67 results  1 of 4 

1 Data Modeling Using Vital Sign Dynamics for In-hospital Mortality Classification in Patients with Acute Coronary Syndrome
Sarawuth Limprasert, Ajchara Phu-ang
Healthc Inform Res.2023;29(2):120-131.   2023 April     DOI: http://dx.doi.org/10.4258/hir.2023.29.2.120
      
2 Keyword Network Analysis of Infusion Nursing from Posts on the Q&A Board in the Intravenous Nurses Café
Jeong Yun Park, Jinkyu Lee, Bora Hong
Healthc Inform Res.2023;29(1):75-83.   Published online 2023 January 31     DOI: http://dx.doi.org/10.4258/hir.2023.29.1.75
      
3 Cardiopulmonary resuscitation of infants at birth: predictable or unpredictable?
Mohammad Reza Zarkesh, Raheleh Moradi, Azam Orooji
Acute Crit Care.2022;37(3):438-453.   Published online 2022 August 29     DOI: http://dx.doi.org/10.4266/acc.2021.01501
      
4 Text Mining of Biomedical Articles Using the Konstanz Information Miner (KNIME) Platform: Hemolytic Uremic Syndrome as a Case Study
Ricardo A. Dorr, Juan J. Casal, Roxana Toriano
Healthc Inform Res.2022;28(3):276-283.   Published online 2022 July 31     DOI: http://dx.doi.org/10.4258/hir.2022.28.3.276
      
5 Topic and Trends of Public Perception and Sentiments of COVID-19 Pandemic in South Korea: A Text Mining Approach
Nahyun Kwon, Jongmin Oh, Eunhee Ha
Ewha Med J.2022;45(2):46-54.   Published online 2022 April 30     DOI: http://dx.doi.org/10.12771/emj.2022.45.2.46
      
6 ANNO: A General Annotation Tool for Bilingual Clinical Note Information Extraction
Kye Hwa Lee, Hyunsung Lee, Jin-Hyeok Park, Yi-Jun Kim, Youngho Lee
Healthc Inform Res.2022;28(1):89-94.   Published online 2022 January 31     DOI: http://dx.doi.org/10.4258/hir.2022.28.1.89
      
7 Concerns of Thalassemia Patients, Carriers, and their Caregivers in Malaysia: Text Mining Information Shared on Social Media
Yuen Chi Phang, Azleena Mohd Kassim, Ernest Mangantig
Healthc Inform Res.2021;27(3):200-213.   Published online 2021 July 31     DOI: http://dx.doi.org/10.4258/hir.2021.27.3.200
      
8 Mortality Prediction from Hospital-Acquired Infections in Trauma Patients Using an Unbalanced Dataset
Mehrdad Karajizadeh, Mahdi Nasiri, Mahnaz Yadollahi, Amir Hussain Zolfaghari, Ali Pakdam
Healthc Inform Res.2020;26(4):284-294.   Published online 2020 October 31     DOI: http://dx.doi.org/10.4258/hir.2020.26.4.284
      
9 Determining Public Opinion of the COVID-19 Pandemic in South Korea and Japan: Social Network Mining on Twitter
Hocheol Lee, Eun Bi Noh, Sea Hwan Choi, Bo Zhao, Eun Woo Nam
Healthc Inform Res.2020;26(4):335-343.   Published online 2020 October 31     DOI: http://dx.doi.org/10.4258/hir.2020.26.4.335
      
10 Qualitative and Quantitative Analysis of Definitions of e-Health and m-Health
David Hallberg, Narges Salimi
Healthc Inform Res.2020;26(2):119-128.   Published online 2020 April 30     DOI: http://dx.doi.org/10.4258/hir.2020.26.2.119
      
11 A Topic Modeling Analysis for Online News Article Comments on Nurses' Workplace Bullying
Jiyeon Kang, Soogyeong Kim, Seungkook Roh
J Korean Acad Nurs.2019;49(6):736-747.   Published online 2019 December 30     DOI: http://dx.doi.org/10.4040/jkan.2019.49.6.736
      
12 Classification of Common Relationships Based on Short Tandem Repeat Profiles Using Data Mining
Su Jin Jeong, Hyo Jung Lee, Soong Deok Lee, Seung Hwan Lee, Su Jeong Park, Jong Sik Kim, Jae Won Lee
Korean J Leg Med.2019;43(3):97-105.   Published online 2019 August 31     DOI: http://dx.doi.org/10.7580/kjlm.2019.43.3.97
      
13 Evaluation of Food Labeling Policy in Korea: Analyzing the Community Health Survey 2014–2017
Heui Sug Jo, Su Mi Jung
J Korean Med Sci.2019;34(32):e211.  Published online 2019 July 29     DOI: http://dx.doi.org/10.3346/jkms.2019.34.e211
      
14 Analyzing and Visualizing Knowledge Structures of Health Informatics from 1974 to 2018: A Bibliometric and Social Network Analysis
Tahereh Saheb, Mohammad Saheb
Healthc Inform Res.2019;25(2):61-72.   Published online 2019 April 30     DOI: http://dx.doi.org/10.4258/hir.2019.25.2.61
      
15 Health Information Technology Trends in Social Media: Using Twitter Data
Jisan Lee, Jeongeun Kim, Yeong Joo Hong, Meihua Piao, Ahjung Byun, Healim Song, Hyeong Suk Lee
Healthc Inform Res.2019;25(2):99-105.   Published online 2019 April 30     DOI: http://dx.doi.org/10.4258/hir.2019.25.2.99
      
16 Development and Evaluation of Electronic Health Record Data-Driven Predictive Models for Pressure Ulcers
Seul Ki Park, Hyeoun-Ae Park, Hee Hwang
J Korean Acad Nurs.2019;49(5):575-585.   Published online 2019 January 15     DOI: http://dx.doi.org/10.4040/jkan.2019.49.5.575
   
17 Identification and Validation of Circulating MicroRNA Signatures for Breast Cancer Early Detection Based on Large Scale Tissue-Derived Data
Xiaokang Yu, Jinsheng Liang, Jiarui Xu, Xingsong Li, Shan Xing, Huilan Li, Wanli Liu, Dongdong Liu, Jianhua Xu, Lizhen Huang, Hongli Du
J Breast Cancer.2018;21(4):363-370.   Published online 2018 December 10     DOI: http://dx.doi.org/10.4048/jbc.2018.21.e56
      
18 Systematic Review of Data Mining Applications in Patient-Centered Mobile-Based Information Systems
Mina Fallah, Sharareh R. Niakan Kalhori
Healthc Inform Res.2017;23(4):262-270.   Published online 2017 October 31     DOI: http://dx.doi.org/10.4258/hir.2017.23.4.262
      
19 Prediction of Kidney Graft Rejection Using Artificial Neural Network
Leili Tapak, Omid Hamidi, Payam Amini, Jalal Poorolajal
Healthc Inform Res.2017;23(4):277-284.   Published online 2017 October 31     DOI: http://dx.doi.org/10.4258/hir.2017.23.4.277
      
20 A Personalized and Learning Approach for Identifying Drugs with Adverse Events
Sug Kyun Shin, Ho Hur, Eun Kyung Cheon, Ock Hee Oh, Jeong Seon Lee, Woo Jin Ko, Beom Seok Kim, YoungOk Kwon
Yonsei Med J.2017;58(6):1229-1236.   Published online 2017 September 28     DOI: http://dx.doi.org/10.3349/ymj.2017.58.6.1229
      

 1 of 4