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

Analysis of Metabolic and Quality-of-Life Factors in Patients With Cancer for a New Approach to Classifying Walking Habits: Secondary Analysis of a Randomized Controlled Trial

癌症患者代谢和生活质量因素分析:一种新的步行习惯分类方法——一项随机对照试验的二次分析

Tak, Yae Won; Kim, Junetae; Chung, Haekwon; Lee, Sae Byul; Park, In Ja; Lee, Sei Won; Jo, Min-Woo; Lee, Jong Won; Baek, Seunghee; Lee, Yura

Predicting Long-Term Engagement in mHealth Apps: Comparative Study of Engagement Indices

预测移动医疗应用的长期用户参与度:参与度指标的比较研究

Tak, Yae Won; Lee, Jong Won; Kim, Junetae; Lee, Yura

Machine learning algorithms that predict the risk of prostate cancer based on metabolic syndrome and sociodemographic characteristics: a prospective cohort study

基于代谢综合征和社会人口学特征预测前列腺癌风险的机器学习算法:一项前瞻性队列研究

Tran, Tao Thi; Lee, Jeonghee; Kim, Junetae; Kim, Sun-Young; Cho, Hyunsoon; Kim, Jeongseon

A comparison of machine learning models and Cox proportional hazards models regarding their ability to predict the risk of gastrointestinal cancer based on metabolic syndrome and its components

比较机器学习模型和Cox比例风险模型在基于代谢综合征及其各组成部分预测胃肠道癌症风险方面的能力

Tran, Tao Thi; Lee, Jeonghee; Gunathilake, Madhawa; Kim, Junetae; Kim, Sun-Young; Cho, Hyunsoon; Kim, Jeongseon

A nomogram for predicting probability of low risk of MammaPrint results in women with clinically high-risk breast cancer

用于预测临床高危乳腺癌女性MammaPrint检测结果低风险概率的列线图

Lee, Young Joo; Hwang, Young Sol; Kim, Junetae; Ahn, Sei-Hyun; Son, Byung Ho; Kim, Hee Jeong; Ko, Beom Seok; Kim, Jisun; Chung, Il Yong; Lee, Jong Won; Lee, Sae Byul

Understanding Time Series Patterns of Weight and Meal History Reports in Mobile Weight Loss Intervention Programs: Data-Driven Analysis

理解移动减肥干预项目中体重和膳食历史报告的时间序列模式:数据驱动分析

Kim, Junetae; Kam, Hye Jin; Kim, Youngin; Lee, Yura; Lee, Jae-Ho

Limitations of Deep Learning Attention Mechanisms in Clinical Research: Empirical Case Study Based on the Korean Diabetic Disease Setting

深度学习注意力机制在临床研究中的局限性:基于韩国糖尿病疾病场景的实证案例研究

Kim, Junetae; Lee, Sangwon; Hwang, Eugene; Ryu, Kwang Sun; Jeong, Hanseok; Lee, Jae Wook; Hwangbo, Yul; Choi, Kui Son; Cha, Hyo Soung

Development of a Real-Time Risk Prediction Model for In-Hospital Cardiac Arrest in Critically Ill Patients Using Deep Learning: Retrospective Study

利用深度学习构建危重患者院内心脏骤停实时风险预测模型:回顾性研究

Kim, Junetae; Park, Yu Rang; Lee, Jeong Hoon; Lee, Jae-Ho; Kim, Young-Hak; Huh, Jin Won

A Nomogram for Predicting the Oncotype DX Recurrence Score in Women with T1-3N0-1miM0 Hormone Receptor‒Positive, Human Epidermal Growth Factor 2 (HER2)‒Negative Breast Cancer

用于预测T1-3N0-1miM0期激素受体阳性、人表皮生长因子受体2 (HER2) 阴性乳腺癌女性患者Oncotype DX复发评分的列线图

Lee, Sae Byul; Kim, Junetae; Sohn, Guiyun; Kim, Jisun; Chung, Il Yong; Kim, Hee Jeong; Ko, Beom Seok; Son, Byung Ho; Ahn, Sei-Hyun; Lee, Jong Won; Jung, Kyung Hae

Usage Pattern Differences and Similarities of Mobile Electronic Medical Records Among Health Care Providers

医疗服务提供者移动电子病历使用模式的异同

Lee, Yura; Park, Yu Rang; Kim, Junetae; Kim, Jeong Hoon; Kim, Woo Sung; Lee, Jae-Ho