Corrigendum to: Prediction of Early Symptom Remission in Two Independent Samples of First-Episode Psychosis Patients Using Machine Learning. (12th October 2021)
- Record Type:
- Journal Article
- Title:
- Corrigendum to: Prediction of Early Symptom Remission in Two Independent Samples of First-Episode Psychosis Patients Using Machine Learning. (12th October 2021)
- Main Title:
- Corrigendum to: Prediction of Early Symptom Remission in Two Independent Samples of First-Episode Psychosis Patients Using Machine Learning
- Authors:
- Soldatos, Rigas F
Cearns, Micah
Nielsen, Mette Ø
Kollias, Costas
Xenaki, Lida-Alkisti
Stefanatou, Pentagiotissa
Ralli, Irene
Dimitrakopoulos, Stefanos
Hatzimanolis, Alex
Kosteletos, Ioannis
Vlachos, Ilias I
Selakovic, Mirjana
Foteli, Stefania
Nianiakas, Nikolaos
Mantonakis, Leonidas
Triantafyllou, Theoni F
Ntigridaki, Aggeliki
Ermiliou, Vanessa
Voulgaraki, Marina
Psarra, Evaggelia
Sørensen, Mikkel E
Bojesen, Kirsten B
Tangmose, Karen
Sigvard, Anne M
Ambrosen, Karen S
Meritt, Toni
Syeda, Warda
Glenthøj, Birte Y
Koutsouleris, Nikolaos
Pantelis, Christos
Ebdrup, Bjørn H
Stefanis, Nikos
… (more) - Abstract:
- Is Part Of:
- Schizophrenia bulletin. Volume 48:Number 1(2022)
- Journal:
- Schizophrenia bulletin
- Issue:
- Volume 48:Number 1(2022)
- Issue Display:
- Volume 48, Issue 1 (2022)
- Year:
- 2022
- Volume:
- 48
- Issue:
- 1
- Issue Sort Value:
- 2022-0048-0001-0000
- Page Start:
- 283
- Page End:
- 283
- Publication Date:
- 2021-10-12
- Subjects:
- Schizophrenia -- Periodicals
Schizophrenia -- Research -- Periodicals
616.898005 - Journal URLs:
- http://schizophreniabulletin.oxfordjournals.org ↗
http://schizophreniabulletin.oxfordjournals.org/archive ↗
http://ukcatalogue.oup.com/ ↗ - DOI:
- 10.1093/schbul/sbab128 ↗
- Languages:
- English
- ISSNs:
- 0586-7614
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 8089.400000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 20630.xml