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Found 6 papers, 5 papers with code
DSF-GAN: DownStream Feedback Generative Adversarial Network
Thus, DSF-GAN utilizes a downstream prediction task to enhance the utility of synthetic samples.
CPLLM: Clinical Prediction with Large Language Models
We present Clinical Prediction with Large Language Models (CPLLM), a method that involves fine-tuning a pre-trained Large Language Model (LLM) for clinical disease prediction.
Subpopulation-Specific Synthetic EHR for Better Mortality Prediction
Electronic health records (EHR) often contain different rates of representation of certain subpopulations (SP).
Federated Learning of Medical Concepts Embedding using BEHRT
Therefore, the EHR data from the medical centers often cannot be shared, making it difficult to create prediction models using multi-center EHR data, which is essential for such models' robustness and generalizability.
ProteinBERT: a universal deep-learning model of protein sequence and function
We introduce ProteinBERT, a deep language model specifically designed for proteins.
Language Modelling
Protein Secondary Structure Prediction
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An expanded evaluation of protein function prediction methods shows an improvement in accuracy
To review progress in the field, the analysis also compared the best methods participating in CAFA1 to those of CAFA2.
Quantitative Methods
