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  USING MACHINE LEARNING TO BUILD INDIVIDUALIZED PREDICTION MODELS OF FUTURE QUALITY OF LIFE IN PSYCHOSIS PATIENTS

Kalman, J., Budde, M., Dwyer, D., Papiol, S., Anderson-Schmidt, H., Gade, K., et al. (2017). USING MACHINE LEARNING TO BUILD INDIVIDUALIZED PREDICTION MODELS OF FUTURE QUALITY OF LIFE IN PSYCHOSIS PATIENTS. EUROPEAN NEUROPSYCHOPHARMACOLOGY, 27: T51, S464-S464.

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Genre: Conference Paper

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 Creators:
Kalman, Janos1, Author
Budde, Monika1, Author
Dwyer, Dominic1, Author
Papiol, Sergi1, Author
Anderson-Schmidt, Heike1, Author
Gade, Katrin1, Author
Heilbronner, Urs1, Author
Andlauer, Till F. M.2, Author           
Reininghaus, Eva1, Author
Falkai, Peter1, Author
Schulze, Thomas1, Author
Koutsouleris, Nikolaos1, Author
Affiliations:
1external, ou_persistent22              
2Dept. Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Max Planck Society, ou_2035295              

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Free keywords: Neurosciences & Neurology; Pharmacology & Pharmacy; Psychiatry;
 Abstract: -

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Language(s): eng - English
 Dates: 2017
 Publication Status: Issued
 Pages: 1
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Degree: -

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Title: 24th World Congress of Psychiatric Genetics (WCPG)
Place of Event: Jerusalem, ISRAEL
Start-/End Date: 2016-10-30 - 2016-11-04

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Title: EUROPEAN NEUROPSYCHOPHARMACOLOGY
Source Genre: Journal
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Publ. Info: ELSEVIER SCIENCE BV
Pages: - Volume / Issue: 27 Sequence Number: T51 Start / End Page: S464 - S464 Identifier: ISSN: 0924-977X