jain is an Associate Professor at Atal Bihari Vajpayee Institute of Medical Sciences (ABVIMS), Lohia Hospital, Delhi, India. She has obtained MD (Internal Medicine) from Vardhman Mahavir Medical College & Safdarjang Hospital, Delhi. She has more than eight years of academic and research experience. She is an active member of Association of Physicians of India and American College of Physicians. She has published a number of research papers in renowned journals and conferences

Produktdetails

• Verlag: Elsevier Science & Techn.
• Seitenzahl: 418
• Erscheinungstermin: 22. April 2022
• Englisch
• ISBN-13: 9780323915557
• Artikelnr.: 63894239