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. 2020 Sep 25;6:26. doi: 10.1038/s41537-020-00115-2

Table 2.

Correlations between clinical variables and ML-predicted/clinically rated scores.

Blunted vocal affect Alogia
Clinical ratings Predicted scores Clinical ratings Predicted scores
Global psychiatric symptoms
BPRS: Agitation −0.09 −0.22 0.02 0.15
BPRS: Positive 0.28* 0.06 0.14 −0.02
BPRS: Negative 0.82* 0.63* 0.46* 0.20
BPRS: Affect −0.11 −0.13 −0.06 0.06
Schizophrenia-spectrum symptoms
SAPS: Hallucinations 0.37* 0.19 0.13 −0.05
SAPS: Delusions 0.27 0.26 0.27 0.05
SAPS Bizarre behavior 0.07 −0.02 0.18 0.03
SAPS: Thought disorder −0.13 −0.12 0.17 0.19
SANS: Blunted affect 0.85* 0.62* 0.43* 0.20
SANS: Alogia 0.46* 0.34* 1.00 0.57*
SANS: Apathy −0.17 0.10 0.07 0.00
SANS Anhedonia 0.14 0.18 0.19 0.08
Functioning
Cognition −0.30* −0.29* −0.14 0.03
Social functioning −0.27+ −0.28+ −0.28+ −0.31*

Bivariate correlations between ML “Predicted” scores (from Machine Learning) and Clinically Rated Blunted Vocal Affect and Alogia scores and clinical symptom and functioning variables. ML scores for each audio recording were averaged across participants (total K samples = 1745, n = 55).

ML machine learning.

*p < 0.05; +p < 0.10.