TY - JOUR
PY - 2020//
TI - Early-life stressful events and suicide attempt in schizophrenia: machine learning models
JO - Schizophrenia Research
A1 - Tasmim, Samia
A1 - Dada, Oluwagbenga
A1 - Wang, Kevin Z.
A1 - Bani-Fatemi, Ali
A1 - Strauss, John
A1 - Adanty, Christopher
A1 - Graff, Ariel
A1 - Gerretsen, Philip
A1 - Zai, Clement
A1 - Borlido, Carol
A1 - De Luca, Vincenzo
SP - ePub
EP - ePub
VL - ePub
IS - ePub
N2 - Childhood abuse and neglect predicts suicide attempt. Furthermore, other early-life stressful events may predict lifetime suicide attempt in psychiatric disorders. We assessed 189 schizophrenics for suicide attempt and stressful life events. Early-life stressful events were used as predictors of lifetime suicide attempt in three machine learning models. In our sample, 38% of the schizophrenics had at least one suicide attempt lifetime. The machine learning models provided an overall significant prediction (accuracy range: 62-69%). Childhood sexual molestation and mental illness were important predictors of suicide attempt. Early-life stressful events should be included in models aiming at predicting suicide attempt in schizophrenia.
Copyright © 2020 Elsevier B.V. All rights reserved.
Language: en
LA - en SN - 0920-9964 UR - http://dx.doi.org/10.1016/j.schres.2019.11.061 ID - ref1 ER -