Optimizing Operation Room Utilization—A Prediction Model Background: Operating rooms are the core of hospitals. They are a primary source of revenue and are often seen

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

A machine learning-based prediction model for gout in hyperuricemics: a nationwide cohort study Objective To develop a machine learning-based prediction model for identifying hyperuricemic participants

DSF-GAN: DownStream Feedback Generative Adversarial Network Utility and privacy are two crucial measurements of the quality of synthetic tabular data. While significant advancements have been

Volume-Outcome Relationship of Resternotomy Coronary Artery Bypass Grafting We assessed volume-outcome relationships of resternotomy coronary artery bypass grafting (CABG). We studied over 1M first-time CABG

Multi-Dimensional Laboratory Test Score as a Proxy for Health The standard of care for a physician to review laboratory tests results is to weigh each

Improving Prediction Models’ Propriety in Intensive-Care Unit, by Enforcing an Advance Notice Period Intensive-Care-Units (ICUs) are time-critical, and sufficient reaction time is crucial. Previous studies

Comparison of Classification with Reject Option Approaches on MIMIC-IV Dataset This work compares two machine learning approaches that use the reject option method, i.e., the

ProteinBERT: a universal deep-learning model of protein sequence and function Self-supervised deep language modeling has shown unprecedented success across natural language tasks, and has recently

Optimizing Operation Room Utilization—A Prediction Model Operating rooms are the core of hospitals. They are a primary source of revenue and are often seen as

A genome-wide association study identifies only two ancestry specific variants associated with spontaneous preterm birth Preterm birth (PTB), or the delivery prior to 37 weeks