Data Science Challenges in Computational Psychiatry and Psychiatric Research

Daniel Richard Stahl; Daniel Stamate

doi:10.1109/DSAA.2018.00067

Data Science Challenges in Computational Psychiatry and Psychiatric Research

Daniel Richard Stahl, Daniel Stamate

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

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Abstract

The special session “Data Science in Computational Psychiatry and Psychiatric Research” at the 5th IEEE International Conference on Data Science and Advanced Analytics in Turin, Italy, 2018, presents papers specifically addressing psychiatric research and computational approaches in psychiatry. In this overview, we describe the challenges of psychiatric research and computational psychiatry and demonstrate how the presented papers approach some of the problems of interest.

Original language	English
Title of host publication	Proceedings of the 2018 IEEE International Conference on Data Science and Advanced Analytics
Place of Publication	Turin
Pages	524-525
Number of pages	2
DOIs	https://doi.org/10.1109/DSAA.2018.00067
Publication status	Published - 1 Oct 2018

Keywords

PSYCHIATRY
Machine Learning
Prediction modelling
Data Science

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10.1109/DSAA.2018.00067

Data Science Challenges in_STAHL_Accepted1August2018_GREEN AAM
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Accepted author manuscript, 399 KB

Cite this

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abstract = "The special session “Data Science in Computational Psychiatry and Psychiatric Research” at the 5th IEEE International Conference on Data Science and Advanced Analytics in Turin, Italy, 2018, presents papers specifically addressing psychiatric research and computational approaches in psychiatry. In this overview, we describe the challenges of psychiatric research and computational psychiatry and demonstrate how the presented papers approach some of the problems of interest.",

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KW - Prediction modelling

KW - Data Science

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Data Science Challenges in Computational Psychiatry and Psychiatric Research

Abstract

Keywords

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