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Více informací o knize Artificial Intelligence, Machine Learning, and Mental Health in Pandemics

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Anotace knihy

With the increase in number of natural disasters and the ongoing pandemic, people are experiencing uncertainty, leading to fear, anxiety and depression. 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. This 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 model, machine Learning based anxiety and depression detection and Artificial intelligence detection of mental health. 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

Parametry knihy

Zařazení knihy Knihy v angličtině Reference, information & interdisciplinary subjects Interdisciplinary studies Cognitive science

• Plný název: Artificial Intelligence, Machine Learning, and Mental Health in Pandemics
• Podnázev: A Computational Approach
• Autor: Shikha Jain, Kavita Pandey, Princi Jain, Kah Seng
• Jazyk: Angličtina
• Vazba: Brožovaná
• Počet stran: 325
• EAN: 9780323911962
• ID: 37219835
• Nakladatelství: Elsevier Books
• Hmotnost: 557 g
• Rozměry: 229 × 152 mm
• Datum vydání: 01. May 2022

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