This coding was chosen based on prior studies’ interventions demonstrating stronger effects on utilization related to psychiatric diagnoses than medical.14,31 Study 2’s consent form included collection of both the primary hospital system and outside hospital data, increasing record availability to 97%...
Exclusion criteria were: Any known major medical or psychiatric disease and any condition with significant influence on PA. All participants gave written informed consent, and the study was approved by the institutional ethics committee of the Charité—Universitätsmedizin Berlin....
Exclusion criteria were: Any known major medical or psychiatric disease and any condition with significant influence on PA. All participants gave written informed consent, and the study was approved by the institutional ethics committee of the Charité—Universitätsmedizin Berlin. J. Clin. Med. ...
We finally discuss the potential implication of our findings for the psychiatric practice. Keywords: machine learning; Electronic Health Record; violence assessment; deep learning; bag-of-words; Support Vector Machine; Word Embeddings; Recurrent Neural Network 1. Introduction A majority of health care ...
The concordance between the referring physician’s psychiatric diagnosis and the psychiatrist CLP unit showed a kappa of 0.30. When analysing depression and delirium, the concordance showed Kappa = 0.46. Conclusions: Delirium is a highly prevalent psychiatric disorder, but it is still underdiagnosed, ...