Nurse-led self-care interventions for older adults with multiple chronic conditions: A protocol for a systematic review and network meta-analysis von Choi, Heejung, Seomun, GyeongAe

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Applicable Machine Learning Model for Predicting Contrast-induced Nephropathy Based on Pre-catheterization Variables von Choi, Heejung, Choi, Byungjin, Park, Inwhee

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Influencing Factors on Career Preparation Behavior of Nursing Students in the Post COVID-19 Era von Choi, Heejung, Rajaguru, Vasuki

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

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

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Applicable Machine Learning Model for Predicting Contrast-induced Nephropathy Based on Pre-catheterization Variables von Choi, Heejung, Choi, Byungjin, Han, Sungdam, Lee, Minjeong, Shin, Gyu-Tae, Kim, Heungsoo, Son, Minkook, Kim, Kyung-Hee, Kwon, Joon-myoung, Park, Rae Woong, Park, Inwhee

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Heterogeneous graph construction and HinSAGE learning from electronic medical records von Cho, Ha Na, Ahn, Imjin, Gwon, Hansle, Kang, Hee Jun, Kim, Yunha, Seo, Hyeram, Choi, Heejung, Kim, Minkyoung, Han, Jiye, Kee, Gaeun, Jun, Tae Joon, Kim, Young-Hak

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Explainable predictions of a machine learning model to forecast the postoperative length of stay for severe patients: machine learning model development and evaluation von Cho, Ha Na, Ahn, Imjin, Gwon, Hansle, Kang, Hee Jun, Kim, Yunha, Seo, Hyeram, Choi, Heejung, Kim, Minkyoung, Han, Jiye, Kee, Gaeun, Park, Seohyun, Jun, Tae Joon, Kim, Young-Hak

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Mobile-Application-Based Interventions for Patients With Hypertension and Ischemic Heart Disease: A Systematic Review von CHOI, Jin Yi, CHOI, Heejung, SEOMUN, GyeongAe, KIM, Eun Jung

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Machine learning models to predict the warfarin discharge dosage using clinical information of inpatients from South Korea von Choi, Heejung, Kang, Hee Jun, Ahn, Imjin, Gwon, Hansle, Kim, Yunha, Seo, Hyeram, Cho, Ha Na, Han, JiYe, Kim, Minkyoung, Kee, Gaeun, Park, Seohyun, Kwon, Osung, Roh, Jae-Hyung, Kim, Ah-Ram, Kim, Ju Hyeon, Jun, Tae Joon, Kim, Young-Hak

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Kidney replacement therapy trends in end-stage kidney disease patients in South Korea during the COVID-19 pandemic von Kim, Ah-Young, Lee, Min-Jeong, Choi, Heejung, Lee, Hankil, Park, Inwhee

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Mitoribosome insufficiency in β cells is associated with type 2 diabetes-like islet failure von Hong, Hyun Jung, Joung, Kyong Hye, Kim, Yong Kyung, Choi, Min Jeong, Kang, Seul Gi, Kim, Jung Tae, Kang, Yea Eun, Chang, Joon Young, Moon, Joon Ho, Jun, Sangmi, Ro, Hyun-Joo, Lee, Yujeong, Kim, Hyeongseok, Park, Jae-Hyung, Kang, Baeki E., Jo, Yunju, Choi, Heejung, Ryu, Dongryeol, Lee, Chul-Ho, Kim, Hail, Park, Kyu-Sang, Kim, Hyun Jin, Shong, Minho

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ID: 335625 Infection Following Spinal Cord Stimulator Trial: A Case Report and Literature Review von Zegar, Ayah, Choi, Heejung

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Predictors of Depression among Individuals Receiving the Basic Livelihood Security Program Benefits in Korea: A Study Based on the Sixth and Seventh Korea National Health and Nutri... von Choi, Heejung, Shim, Jaelan

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Task-Specific Transformer-Based Language Models in Health Care: Scoping Review von Cho, Ha Na, Jun, Tae Joon, Kim, Young-Hak, Kang, Heejun, Ahn, Imjin, Gwon, Hansle, Kim, Yunha, Seo, Jiahn, Choi, Heejung, Kim, Minkyoung, Han, Jiye, Kee, Gaeun, Park, Seohyun, Ko, Soyoung

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The role of parent firms in business groups’ internal capital markets von Choi, Heejung, Suh, Jungwon

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Production of germline chimeric quails following spermatogonial cell transplantation in busulfan-treated testis von Kim, Young, Park, Jin, Yoon, Jong, Choi, Hee, Park, Kyung, Ono, Tamao, Han, Jae

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Are polypharmacy side effects predicted by public data still valid in real-world data? von Kee, Gaeun, Kang, Hee Jun, Ahn, Imjin, Gwon, Hansle, Kim, Yunha, Seo, Hyeram, Choi, Heejung, Cho, Ha Na, Kim, Minkyoung, Han, JiYe, Park, Seohyun, Kim, Kyuwoong, Jun, Tae Joon, Kim, Young-Hak

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

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Machine Learning-Based Hospital Discharge Prediction for Patients With Cardiovascular Diseases: Development and Usability Study von Ahn, Imjin, Gwon, Hansle, Kang, Heejun, Kim, Yunha, Seo, Hyeram, Choi, Heejung, Cho, Ha Na, Kim, Minkyoung, Jun, Tae Joon, Kim, Young-Hak

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