日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

A pre-trained language model approach for triaging surgical patients for preoperative anesthesia clinics

一种用于术前麻醉门诊手术患者分诊的预训练语言模型方法

Xu, Nicole Y; Litake, Onkar; Tully, Jeffrey L; Meineke, Minhthy N; Sinha, Anika; Meyer, Megan; Gabriel, Rodney A

Classification of Surgical Patients Needing Preoperative Cardiac Evaluations: A Comparison of General-Purpose and Domain-Specific Large Language Models

需要术前心脏评估的外科患者分类:通用大型语言模型与领域特定大型语言模型的比较

Tully, Jeffrey L; Litake, Onkar; Meineke, Minhthy N; Simpson, Sierra; Waterman, Ruth S; Gabriel, Rodney A

Comparative Study Between Various Scoring Systems in Predicting the Severity of Acute Pancreatitis

不同评分系统在预测急性胰腺炎严重程度方面的比较研究

Deshpande, Shrinath G; Litake, Manjusha M

On the development and validation of large language model-based classifiers for identifying social determinants of health

关于基于大型语言模型的分类器在识别健康社会决定因素方面的开发和验证

Gabriel, Rodney A; Litake, Onkar; Simpson, Sierra; Burton, Brittany N; Waterman, Ruth S; Macias, Alvaro A

Constructing synthetic datasets with generative artificial intelligence to train large language models to classify acute renal failure from clinical notes

利用生成式人工智能构建合成数据集,训练大型语言模型,以根据临床记录对急性肾衰竭进行分类。

Litake, Onkar; Park, Brian H; Tully, Jeffrey L; Gabriel, Rodney A

Improving long COVID-related text classification: a novel end-to-end domain-adaptive paraphrasing framework

改进长篇 COVID 相关文本分类:一种新型的端到端领域自适应释义框架

Somayajula, Sai Ashish; Litake, Onkar; Liang, Youwei; Hosseini, Ramtin; Nemati, Shamim; Wilson, David O; Weinreb, Robert N; Malhotra, Atul; Xie, Pengtao