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

Predicting low density lipoprotein cholesterol target attainment using machine learning in patients with coronary artery disease receiving moderate-dose statin therapy

利用机器学习预测接受中等剂量他汀类药物治疗的冠心病患者低密度脂蛋白胆固醇达标情况

Han, Jiye; Kim, Yunha; Kang, Hee Jun; Seo, Jiahn; Choi, Heejung; Kim, Minkyoung; Kee, Gaeun; Park, Seohyun; Ko, Soyoung; Jung, HyoJe; Kim, Byeolhee; Jun, Tae Joon; Kim, Young-Hak

Multimodal machine learning for 5-year mortality prediction after percutaneous coronary intervention

利用多模态机器学习预测经皮冠状动脉介入治疗后5年死亡率

Kim, Byeolhee; Suh, Jungyo; Kim, Young-Hak; Ahn, Jung-Min; Jun, Tae Joon

Leveraging BERT for embedding ICD codes from large scale cardiovascular EMR data to understand patient diagnostic patterns

利用 BERT 从大规模心血管电子病历数据中嵌入 ICD 代码,以了解患者的诊断模式

Kim, Minkyoung; Kim, Yunha; Kang, Hee Jun; Seo, Hyeram; Choi, Heejung; Han, JiYe; Kee, Gaeun; Ko, Soyoung; Jung, HyoJe; Kim, Byeolhee; Choi, Boeun; Jun, Tae Joon; Kim, Young-Hak

Clinical Assessment of Fine-Tuned Open-Source LLMs in Cardiology: From Progress Notes to Discharge Summary

心脏病学中微调开源逻辑逻辑模型的临床评估:从病程记录到出院总结

Jung, HyoJe; Kim, Yunha; Seo, Jiahn; Choi, Heejung; Kim, Minkyoung; Han, Jiye; Kee, Gaeun; Ko, Soyoung; Kim, Byeolhee; Choi, Boeun; Kim, Ah-Ram; Ahn, Jung-Min; Jun, Tae Joon; Kim, Young-Hak

Time series forecasting of weight for diuretic dose adjustment using bidirectional long short-term memory

利用双向长短期记忆网络进行体重时间序列预测以调整利尿剂剂量

Choi, Heejung; Kim, Yunha; Kang, Heejun; Seo, Hyeram; Kim, Minkyoung; Han, JiYe; Kee, Gaeun; Park, Seohyun; Ko, Soyoung; Jung, HyoJe; Kim, Byeolhee; Roh, Jae-Hyung; Jun, Tae Joon; Kim, Young-Hak

Development and transfer learning of self-attention model for major adverse cardiovascular events prediction across hospitals

开发和迁移学习用于预测医院重大不良心血管事件的自注意力模型

Kim, Yunha; Kang, Heejun; Seo, Hyeram; Choi, Heejung; Kim, Minkyoung; Han, JiYe; Kee, Gaeun; Park, Seohyun; Ko, Soyoung; Jung, HyoJe; Kim, Byeolhee; Jun, Tae Joon; Roh, Jae-Hyung; Kim, Young-Hak

Forecasting Hospital Room and Ward Occupancy Using Static and Dynamic Information Concurrently: Retrospective Single-Center Cohort Study

利用静态和动态信息同时预测医院病房和房间占用率:回顾性单中心队列研究

Seo, Hyeram; Ahn, Imjin; Gwon, Hansle; Kang, Heejun; Kim, Yunha; Choi, Heejung; Kim, Minkyoung; Han, Jiye; Kee, Gaeun; Park, Seohyun; Ko, Soyoung; Jung, HyoJe; Kim, Byeolhee; Oh, Jungsik; Jun, Tae Joon; Kim, Young-Hak