- Healthcare Informatics Research's Journey of Paving the Road to Excellence in Global Healthcare Informatics
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Choi M, Kim JA
- KMID: 2418177
- Healthc Inform Res.
- 2018 Apr;24(2):95-96.
- doi: 10.4258/hir.2018.24.2.95
No abstract available. -
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- HEDEA: A Python Tool for Extracting and Analysing Semi-structured Information from Medical Records
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Aggarwal A, Garhwal S, Kumar A
- KMID: 2418183
- Healthc Inform Res.
- 2018 Apr;24(2):148-153.
- doi: 10.4258/hir.2018.24.2.148
OBJECTIVES: One of the most important functions for a medical practitioner while treating a patient is to study the patient's complete medical history by going through all records, from test... -
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- Using Statistical and Machine Learning Methods to Evaluate the Prognostic Accuracy of SIRS and qSOFA
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Gupta A, Liu T, Shepherd S, Paiva W
- KMID: 2418182
- Healthc Inform Res.
- 2018 Apr;24(2):139-147.
- doi: 10.4258/hir.2018.24.2.139
OBJECTIVES: The objective of this study was to compare the performance of two popularly used early sepsis diagnostic criteria, systemic inflammatory response syndrome (SIRS) and quick Sepsis-related Organ Failure Assessment... -
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- Mobile Technology in Undergraduate Nursing Education: A Systematic Review
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Lee H, Min H, Oh SM, Shim K
- KMID: 2418178
- Healthc Inform Res.
- 2018 Apr;24(2):97-108.
- doi: 10.4258/hir.2018.24.2.97
OBJECTIVES: This study aimed to identify and systematically review the literature on the use of mobile technology in nursing education. The research findings could evidence the effectiveness of mobile technology... -
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- Development of the IMB Model and an Evidence-Based Diabetes Self-management Mobile Application
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Jeon E, Park HA
- KMID: 2418181
- Healthc Inform Res.
- 2018 Apr;24(2):125-138.
- doi: 10.4258/hir.2018.24.2.125
OBJECTIVES: This study developed a diabetes self-management mobile application based on the information-motivation-behavioral skills (IMB) model, evidence extracted from clinical practice guidelines, and requirements identified through focus group interviews (FGIs)... -
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- Predicting Length of Stay in Intensive Care Units after Cardiac Surgery: Comparison of Artificial Neural Networks and Adaptive Neuro-fuzzy System
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Maharlou H, Niakan Kalhori SR, Shahbazi S, Ravangard
- KMID: 2418179
- Healthc Inform Res.
- 2018 Apr;24(2):109-117.
- doi: 10.4258/hir.2018.24.2.109
OBJECTIVES: Accurate prediction of patients' length of stay is highly important. This study compared the performance of artificial neural network and adaptive neuro-fuzzy system algorithms to predict patients' length of... -
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- Evaluation of the IngVaL Pedobarography System for Monitoring of Walking Speed
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Hellstrom , Åkerberg , Ekström M, Folke M
- KMID: 2418180
- Healthc Inform Res.
- 2018 Apr;24(2):118-124.
- doi: 10.4258/hir.2018.24.2.118
OBJECTIVES: Walking speed is an important component of movement and is a predictor of health in the elderly. Pedobarography, the study of forces acting between the plantar surface of the... -
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