Personalized Psychiatry Big Data Analytics in Mental Health /

This book integrates the concepts of big data analytics into mental health practice and research. Mental disorders represent a public health challenge of staggering proportions. According to the most recent Global Burden of Disease study, psychiatric disorders constitute the leading cause of years l...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Passos, Ives Cavalcante (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Mwangi, Benson (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Kapczinski, Flávio (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2019.
Έκδοση:1st ed. 2019.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • 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.