Digital Mental Health : A Practitioner's Guide / / edited by Ives Cavalcante Passos, Francisco Diego Rabelo-da-Ponte, Flavio Kapczinski |
Edizione | [1st ed. 2023.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 |
Descrizione fisica | 1 online resource (263 pages) |
Disciplina |
780
616.891 |
Soggetto topico |
Psychiatry
Medicine Mental health Clinical Medicine Mental Health Salut mental Tecnologia mèdica |
Soggetto genere / forma | Llibres electrònics |
ISBN | 3-031-10698-9 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | 1. 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. |
Record Nr. | UNINA-9910637703903321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 | ||
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Lo trovi qui: Univ. Federico II | ||
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Personalized Psychiatry : Big Data Analytics in Mental Health / / edited by Ives Cavalcante Passos, Benson Mwangi, Flávio Kapczinski |
Edizione | [1st ed. 2019.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
Descrizione fisica | 1 online resource (XV, 180 p. 24 illus., 21 illus. in color.) |
Disciplina |
616.89
616.8900285 |
Soggetto topico |
Psychiatry
Big data Big Data/Analytics Big Data |
ISBN | 3-030-03553-0 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | 1. Big data and Machine Learning Techniques Meet Health Sciences -- 2. Major challenges and limitations of Big data analytics -- 3. A Clinical Perspective on Big Data in Mental Health -- 4. Big Data Guided Interventions: Predicting Treatment Response -- 5. The role of big data analytics in predicting suicide -- 6. Emerging Shifts in Neuroimaging Data Analysis in the Era of “Big Data" -- 7. Phenomapping: methods and measures for deconstructing diagnosis in psychiatry -- 8. How to integrate data from multiple biological layers in mental health? -- 9. Ethics in the Era of Big Data. |
Record Nr. | UNINA-9910337509703321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
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Lo trovi qui: Univ. Federico II | ||
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