- Beyond Data: Actionable AI — Review of the 2023 Fall Conference of the Korean Society of Medical Informatics
-
Lee Y, Ko T, Yang K, on behalf of the KOSMI’s Academic Committee
- KMID: 2551855
- Healthc Inform Res.
- 2024 Jan;30(1):1-2.
- doi: 10.4258/hir.2024.30.1.1
-
- CITED
-
- Close
- SHARE
-
- Close
- Impact of the Lightwave Health Information Management Software on the Dimensions of Quality of Healthcare Data
-
Amoateng CNA, Achampong EK
- KMID: 2551858
- Healthc Inform Res.
- 2024 Jan;30(1):35-41.
- doi: 10.4258/hir.2024.30.1.35
Objectives: The use of technology in healthcare to manage patient records, guide diagnosis, and make referrals is termed electronic healthcare. An electronic health record system called Lightwave Health Information Management... -
- CITED
-
- Close
- SHARE
-
- Close
- Fostering Digital Health in Universities: An Experience of the First Junior Scientific Committee of the Brazilian Congress of Health Informatics
-
Pantaleao AN, Mennitti AL, Brunheroto FB, Stavis V, Ricoboni LT, Castro VAFd, Ferreira OF, Lage EM, Carvalho DR, Fernandes AMdR, Gaspar JdS
- KMID: 2551863
- Healthc Inform Res.
- 2024 Jan;30(1):83-89.
- doi: 10.4258/hir.2024.30.1.83
Objectives: Digital health (DH) is a revolution driven by digital technologies to improve health. Despite the importance of DH, curricular updates in healthcare university programs are scarce, and DH remains... -
- CITED
-
- Close
- SHARE
-
- Close
- Review of Qualitative Research Methods in Health Information System Studies
-
Park K, Moon W
- KMID: 2551857
- Healthc Inform Res.
- 2024 Jan;30(1):16-34.
- doi: 10.4258/hir.2024.30.1.16
Objectives: The aim of this study was to review hospital-based health information system (HIS) studies that used qualitative research methods and evaluate their methodological contexts and implications. In addition, we... -
- CITED
-
- Close
- SHARE
-
- Close
- Survey of Medical Applications of Federated Learning
-
Choi G, Cha WC, Lee SU, Shin SY
- KMID: 2551856
- Healthc Inform Res.
- 2024 Jan;30(1):3-15.
- doi: 10.4258/hir.2024.30.1.3
Objectives: Medical artificial intelligence (AI) has recently attracted considerable attention. However, training medical AI models is challenging due to privacy-protection regulations. Among the proposed solutions, federated learning (FL) stands out.... -
- CITED
-
- Close
- SHARE
-
- Close
- Deep Learning Model and its Application for the Diagnosis of Exudative Pharyngitis
-
Chng SY, Tern PJW, Kan MRX, Cheng LTE
- KMID: 2551859
- Healthc Inform Res.
- 2024 Jan;30(1):42-48.
- doi: 10.4258/hir.2024.30.1.42
Objectives: Telemedicine is firmly established in the healthcare landscape of many countries. Acute respiratory infections are the most common reason for telemedicine consultations. A throat examination is important for diagnosing... -
- CITED
-
- Close
- SHARE
-
- Close
- Prediction of Cervical Cancer Patients’ Survival Period with Machine Learning Techniques
-
Chanudom I, Tharavichitkul E, Laosiritaworn W
- KMID: 2551861
- Healthc Inform Res.
- 2024 Jan;30(1):60-72.
- doi: 10.4258/hir.2024.30.1.60
Objectives: The objective of this research is to apply machine learning (ML) algorithms to predict the survival of cervical cancer patients. The aim was to address the limitations of traditional... -
- CITED
-
- Close
- SHARE
-
- Close
- Prediction of Diabetes Using Data Mining and Machine Learning Algorithms: A Cross-Sectional Study
-
Shojaee-Mend H, Velayati F, Tayefi B, Babaee E
- KMID: 2551862
- Healthc Inform Res.
- 2024 Jan;30(1):73-82.
- doi: 10.4258/hir.2024.30.1.73
Objectives: This study aimed to develop a model to predict fasting blood glucose status using machine learning and data mining, since the early diagnosis and treatment of diabetes can improve... -
- CITED
-
- Close
- SHARE
-
- Close
- Technological Challenges and Solutions in Emergency Remote Teaching for Nursing: An International Cross-Sectional Survey
-
Jeon E, Peltonen LM, Block LJ, Ronquillo C, Tayaben JL, Nibber R, Pruinelli L, Perezmitre EL, Sommer J, Topaz M, Eler GJ, Shishido HY, Wardaningsih S, Sutantri S, Ali S, Alhuwail D, Abd-Alrazaq A, Akhu-Zaheya L, Lee YL, Shu SH, Lee J
- KMID: 2551860
- Healthc Inform Res.
- 2024 Jan;30(1):49-59.
- doi: 10.4258/hir.2024.30.1.49
Objectives: With the sudden global shift to online learning modalities, this study aimed to understand the unique challenges and experiences of emergency remote teaching (ERT) in nursing education. Methods: We conducted... -
- CITED
-
- Close
- SHARE
-
- Close
