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

RESEARCH NOTE: Effect of inhibition of bone morphogenetic protein signaling pathway by dorsomorphin on the establishment of embryo polarity

研究简报:背模素抑制骨形态发生蛋白信号通路对胚胎极性建立的影响

Lee, Hyung Chul

Development and internal validation of a deep learning algorithm for intraoperative arterial pressure-based stroke volume index estimation in children: a single-center retrospective study

基于深度学习的儿童术中动脉压搏出量指数估计算法的开发和内部验证:一项单中心回顾性研究

Yang, Hyun-Lim; Jang, Young-Eun; Jung, Chul-Woo; Kim, Hee-Soo; Kim, Eun-Hee; Ji, Sang-Hwan; Kim, Min-Soo; Lee, Hyung-Chul

Electrocardiogram-based deep learning score for coronary artery calcification reclassifies cardiovascular risk and identifies screening candidates

基于心电图的深度学习评分可用于评估冠状动脉钙化,从而重新分类心血管风险并识别筛查候选者。

Han, Changho; You, Seng Chan; Lee, Hyung-Chul; Park, Jin Young; Lim, Hong-Seok; Park, ChulHyoung; Pak, Hui-Nam; Kwon, Oh-Seok; Kim, Songsoo; Kim, Jung-Sun; Yoon, Dukyong

Hypoxemia prediction in pediatric patients under general anesthesia using machine learning: A retrospective observational study and external validation

利用机器学习预测全身麻醉下儿科患者的低氧血症:一项回顾性观察研究及外部验证

Baek, Sujin; Park, Jung-Bin; Heo, Jihye; Kim, Kyungsang; Baek, Donghyeon; Oh, Chahyun; Lee, Hyung-Chul; Lee, Dongheon; Hong, Boohwi

Protocol for development of a reporting guideline (TRIPOD-Code) for code repositories associated with diagnostic and prognostic prediction model studies

诊断和预后预测模型研究相关代码库报告指南(TRIPOD-Code)制定方案

Pollard, Tom; Sounack, Thomas; Gao, Catherine A; Celi, Leo Anthony; Lindvall, Charlotta; Lee, Hyeonhoon; Lee, Hyung-Chul; Moons, Karel G M; Collins, Gary S

Multicenter validation of a scalable, interpretable, multitask prediction model for multiple clinical outcomes

对一种可扩展、可解释、多任务预测模型进行多中心验证,以预测多种临床结果

Yoon, Hyun-Kyu; Kim, Bo Rim; Kim, Hyo Young; Park, Dae Keun; Kim, Hyo Sung; Cho, Hye-Yeon; Lee, Hyung-Chul; Lee, Hyeonhoon

Efficacy of large language models in detecting postoperative delirium from unstructured clinical notes: A retrospective cohort study

大型语言模型在从非结构化临床记录中检测术后谵妄方面的有效性:一项回顾性队列研究

Eun, Da-In; Lee, Hyung-Chul; Heo, Gang; Jeong, Jae Hoon; Lee, Jipyeong; Lee, Hyeonhoon; Park, Sang-Youn; Nam, Karam; Lee, Ho-Jin; Ju, Jae-Woo

Development of a deep learning-based prediction model for postoperative delirium using intraoperative electroencephalogram in adults

利用术中脑电图开发基于深度学习的成人术后谵妄预测模型

Ahn, Jang Ho; Lee, Hyeonhoon; Gambus, Pedro; Yoon, Hyun-Kyu; Ju, Jae-Woo; Lee, Hyung-Chul

Multimodal deep learning to predict postoperative major adverse cardiac and cerebrovascular events after noncardiac surgery

利用多模态深度学习预测非心脏手术后主要不良心脑血管事件

Yoon, Hyun-Kyu; Ahn, Jang Ho; Kim, Byeol Yi; Lee, Hyeonhoon; Jo, Woo-Young; Yoon, Soo-Hyuk; Park, Hee-Pyoung; Lee, Hyung-Chul

Multicenter validation of a machine learning model to predict intensive care unit readmission within 48 hours after discharge

一项多中心验证机器学习模型预测出院后 48 小时内重症监护室再入院的有效性研究

Lim, Leerang; Kim, Mincheol; Cho, Kyungjae; Yoo, Dongjoon; Sim, Dayeon; Ryu, Ho Geol; Lee, Hyung-Chul