- Intention-to-treat versus as-treated versus per-protocol approaches to analysis
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Ahn E, Kang H
- KMID: 2548322
- Korean J Anesthesiol.
- 2023 Dec;76(6):531-539.
- doi: 10.4097/kja.23278
Randomized controlled trials (RCTs) are considered the most rigorous study design for testing hypotheses and the gold standard for evaluating intervention effectiveness. However, RCTs are often conducted under the assumption... -
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- Discontinuation of antiplatelet therapy after stent-assisted coil embolization for cerebral aneurysms
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Kim TG
- KMID: 2543509
- J Cerebrovasc Endovasc Neurosurg.
- 2023 Jun;25(2):132-142.
- doi: 10.7461/jcen.2023.E2022.10.009
Objective: Dual antiplatelet therapy (DAPT) is usually temporarily used after stent-assisted coil embolization (SACE), and is commonly converted to mono antiplatelet therapy (MAPT) for indefinitely. In this study, we aimed... -
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- Are Only p-Values Less Than 0.05 Significant? A p-Value Greater Than 0.05 Is Also Significant!
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Kwak S
- KMID: 2542824
- J Lipid Atheroscler.
- 2023 May;12(2):89-95.
- doi: 10.12997/jla.2023.12.2.89
Statistical hypothesis testing compares the significance probability value and the significance level value to determine whether or not to reject the null hypothesis. This concludes “significant or not significant.” However,... -
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- Improvement of Dialysis Dosing Using Big Data Analytics
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Mumtaz SL, Shamayleh A, Alshraideh H, Guella A
- KMID: 2542144
- Healthc Inform Res.
- 2023 Apr;29(2):174-185.
- doi: 10.4258/hir.2023.29.2.174
Objectives: Large amounts of healthcare data are now generated via patient health records, records of diagnosis and treatment, smart devices, and wearables. Extracting insights from such data can transform healthcare... -
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- Comparison of Recent Trends in Study Design and Data Analysis Guidelines Using Real-World Data/Real-World Evidence in the United States, Europe, and South Korea and Implication of Development Direction in Future
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Jeon M, Ha M, Sung H, Lee H, Song J, Shin JY
- KMID: 2544373
- Pharmacoepidemiol Risk Manage.
- 2023 Mar;15(1):11-22.
- doi: 10.56142/perm.23.0004
After enacting the 21st Century Cures Act of 2016, real-world data (RWD) and realworld evidence (RWE) have been increasingly used to support drug development and approval worldwide. The importance of... -
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- Discovery of Intentional Self-Harm Patterns from Suicide and Self-Harm Surveillance Reports
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Vichianchai V, Kasemvilas S
- KMID: 2535807
- Healthc Inform Res.
- 2022 Oct;28(4):319-331.
- doi: 10.4258/hir.2022.28.4.319
Objectives: The purpose of this study was to identify patterns of self-harm risk factors from suicide and self-harm surveillance reports in Thailand. Methods: This study analyzed data from suicide and self-harm... -
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- Cancer Risk Score Prediction Based on a Single-Nucleotide Polymorphism Network
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Mahesworo B, Budiarto A, Hidayat AA, Pardamean B
- KMID: 2532452
- Healthc Inform Res.
- 2022 Jul;28(3):247-255.
- doi: 10.4258/hir.2022.28.3.247
Objectives: Genome-wide association studies (GWAS) are performed to study the associations between genetic variants with respect to certain phenotypic traits such as cancer. However, the method that is commonly used... -
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- Big data analysis and artificial intelligence in epilepsy – common data model analysis and machine learning-based seizure detection and forecasting
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Chung YG, Jeon Y, Yoo S, Kim H, Hwang H
- KMID: 2530168
- Clin Exp Pediatr.
- 2022 Jun;65(6):272-282.
- doi: 10.3345/cep.2021.00766
There has been significant interest in big data analysis and artificial intelligence (AI) in medicine. Ever-increasing medical data and advanced computing power have enabled the number of big data analyses... -
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- Predicting Hospital Readmission in Heart Failure Patients in Iran: A Comparison of Various Machine Learning Methods
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Najafi-Vosough R, Faradmal J, Hosseini SK, Moghimbeigi A, Mahjub H
- KMID: 2522212
- Healthc Inform Res.
- 2021 Oct;27(4):307-314.
- doi: 10.4258/hir.2021.27.4.307
Objectives: Heart failure (HF) is a common disease with a high hospital readmission rate. This study considered class imbalance and missing data, which are two common issues in medical data.... -
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- Estimating the Optimal Dexketoprofen Pharmaceutical Formulation with Machine Learning Methods and Statistical Approaches
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Başkor A, Tok YP, Mesut B, Özsoy Y, Uçar T
- KMID: 2522209
- Healthc Inform Res.
- 2021 Oct;27(4):279-286.
