HarmoniCA
Collection
Harmonizing Clinical Assessments: enabling integration of symptom measures in large multi-site studies. • 6 items • Updated
How to use julia-pfarr/HarmoniCA_psychosis with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("julia-pfarr/HarmoniCA_psychosis")
sentences = [
"The weather is lovely today.",
"It's so sunny outside!",
"He drove to the stadium."
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [3, 3]Part of the HarmoniCA collection for harmonising psychiatric questionnaire items across studies. This model assigns items from psychosis questionnaires to one of two theoretically motivated symptom dimensions.
| ID | Label | Description |
|---|---|---|
| 1 | Hallucinations | seeing, hearing, feeling, or smelling things that are not there; perceptual disturbances; illusions |
| 2 | Delusions | false beliefs firmly held despite evidence; paranoid ideation; persecution; grandiosity |
Items rated as not belonging to the psychosis construct are assigned dimension -1 (Does not fit).
Evaluated on 18 held-out items from unseen questionnaires against expert labels.
| Cohen's κ | Accuracy |
|---|---|
| 0.700 | 83.3% |
Note: The test set is small (n=18), so the confidence interval is wide [0.388, 1.000].
Cross-validation (leave-one-questionnaire-out, 11 folds): mean accuracy 91.4% ± 12.5%.
in preparation
Base model
hkunlp/instructor-large