Personalized Psychiatry
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Published By Springer International Publishing

9783030035525, 9783030035532
Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Big Data and Machine Learning Meet the Health Sciences

2019 ◽  
pp. 1-13 ◽  
Author(s):  
Ives Cavalcante Passos ◽  
Pedro Ballester ◽  
Jairo Vinícius Pinto ◽  
Benson Mwangi ◽  
Flávio Kapczinski
Keyword(s):  
Machine Learning ◽  
Big Data ◽  
Health Sciences

Emerging Shifts in Neuroimaging Data Analysis in the Era of “Big Data”

2019 ◽  
pp. 99-118 ◽  
Author(s):  
Danilo Bzdok ◽  
Marc-Andre Schulz ◽  
Martin Lindquist
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Neuroimaging Data

The Role of Big Data Analytics in Predicting Suicide

2019 ◽  
pp. 77-98 ◽  
Author(s):  
Ronald C. Kessler ◽  
Samantha L. Bernecker ◽  
Robert M. Bossarte ◽  
Alex R. Luedtke ◽  
John F. McCarthy ◽  
...  
Keyword(s):  
Big Data ◽  
Data Analytics ◽  
Big Data Analytics

Ethics in the Era of Big Data

2019 ◽  
pp. 161-172 ◽  
Author(s):  
Diego Librenza-Garcia
Keyword(s):  
Big Data

How to Integrate Data from Multiple Biological Layers in Mental Health?

2019 ◽  
pp. 135-159 ◽  
Author(s):  
Rogers F. Silva ◽  
Sergey M. Plis
Keyword(s):  
Mental Health ◽  
Integrate Data

Big Data Guided Interventions: Predicting Treatment Response

2019 ◽  
pp. 53-76 ◽  
Author(s):  
Alexander Kautzky ◽  
Rupert Lanzenberger ◽  
Siegfried Kasper
Keyword(s):  
Big Data ◽  
Treatment Response

A Clinical Perspective on Big Data in Mental Health

2019 ◽  
pp. 37-51 ◽  
Author(s):  
John Torous ◽  
Nikan Namiri ◽  
Matcheri Keshavan
Keyword(s):  
Mental Health ◽  
Big Data ◽  
Clinical Perspective

Phenomapping: Methods and Measures for Deconstructing Diagnosis in Psychiatry

2019 ◽  
pp. 119-134 ◽  
Author(s):  
Andre F. Marquand ◽  
Thomas Wolfers ◽  
Richard Dinga
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