000			03394nam a22002895i 4500
001			403151
003			ES-MaUEC
005			20240603113729.0
007			cr nn 008mamaa
008			221227s2023 sz | o |||| 0|eng d
020			_a9783031106989
024	7		_a10.1007/978-3-031-10698-9 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aRC434.2-574 _b2023 EB
245	1	0	_aDigital Mental Health : _bA Practitioner's Guide _cedited by Ives Cavalcante Passos, Francisco Diego Rabelo-da-Ponte, Flavio Kapczinski
250			_a1st ed. 2023
264		1	_aCham _bSpringer International Publishing _c2023
300			_a1 recurso en línea
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
505	0		_a1. The Dawn of Digital Psychiatry -- 2. Digital Biomarkers and Passive Digital Indicators of Generalized Anxiety Disorder -- 3. Digital phenotyping in mood disorders -- 4. Mental health assessment via Internet: the psychometrics in the digital era -- 5. Smartphone-based treatment in psychiatry - a systematic review -- 6. Digital therapies for insomnia -- 7. The efficacy of smartphone-based interventions in bipolar disorder -- 8. Chatbots in the field of mental health: challenges and opportunities -- 9. How to evaluate a mobile app and advise your patient about it? -- 10. Telepsychiatry -- 11. Prediction of suicide risk using machine learning and big data -- 12. Electronic Health Records to Detect Psychosis Risk -- 13. The use of artificial intelligence to identify trajectories of severe mental disorders -- 14. The use of machine-learning techniques to solve problems in forensic psychiatry -- 15. Gaming Disorder and Problematic Use of Social Media.
520			_aThis innovative book focuses on potential, limitations, and recommendations for the digital mental health landscape. Authors synthesize existing literature on the validity of digital health technologies, including smartphones apps, sensors, chatbots and telepsychiatry for mental health disorders. They also note that collecting real-time biological information is usually better than just collect filled-in forms, and that will also mitigate problems related to recall bias in clinical appointments. Limitations such as confidentiality, engagement and retention rates are moreover discussed. Presented in fifteen chapters, the work addresses the following questions: may smartphones and sensors provide more accurate information about patients' symptoms between clinical appointments, which in turn avoid recall bias? Is there evidence that digital phenotyping could help in clinical decisions in mental health? Is there scientific evidence to support the use of mobile interventions in mental health? Digital Mental Health will help clinicians and researchers, especially psychiatrics and psychologists, to define measures and to determine how to test apps or usefulness, feasibility and efficacy in order to develop a consensus about reliability. These professionals will be armed with the latest evidence as well as prepared to a new age of mental health.
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-10698-9 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
988			_aSpringer_Psychology_2023
999			_c403151 _d403151