- Anesthesiologist’s Perspective on the Standardization of Clinical Terminology in Electronic Health Records
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Kim KO
- KMID: 2522217
- Healthc Inform Res.
- 2021 Oct;27(4):350-351.
- doi: 10.4258/hir.2021.27.4.350
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- Sharing Biomedical Data Obtained Through Government-Funded Research and Development Projects in Korea
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Hwang S, Kong HJ
- KMID: 2522207
- Healthc Inform Res.
- 2021 Oct;27(4):265-266.
- doi: 10.4258/hir.2021.27.4.265
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- Stakeholders’ Perceptions of the Implementation of a Patient-Centric Digital Health Application for Primary Healthcare in India
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Faujdar DS, Singh T, Kaur M, Sahay S, Kumar R
- KMID: 2522213
- Healthc Inform Res.
- 2021 Oct;27(4):315-324.
- doi: 10.4258/hir.2021.27.4.315
Objectives: Health systems are shifting from traditional methods of healthcare delivery to delivery using digital applications. This change was introduced at a primary care centre in Chandigarh, India that served... -
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- Research Development Using REDCap Software
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Garcia KKS, Abrahão AA
- KMID: 2522216
- Healthc Inform Res.
- 2021 Oct;27(4):341-349.
- doi: 10.4258/hir.2021.27.4.341
Objectives: High-quality clinical research is dependent on adequate design, methodology, and data collection. The utilization of electronic data capture (EDC) systems is recommended to optimize research data through proper management.... -
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- Mobile Health Technology and Healthcare Providers: Systemic Barriers to Adoption
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Zakerabasali S, Ayyoubzadeh SM, Baniasadi T, Yazdani A, Abhari S
- KMID: 2522208
- Healthc Inform Res.
- 2021 Oct;27(4):267-278.
- doi: 10.4258/hir.2021.27.4.267
Objectives: Despite the growing use of mobile health (mHealth), certain barriers seem to be hindering the use of mHealth applications in healthcare. This article presents a systematic review of the... -
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- Mapping the Korean National Health Checkup Questionnaire to Standard Terminologies
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Hwang JE, Park HA, Shin SY
- KMID: 2522210
- Healthc Inform Res.
- 2021 Oct;27(4):287-297.
- doi: 10.4258/hir.2021.27.4.287
Objectives: An increasing emphasis has been placed on the integration of clinical data and patient-generated health data (PGHD), which are generated outside of hospitals. This study explored the possibility of... -
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- Five-Class Classification of Cervical Pap Smear Images: A Study of CNN-Error-Correcting SVM Models
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Huong AKC, Tay KG, Ngu XTI
- KMID: 2522211
- Healthc Inform Res.
- 2021 Oct;27(4):298-306.
- doi: 10.4258/hir.2021.27.4.298
Objectives: Different complex strategies of fusing handcrafted descriptors and features from convolutional neural network (CNN) models have been studied, mainly for two-class Papanicolaou (Pap) smear image classification. This paper explores... -
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- Developing an Interactive Computer Program for Integrated Dental Education
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Chow AK, Sharmin N
- KMID: 2522215
- Healthc Inform Res.
- 2021 Oct;27(4):335-340.
- doi: 10.4258/hir.2021.27.4.335
Objectives: The knowledge of anatomy is an integral part of dental and medical education that builds the foundations of pathology, physiology, and other related disciplines. Traditional three-dimensional (3D) models used... -
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- Population Mobility, Lockdowns, and COVID-19 Control: An Analysis Based on Google Location Data and Doubling Time from India
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Periyasamy AG, Venkatesh U
- KMID: 2522214
- Healthc Inform Res.
- 2021 Oct;27(4):325-334.
- doi: 10.4258/hir.2021.27.4.325
Objectives: Physical distancing is a control measure against coronavirus disease 2019 (COVID-19). Lockdowns are a strategy to enforce physical distancing in urban areas, but they are drastic measures. Therefore, we... -
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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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