16 citations · 90 across the 22 of their papers we have counts for
5 papers · 1 filter
An empirical study of using radiology reports and images to improve ICU mortality prediction
Mingquan Lin, Song Wang, Ying Ding +3
Background: The predictive Intensive Care Unit (ICU) scoring system plays an important role in ICU management because it predicts important outcomes, especially mortality. Many sco…
Less Likely Brainstorming: Using Language Models to Generate Alternative Hypotheses
Liyan Tang, Yifan Peng, Yanshan Wang +3
A human decision-maker benefits the most from an AI assistant that corrects for their biases. For problems such as generating interpretation of a radiology report given findings, a…
CancerGPT: Few-shot Drug Pair Synergy Prediction using Large Pre-trained Language Models
Tianhao Li, Sandesh Shetty, Advaith Kamath +4
Large pre-trained language models (LLMs) have been shown to have significant potential in few-shot learning across various fields, even with minimal training data. However, their a…
Analyzing Impact of Socio-Economic Factors on COVID-19 Mortality Prediction Using SHAP Value
Redoan Rahman, Jooyeong Kang, Justin F Rousseau +1
This paper applies multiple machine learning (ML) algorithms to a dataset of de-identified COVID-19 patients provided by the COVID-19 Research Database. The dataset consists of 20,…
Using Explainable AI to Cross-Validate Socio-economic Disparities Among Covid-19 Patient Mortality
Li Shi, Redoan Rahman, Esther Melamed +3
This paper applies eXplainable Artificial Intelligence (XAI) methods to investigate the socioeconomic disparities in COVID patient mortality. An Extreme Gradient Boosting (XGBoost)…