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Large Language Multimodal Models for 5-Year Chronic Disease Cohort Prediction Using EHR Data
In our experiments, we observe that clinicalBERT and PubMed-BERT, when combined with attention fusion, can achieve an accuracy of 73% in multiclass chronic diseases and diabetes prediction.
Continuous Speech for Improved Learning Pathological Voice Disorders
The experiments were conducted on a large-scale database, wherein 1, 045 continuous speech were collected by the speech clinic of a hospital from 2012 to 2019.
Toward Real-World Voice Disorder Classification
Conclusion: By deploying factorized convolutional neural networks and domain adversarial training, domain-invariant features can be derived for voice disorder classification with limited resources.
Robustness against the channel effect in pathological voice detection
In this study, we propose a detection system for pathological voice, which is robust against the channel effect.
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