- doi: 10.4258/hir.2021.27.4.279
Objectives: Orally disintegrating tablets (ODTs) can be utilized without any drinking water; this feature makes ODTs easy to use and suitable for specific groups of patients. Oral administration of drugs... -
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- Orbital floor fracture repair with implants: a retrospective study
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Lee YJ
- KMID: 2519641
- Arch Craniofac Surg.
- 2021 Aug;22(4):177-182.
- doi: 10.7181/acfs.2020.00640
Background: Although prompt surgery after an orbital fracture is preferable, the actual timing of surgery in real-world settings varies. Therefore, this study investigated the outcomes of implant surgery for inferior... -
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- Impact of the Choice of Cross-Validation Techniques on the Results of Machine Learning-Based Diagnostic Applications
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Tougui I, Jilbab A, Mhamdi JE
- KMID: 2519035
- Healthc Inform Res.
- 2021 Jul;27(3):189-199.
- doi: 10.4258/hir.2021.27.3.189
Objectives: With advances in data availability and computing capabilities, artificial intelligence and machine learning technologies have evolved rapidly in recent years. Researchers have taken advantage of these developments in healthcare... -
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- Study on Risk Factors of Peripheral Neuropathy in Type 2 Diabetes Mellitus and Establishment of Prediction Model
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Wu B, Niu Z, Hu F
- KMID: 2518895
- Diabetes Metab J.
- 2021 Jul;45(4):526-538.
- doi: 10.4093/dmj.2020.0100
Background: Diabetic peripheral neuropathy (DPN) is one of the most serious complications of type 2 diabetes mellitus (T2DM). DPN increases the risk of ulcers, foot infections, and noninvasive amputations, ultimately... -
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- Zootechnical data analysis in a breeding animal facility: tracing the patterns of mouse production
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Ferreira EKGD, Mazzarotto GACA, Silveira GF
- KMID: 2514373
- Lab Anim Res.
- 2021 Mar;37(1):32-43.
- doi: 10.1186/s42826-020-00082-w
Background: With the enactment of the Brazilian Law Arouca 11,794/2008 and Decree 6.899/2009, there has been an urgent need for changes in the processes related to animal experimentation in Brazil;... -
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- Analysis of Circadian Rhythms in the Research of Psychiatric Disorders
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Kim SY, Moon E, Jeong HJ
- KMID: 2513150
- J Korean Soc Biol Ther Psychiatry.
- 2021 Feb;27(1):5-11.
In the field of psychiatry, studies on circadian rhythms are increasing. This research trend is based on the emerging evidence on the relationship between circadian rhythm and pathophysiology and prognosis... -
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- The accuracy and consistency of mastery for each content domain using the Rasch and deterministic inputs, noisy “and” gate diagnostic classification models: a simulation study and a real-world analysis using data from the Korean Medical Licensing Examination
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Seo DG, Kim JK
- KMID: 2520601
- J Educ Eval Health Prof.
- 2021;18(1):15.
- doi: 10.3352/jeehp.2021.18.15
Purpose: Diagnostic classification models (DCMs) were developed to identify the mastery or non-mastery of the attributes required for solving test items, but their application has been limited to very low-level... -
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- Understanding of Rehabilitation Nursing based on Academic Big Data Analysis
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Bae JH, Burm EA
- KMID: 2519093
- Korean J Rehabil Nurs.
- 2020 Dec;23(2):105-111.
- doi: 10.7587/kjrehn.2020.105
Purpose: The purpose of this study was to provide high-quality rehabilitation nursing through the analysis of academic big data in domestic rehabilitation nursing and to provide basic data for preparing... -
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- Data Augmentation Techniques for Deep Learning-Based Medical Image Analyses
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Kim M, Bae HJ
- KMID: 2509095
- J Korean Soc Radiol.
- 2020 Nov;81(6):1290-1304.
- doi: 10.3348/jksr.2020.0158
Medical image analyses have been widely used to differentiate normal and abnormal cases, detect lesions, segment organs, etc. Recently, owing to many breakthroughs in artificial intelligence techniques, medical image analyses... -
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- Reporting Survey Based Studies – a Primer for Authors
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Gaur PS, Zimba O, Agarwal V, Gupta L
- KMID: 2508806
- J Korean Med Sci.
- 2020 Nov;35(45):e398.
- doi: 10.3346/jkms.2020.35.e398
The coronavirus disease 2019 (COVID-19) pandemic has led to a massive rise in survey-based research. The paucity of perspicuous guidelines for conducting surveys may pose a challenge to the conduct... -
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- The trend of prevalence of pain in Korea from 2005 to 2016
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Cho SH, Kim YM, Lee JH, Kim HS, Song JS
- KMID: 2507141
- Korean J Pain.
- 2020 Oct;33(4):352-358.
- doi: 10.3344/kjp.2020.33.4.352
Background: Korean society is afflicted with rapid aging. Aging is a risk factor for pain, and pain can reduce patients’ quality of life. Thus, adequate management and monitoring of changing... -
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