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S12. A MACHINE LEARNING FRAMEWORK FOR ROBUST AND RELIABLE PREDICTION OF SHORT- AND LONG-TERM CLINICAL RESPONSE IN INITIALLY ANTIPSYCHOTIC-NAïVE SCHIZOPHRENIA PATIENTS BASED ON MULTIMODAL NEUROPSYCHIATRIC DATA
Authors :
Ambrosen, KS Skjerbæk, MW Foldager, J Axelsen, MC Bak, N Arvastson, L Christensen, SR Johansen, LB Raghava, JM Oranje, B Rostrup, E Nielsen, MØ Osler, M Fagerlund, B Pantelis, C Kinon, BJ Glenthøj, BY Hansen, LK Ebdrup, BH Ambrosen, KS Skjerbæk, MW Foldager, J Axelsen, MC Bak, N Arvastson, L Christensen, SR Johansen, LB Raghava, JM Oranje, B Rostrup, E Nielsen, MØ Osler, M Fagerlund, B Pantelis, C Kinon, BJ Glenthøj, BY Hansen, LK Ebdrup, BH
Publication Year :
2020
Details
Database :
OAIster
Publication Type :
Electronic Resource
Accession number :
edsoai.on1315712485
Document Type :
Electronic Resource