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Found 6 papers, 0 papers with code
Development and Validation of a Deep-Learning Model for Differential Treatment Benefit Prediction for Adults with Major Depressive Disorder Deployed in the Artificial Intelligence in Depression Medication Enhancement (AIDME) Study
RESULTS: In the evaluation on the held-out test set, the model demonstrated achieved an AUC of 0. 65.
Towards Outcome-Driven Patient Subgroups: A Machine Learning Analysis Across Six Depression Treatment Studies
We analyzed data from six clinical trials of pharmacological treatment for depression (total n = 5438) using the Differential Prototypes Neural Network (DPNN), a neural network model that derives patient prototypes which can be used to derive treatment-relevant patient clusters while learning to generate probabilities for differential treatment response.
Applying Artificial Intelligence to Clinical Decision Support in Mental Health: What Have We Learned?
Clinical decision support systems (CDSS) augmented with artificial intelligence (AI) models are emerging as potentially valuable tools in healthcare.
Legends: Folklore on Reddit
In this paper we introduce Reddit legends, a collection of venerated old posts that have become famous on Reddit.
Tkol, Httt, and r/radiohead: High Affinity Terms in Reddit Communities
Language is an important marker of a cultural group, large or small.
Big Data Analytics and AI in Mental Healthcare
Mental health conditions cause a great deal of distress or impairment; depression alone will affect 11% of the world's population.
