HarmoniCA
Collection
Harmonizing Clinical Assessments: enabling integration of symptom measures in large multi-site studies. • 6 items • Updated
How to use julia-pfarr/HarmoniCA_anxiety with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("julia-pfarr/HarmoniCA_anxiety")
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 anxiety questionnaires to one of two theoretically motivated symptom dimensions.
| ID | Label | Description |
|---|---|---|
| 1 | Somatic Anxiety | physiological manifestations of anxiety: racing heart, sweating, trembling, shortness of breath, autonomic symptoms |
| 2 | Cognitive Anxiety | worry, fear, apprehension, panic, distressing thoughts, anticipation of negative events |
Items rated as not belonging to the anxiety construct are assigned dimension -1 (Does not fit).
Evaluated on 66 held-out items from unseen questionnaires against expert labels.
| Cohen's κ | Accuracy |
|---|---|
| 0.877 | 93.9% |
Cross-validation (leave-one-questionnaire-out, 13 folds): mean accuracy 93.7% ± 10.7%.
in preparation
Base model
sentence-transformers/gtr-t5-large