Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Hansle Gwon"'
Autor:
Heejung Choi, Hee Jun Kang, Imjin Ahn, Hansle Gwon, Yunha Kim, Hyeram Seo, Ha Na Cho, JiYe Han, Minkyoung Kim, Gaeun Kee, Seohyun Park, Osung Kwon, Jae-Hyung Roh, Ah-Ram Kim, Ju Hyeon Kim, Tae Joon Jun, Young-Hak Kim
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-11 (2023)
Abstract As warfarin has a narrow therapeutic window and obvious response variability among individuals, it is difficult to rapidly determine personalized warfarin dosage. Adverse drug events(ADE) resulting from warfarin overdose can be critical, so
Externí odkaz:
https://doaj.org/article/c0190f6a656d4668a2eb8aa81266390d
Autor:
Hyeram Seo, Imjin Ahn, Hansle Gwon, Heejun Kang, Yunha Kim, Heejung Choi, Minkyoung Kim, Jiye Han, Gaeun Kee, Seohyun Park, Soyoung Ko, HyoJe Jung, Byeolhee Kim, Jungsik Oh, Tae Joon Jun, Young-Hak Kim
Publikováno v:
JMIR Medical Informatics, Vol 12, p e53400 (2024)
BackgroundPredicting the bed occupancy rate (BOR) is essential for efficient hospital resource management, long-term budget planning, and patient care planning. Although macro-level BOR prediction for the entire hospital is crucial, predicting occupa
Externí odkaz:
https://doaj.org/article/d18537bf441e4ec19d45cc203b559e14
Autor:
Gaeun Kee, Hee Jun Kang, Imjin Ahn, Hansle Gwon, Yunha Kim, Hyeram Seo, Heejung Choi, Ha Na Cho, Minkyoung Kim, JiYe Han, Seohyun Park, Kyuwoong Kim, Tae Joon Jun, Young-Hak Kim
Publikováno v:
Heliyon, Vol 10, Iss 2, Pp e24620- (2024)
Background and Objective: Although interest in predicting drug-drug interactions is growing, many predictions are not verified by real-world data. This study aimed to confirm whether predicted polypharmacy side effects using public data also occur in
Externí odkaz:
https://doaj.org/article/300c5374397e449faaecb1808ae6a40c
Autor:
Ha Na Cho, Imjin Ahn, Hansle Gwon, Hee Jun Kang, Yunha Kim, Hyeram Seo, Heejung Choi, Minkyoung Kim, Jiye Han, Gaeun Kee, Tae Joon Jun, Young-Hak Kim
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-9 (2022)
Abstract Graph representation learning is a method for introducing how to effectively construct and learn patient embeddings using electronic medical records. Adapting the integration will support and advance the previous methods to predict the progn
Externí odkaz:
https://doaj.org/article/699ffbd5d50a4b2090f6bb7074491330
Autor:
Imjin Ahn, Wonjun Na, Osung Kwon, Dong Hyun Yang, Gyung-Min Park, Hansle Gwon, Hee Jun Kang, Yeon Uk Jeong, Jungsun Yoo, Yunha Kim, Tae Joon Jun, Young-Hak Kim
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 21, Iss 1, Pp 1-15 (2021)
Abstract Background Cardiovascular diseases (CVDs) are difficult to diagnose early and have risk factors that are easy to overlook. Early prediction and personalization of treatment through the use of artificial intelligence (AI) may help clinicians
Externí odkaz:
https://doaj.org/article/cf1ca6249cc043c8bafa339f7468d7a9
Autor:
Imjin Ahn, Hansle Gwon, Heejun Kang, Yunha Kim, Hyeram Seo, Heejung Choi, Ha Na Cho, Minkyoung Kim, Tae Joon Jun, Young-Hak Kim
Publikováno v:
JMIR Medical Informatics, Vol 9, Iss 11, p e32662 (2021)
BackgroundEffective resource management in hospitals can improve the quality of medical services by reducing labor-intensive burdens on staff, decreasing inpatient waiting time, and securing the optimal treatment time. The use of hospital processes r
Externí odkaz:
https://doaj.org/article/7d851e6299924028b7b37046c1157366
Autor:
Hansle Gwon, Imjin Ahn, Yunha Kim, Hee Jun Kang, Hyeram Seo, Ha Na Cho, Heejung Choi, Tae Joon Jun, Young-Hak Kim
Publikováno v:
JMIR Public Health and Surveillance, Vol 7, Iss 10, p e30824 (2021)
BackgroundWhen using machine learning in the real world, the missing value problem is the first problem encountered. Methods to impute this missing value include statistical methods such as mean, expectation-maximization, and multiple imputations by
Externí odkaz:
https://doaj.org/article/4dc0083227d6405da23e362e542c175f
Autor:
Heejung Choi, Young-Hak Kim, Tae Joon Jun, Hee Jun Kang, Imjin Ahn, Hansle Gwon, Yunha Kim, Hyeram Seo, Ha Na Cho, Minkyoung Kim, JiYe Han, Gaeun Kee, Seohyun Park, Osung Kwon, Jae-Hyung Roh, Ah-Ram Kim, Ju Hyeon Kim
BACKGROUND As warfarin has a narrow therapeutic window and obvious response variability among individuals, it is difficult to rapidly determine personalized warfarin dosage. Adverse drug events resulting from warfarin overdose can be critical. Our st
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::82d99e9f7378d3382f9b827f9e0967f8
https://doi.org/10.2196/preprints.47864
https://doi.org/10.2196/preprints.47864
Autor:
Ha Na Cho, Tae Joon Jun, Young-Hak Kim, Hee Jun Kang, Imjin Ahn, Hansle Gwon, Yunha Kim, Hyeram Seo, Heejung Choi, Minkyoung Kim, JiYe Han, Gaeun Kee, Seohyun Park
BACKGROUND Understanding the length of stay of severe patients who require general anesthesia is key to enhancing health outcomes. OBJECTIVE Here, we aim to discover how machine learning can support resource allocation management and decision-making
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7181645146759b9dd423efa29f36b72f
https://doi.org/10.2196/preprints.47021
https://doi.org/10.2196/preprints.47021
Autor:
Ha Na Cho, Imjin Ahn, Hansle Gwon, Hee Jun Kang, Yunha Kim, Hyeram Seo, Heejung Choi, Minkyoung Kim, Jiye Han, Gaeun Kee, Tae Joon Jun, Young-Hak Kim
Understanding the length of stay of severe patients who require general anesthesia is key to enhancing health outcomes. Here, we aim to discover how machine learning can support resource allocation management and decision-making resulting from the le
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0bb4c46db254b22a81c9e8d858c318cd
https://doi.org/10.21203/rs.3.rs-2298843/v1
https://doi.org/10.21203/rs.3.rs-2298843/v1