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

Evaluating prompt engineering on GPT-3.5's performance in USMLE-style medical calculations and clinical scenarios generated by GPT-4

评估 GPT-3.5 在 USMLE 式医学计算和 GPT-4 生成的临床场景中的性能,并探讨其在即时工程方面的应用。

Patel, Dhavalkumar; Raut, Ganesh; Zimlichman, Eyal; Cheetirala, Satya Narayan; Nadkarni, Girish N; Glicksberg, Benjamin S; Apakama, Donald U; Bell, Elijah J; Freeman, Robert; Timsina, Prem; Klang, Eyal

Traditional Machine Learning, Deep Learning, and BERT (Large Language Model) Approaches for Predicting Hospitalizations From Nurse Triage Notes: Comparative Evaluation of Resource Management

基于护士分诊记录预测住院情况的传统机器学习、深度学习和 BERT(大型语言模型)方法:资源管理的比较评估

Patel, Dhavalkumar; Timsina, Prem; Gorenstein, Larisa; Glicksberg, Benjamin S; Raut, Ganesh; Cheetirala, Satya Narayan; Santana, Fabio; Tamegue, Jules; Kia, Arash; Zimlichman, Eyal; Levin, Matthew A; Freeman, Robert; Klang, Eyal

A Hybrid Decision Tree and Deep Learning Approach Combining Medical Imaging and Electronic Medical Records to Predict Intubation Among Hospitalized Patients With COVID-19: Algorithm Development and Validation

结合医学影像和电子病历的混合决策树和深度学习方法预测新冠肺炎住院患者插管:算法开发与验证

Nguyen, Kim-Anh-Nhi; Tandon, Pranai; Ghanavati, Sahar; Cheetirala, Satya Narayana; Timsina, Prem; Freeman, Robert; Reich, David; Levin, Matthew A; Mazumdar, Madhu; Fayad, Zahi A; Kia, Arash

Predicting Adult Hospital Admission from Emergency Department Using Machine Learning: An Inclusive Gradient Boosting Model

利用机器学习预测成人急诊入院:一种包容性梯度提升模型

Patel, Dhavalkumar; Cheetirala, Satya Narayan; Raut, Ganesh; Tamegue, Jules; Kia, Arash; Glicksberg, Benjamin; Freeman, Robert; Levin, Matthew A; Timsina, Prem; Klang, Eyal