Search Results for author: Weisong Liu

Found 9 papers, 5 papers with code

Generation of Patient After-Visit Summaries to Support Physicians

1 code implementation COLING 2022 Pengshan Cai, Fei Liu, Adarsha Bajracharya, Joe Sills, Alok Kapoor, Weisong Liu, Dan Berlowitz, David Levy, Richeek Pradhan, Hong Yu

Crucially, we introduce a feedback mechanism that alerts physicians when an automatic summary fails to capture the important details of the clinical notes or when it contains hallucinated facts that are potentially detrimental to the summary quality.

Management

Prompting Segmentation with Sound Is Generalizable Audio-Visual Source Localizer

1 code implementation13 Sep 2023 Yaoting Wang, Weisong Liu, Guangyao Li, Jian Ding, Di Hu, Xi Li

Never having seen an object and heard its sound simultaneously, can the model still accurately localize its visual position from the input audio?

CoLA Visual Localization

Early Prediction of Alzheimers Disease Leveraging Symptom Occurrences from Longitudinal Electronic Health Records of US Military Veterans

no code implementations23 Jul 2023 Rumeng Li, Xun Wang, Dan Berlowitz, Brian Silver, Wen Hu, Heather Keating, Raelene Goodwin, Weisong Liu, Honghuang Lin, Hong Yu

We used a panel of AD-related keywords and their occurrences over time in a patient's longitudinal EHRs as predictors for AD prediction with four machine learning models.

ODD: A Benchmark Dataset for the Natural Language Processing based Opioid Related Aberrant Behavior Detection

1 code implementation5 Jul 2023 Sunjae Kwon, Xun Wang, Weisong Liu, Emily Druhl, Minhee L. Sung, Joel I. Reisman, Wenjun Li, Robert D. Kerns, William Becker, Hong Yu

Experimental results show that the prompt-tuning models outperformed the fine-tuning models in most categories and the gains were especially higher among uncommon categories (Suggested Aberrant Behavior, Confirmed Aberrant Behaviors, Diagnosed Opioid Dependence, and Medication Change).

Enhancing the prediction of disease outcomes using electronic health records and pretrained deep learning models

no code implementations22 Dec 2022 Zhichao Yang, Weisong Liu, Dan Berlowitz, Hong Yu

Question: Can an encoder-decoder architecture pretrained on a large dataset of longitudinal electronic health records improves patient outcome predictions?

Denoising

Automated Identification of Eviction Status from Electronic Health Record Notes

1 code implementation6 Dec 2022 Zonghai Yao, Jack Tsai, Weisong Liu, David A. Levy, Emily Druhl, Joel I Reisman, Hong Yu

Materials and Methods: We first defined eviction status (eviction presence and eviction period) and then annotated eviction status in 5000 EHR notes from the Veterans Health Administration (VHA).

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