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Found 4 papers, 1 papers with code
Enhancing Readmission Prediction with Deep Learning: Extracting Biomedical Concepts from Clinical Texts
A novel aspect of this research involves leveraging the Bio-Discharge Summary Bert (BDSS) model along with principal component analysis (PCA) feature extraction to preprocess data for deep learning model input.
Multi-level biomedical NER through multi-granularity embeddings and enhanced labeling
These results illustrate the proficiency of our proposed model in performing biomedical Named Entity Recognition.
Deep Neural Decision Forest: A Novel Approach for Predicting Recovery or Decease of COVID-19 Patients with Clinical and RT-PCR
This study can provide guidance for medical professionals in the event of a crisis or outbreak similar to COVID-19.
Integration of Text and Graph-based Features for Detecting Mental Health Disorders from Voice
With the availability of voice-enabled devices such as smart phones, mental health disorders could be detected and treated earlier, particularly post-pandemic.
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