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003			ES-MaUEC
005			20240710130545.0
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008			231130s2023 si | fo |||| 0|eng d
020			_a9789819966370
024	7		_a10.1007/978-981-99-6637-0 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aRC455.2. D38 _b2023 EB
245	0	0	_aComputational Methods in Psychiatry _cedited by Gopi Battineni, Mamta Mittal, Nalini Chintalapudi
250			_a1st ed. 2023
264		1	_aSingapore _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 COVID impact on Italian health system: from self determination to solidarity -- 2 Mental health and psychological wellbeing of maritime personnel: Factors affecting Mental Health of Seafarers on Board Merchant Ships -- 3 Intelligent monitoring system based on ATMEGA microcontrollers in healthcare with stress reduce effect -- 4 Predictive Measures to tackle Mental Health During COVID-19 -- 5 Intelligent Digital Monitoring of levels of stress -- 6 Consequences of brain health in digital era -- 7 AI-based Framework for Association between Depression and Physical Health Disorders -- 8 WFH and its impacts on lifestyle of humanoid in the context of covid-19 -- 9 Digital Mental Health Prediction and Enhancement using Deep Feed Forward Neural Network and Psychiatry Tools -- 10 The challenge of self-diagnosis on mental health through social media: A qualitative study -- 11 Relationship between mortality and mental health disorders -- 12 Recent Developments in the Application of Computer-Aided Drug Design to Neurodegenerative Disorders -- 13 Intelligent Stress Cause and its Level Monitoring of Teachers in Private Engineering Colleges -- 14 Student Stress Detection in Online Learning during Outbreak -- 15 A Review on Mental and Physical Health Acceptance of Immunization and Vaccination for COVID-19 Pandemic a Conscience of Humans Perception Using SWOT Analysis -- 16 Application of Smart Intelligent technologies in health care using 4.0 Perspectives.
520			_aThis book presents a particular area of interest in computing psychiatry with the modelling of mood and anxiety disorders. It highlights various methods for building these models. Clinical applications are prevalent due to the growth and interaction of these multiple approaches. Besides, it outlines some original predictive and computational modelling ideas for enhancing psychological treatment interventions. Computational psychiatry combines multiple levels and types of computation with different data types to improve mental illness understanding, prediction, and treatment.
988			_aSpringer_Medicine_2023
650		7	_2embne _9139041 _aPsiquiatría _xProceso de datos
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-99-6637-0 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b07/2024 _dz _ean _zSI