25 citations · 70 across the 8 of their papers we have counts for
8 papers
An Empirical Evaluation of Prompting Strategies for Large Language Models in Zero-Shot Clinical Natural Language Processing
Sonish Sivarajkumar, Mark Kelley, Alyssa Samolyk-Mazzanti +2
Large language models (LLMs) have shown remarkable capabilities in Natural Language Processing (NLP), especially in domains where labeled data is scarce or expensive, such as clini…
Unsupervised Machine Learning for the Discovery of Latent Disease Clusters and Patient Subgroups Using Electronic Health Records
Yanshan Wang, Yiqing Zhao, Terry M. Therneau +6
Machine learning has become ubiquitous and a key technology on mining electronic health records (EHRs) for facilitating clinical research and practice. Unsupervised machine learnin…
CREATE: Cohort Retrieval Enhanced by Analysis of Text from Electronic Health Records using OMOP Common Data Model
Sijia Liu, Yanshan Wang, Andrew Wen +6
Background: Widespread adoption of electronic health records (EHRs) has enabled secondary use of EHR data for clinical research and healthcare delivery. Natural language processing…
A Deep Representation Empowered Distant Supervision Paradigm for Clinical Information Extraction
Yanshan Wang, Sunghwan Sohn, Sijia Liu +5
Objective: To automatically create large labeled training datasets and reduce the efforts of feature engineering for training accurate machine learning models for clinical informat…
MatLM: a Matrix Formulation for Probabilistic Language Models
Yanshan Wang, Hongfang Liu
Probabilistic language models are widely used in Information Retrieval (IR) to rank documents by the probability that they generate the query. However, the implementation of the pr…
A novel soft keyboard for touchscreen phones: QWERT
Yanshan Wang
The popularity of touchscreen phones has been growing around the world since the iPhones and Android phones were released. More and more mobile phones with large touchscreen have b…
Stock price direction prediction by directly using prices data: an empirical study on the KOSPI and HSI
Yanshan Wang
The prediction of a stock market direction may serve as an early recommendation system for short-term investors and as an early financial distress warning system for long-term shar…
Indexing by Latent Dirichlet Allocation and Ensemble Model
Yanshan Wang, Jae-Sung Lee, In-Chan Choi
The contribution of this paper is two-fold. First, we present Indexing by Latent Dirichlet Allocation (LDI), an automatic document indexing method. The probability distributions in…