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Kyu-Nam Heo

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Articles 20
Citations 31
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Recent Articles
1.
Jeong J, Heo K, Lee S, Ah Y, Min S, Han J, et al.
Front Pharmacol . 2024 Oct; 15:1399955. PMID: 39364053
Background: Oral anticoagulants (OACs) are essential for the prevention and treatment of thromboembolic disorders, but bleeding, a major complication, can have a fatal impact on the patient's treatment. Objectives: We...
2.
Jeong J, Park S, Heo K, Park S, Min S, Ah Y, et al.
Ther Adv Med Oncol . 2024 Aug; 16:17588359241272970. PMID: 39206378
Background: The rising global incidence of cancer has increased the demand for chemotherapy, which is a crucial treatment modality. Recent advancements in cancer treatment, including targeted agents and immunotherapy, have...
3.
Han J, Heo K, Kim A, Lee A, Min S, Ah Y, et al.
Pharmacoepidemiol Drug Saf . 2024 May; 33(6):e5819. PMID: 38783417
Purpose: This study aimed to perform a nationwide analysis of medication errors (MEs) from hospitals using national reporting system data and to compare the ME patterns among different age groups....
4.
Jang B, Jeong J, Heo K, Koh Y, Lee J
Blood Res . 2024 Mar; 59(1):3. PMID: 38485811
Background: Although most studies on the cardiovascular toxicity of proteasome inhibitors have focused on carfilzomib, the risk of cardiotoxicity associated with bortezomib remains controversial. This study aimed to evaluate the...
5.
Lee M, Heo K, Lee S, Ah Y, Shin J, Lee J
Arch Gerontol Geriatr . 2024 Feb; 120:105332. PMID: 38382232
Background: Older adults are at an increased risk of acute kidney injury (AKI), particularly in community settings, often due to medications. Effective prevention hinges on identifying high-risk patients, yet existing...
6.
Suh Y, Jeong J, Park S, Heo K, Lee M, Ah Y, et al.
Sci Rep . 2024 Jan; 14(1):1485. PMID: 38233529
This study developed and validated a risk-scoring model, with a particular emphasis on medication-related factors, to predict emergency department (ED) visits among older Korean adults (aged 65 and older) undergoing...
7.
Heo K, Seok J, Ah Y, Kim K, Lee S, Lee J
BMC Geriatr . 2023 Dec; 23(1):830. PMID: 38082380
Background: Falls impact over 25% of older adults annually, making fall prevention a critical public health focus. We aimed to develop and validate a machine learning-based prediction model for serious...
8.
Tran-The T, Heo E, Lim S, Suh Y, Heo K, Lee E, et al.
Int J Med Inform . 2023 Nov; 181:105300. PMID: 37995386
Background: Antibiotic stewardship programs (ASP) aim to reduce inappropriate use of antibiotics, but their labor-intensive nature impedes their wide adoption. The present study introduces explainable machine learning (ML) models designed...
9.
Noh Y, Heo K, Cho W, Lee J, Ah Y
Pain Pract . 2023 Nov; 24(3):458-471. PMID: 37983898
Background: Chronic opioid use is associated with problematic opioid use, such as opioid abuse. It is important to develop a prediction model for safe opioid use. In this study, we...
10.
Park S, Kim A, Chae H, Heo K, Kim Y, Kim S, et al.
Healthcare (Basel) . 2023 Jun; 11(12). PMID: 37372896
Medication reconciliation (MR), which is widely implemented worldwide, aims to improve patient safety to reduce the medication errors during care transition. Despite its widespread use, MR has not yet been...