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...
Συγγραφή απο Οργανισμό/Αρχή: | |
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Άλλοι συγγραφείς: | , , |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Cham :
Springer International Publishing : Imprint: Springer,
2019.
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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.