LEADER 04313nam 22006495 450 001 9910637703903321 005 20240202205554.0 010 $a3-031-10698-9 024 7 $a10.1007/978-3-031-10698-9 035 $a(MiAaPQ)EBC7165834 035 $a(Au-PeEL)EBL7165834 035 $a(CKB)25913955300041 035 $a(DE-He213)978-3-031-10698-9 035 $a(EXLCZ)9925913955300041 100 $a20221227d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aDigital Mental Health $eA Practitioner's Guide /$fedited by Ives Cavalcante Passos, Francisco Diego Rabelo-da-Ponte, Flavio Kapczinski 205 $a1st ed. 2023. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2023. 215 $a1 online resource (263 pages) 311 08$aPrint version: Passos, Ives Cavalcante Digital Mental Health Cham : Springer International Publishing AG,c2023 9783031106972 320 $aIncludes bibliographical references and index. 327 $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. 330 $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. 606 $aPsychiatry 606 $aMedicine 606 $aMental health 606 $aPsychiatry 606 $aClinical Medicine 606 $aMental Health 606 $aSalut mental$2thub 606 $aTecnologia mèdica$2thub 608 $aLlibres electrònics$2thub 615 0$aPsychiatry. 615 0$aMedicine. 615 0$aMental health. 615 14$aPsychiatry. 615 24$aClinical Medicine. 615 24$aMental Health. 615 7$aSalut mental 615 7$aTecnologia mèdica 676 $a780 676 $a616.891 702 $aPassos$b Ives Cavalcante 702 $aRabelo-da-Ponte$b Francisco Diego 702 $aKapczinski$b Fla?vio 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910637703903321 996 $aDigital Mental Health$93002788 997 $aUNINA