Yishu Wei
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View article: Deciphering genomic codes using advanced natural language processing techniques: a scoping review
Deciphering genomic codes using advanced natural language processing techniques: a scoping review Open
Objectives The vast and complex nature of human genomic sequencing data presents challenges for effective analysis. This review aims to investigate the application of natural language processing (NLP) techniques, particularly large languag…
View article: Deciphering genomic codes using advanced NLP techniques: a scoping review.
Deciphering genomic codes using advanced NLP techniques: a scoping review. Open
The application of NLP and LLMs to genomic sequencing data interpretation is a promising field that can help streamline the processing of large-scale genomic data while providing a better understanding of its complex structures. It can pot…
View article: Smooth Sigmoid Surrogate (SSS): An Alternative to Greedy Search in Decision Trees
Smooth Sigmoid Surrogate (SSS): An Alternative to Greedy Search in Decision Trees Open
Greedy search (GS) or exhaustive search plays a crucial role in decision trees and their various extensions. We introduce an alternative splitting method called smooth sigmoid surrogate (SSS) in which the indicator threshold function used …
View article: Enhancing disease detection in radiology reports through fine-tuning lightweight LLM on weak labels
Enhancing disease detection in radiology reports through fine-tuning lightweight LLM on weak labels Open
Despite significant progress in applying large language models (LLMs) to the medical domain, several limitations still prevent them from practical applications. Among these are the constraints on model size and the lack of cohort-specific …
View article: Deep learning with noisy labels in medical prediction problems: a scoping review
Deep learning with noisy labels in medical prediction problems: a scoping review Open
Objectives Medical research faces substantial challenges from noisy labels attributed to factors like inter-expert variability and machine-extracted labels. Despite this, the adoption of label noise management remains limited, and label no…
View article: Deep learning with noisy labels in medical prediction problems: a scoping review
Deep learning with noisy labels in medical prediction problems: a scoping review Open
Objectives: Medical research faces substantial challenges from noisy labels attributed to factors like inter-expert variability and machine-extracted labels. Despite this, the adoption of label noise management remains limited, and label n…
View article: Precision medicine: Subgroup identification in longitudinal trajectories
Precision medicine: Subgroup identification in longitudinal trajectories Open
In clinical studies, the treatment effect may be heterogeneous among patients. It is of interest to identify subpopulations which benefit most from the treatment, regardless of the treatment’s overall performance. In this study, we are int…