AIMC Topic: Republic of Korea

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Prediction models for high risk of suicide in Korean adolescents using machine learning techniques.

PloS one Jun 6, 2019
OBJECTIVE: Suicide in adolescents is a major problem worldwide and previous history of suicide ideation and attempt represents the strongest predictors of future suicidal behavior. The aim of this study was to develop prediction model to identify Kor...
Adolescent Suicide ROC Curve Logistic Models Models, Theoretical Multivariate Analysis Machine Learning Republic of Korea Female Risk Factors Male Humans
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Comparison of robot-assisted modified radical neck dissection using a bilateral axillary breast approach with a conventional open procedure after propensity score matching.

Surgical endoscopy May 7, 2019
BACKGROUND: There is ongoing debate about whether or not robot-assisted thyroidectomy is appropriate for modified radical neck dissection (MRND). The purpose of this study was to compare the surgical outcomes of robot-assisted MRND with those of a co...
Propensity Score Carcinoma, Papillary Neck Dissection Lymphatic Metastasis Axilla Operative Time Humans Robotics Retrospective Studies Republic of Korea Breast Thyroidectomy Female Thyroid Neoplasms Adult Lymph Nodes Male Middle Aged Postoperative Complications Incidence
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Research on Patient Satisfaction of Robotic Telerounding: A Pilot Study in a Korean Population.

Urology May 3, 2019
OBJECTIVES: To evaluate the efficacy and functionality of robotic telerounding among Korean patients using the RP-7 robot system and a questionnaire survey comparing the results of robotic telerounding and standard rounding in Korean patients.
Humans Republic of Korea Robotics Female Self Report Aged Patient Satisfaction Telemedicine Male Urologic Surgical Procedures Middle Aged Teaching Rounds Pilot Projects
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Early experience with Watson for oncology in Korean patients with colorectal cancer.

PloS one Mar 25, 2019
BACKGROUND: Watson for oncology (WFO) is a cognitive computing system providing decision support. We evaluated the concordance rates between the treatment options determined by WFO and those determined by a multidisciplinary team (MDT).
Aged, 80 and over Adult Colorectal Neoplasms Male Middle Aged Retrospective Studies Republic of Korea Female Reproducibility of Results Aged Medical Oncology Practice Guidelines as Topic Patient Care Team Interdisciplinary Communication User-Computer Interface Decision Support Systems, Clinical Treatment Outcome Neoplasm Staging Expert Systems Humans Software Algorithms Computers
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Hybrid multivariate pattern analysis combined with extreme learning machine for Alzheimer's dementia diagnosis using multi-measure rs-fMRI spatial patterns.

PloS one Feb 22, 2019
BACKGROUND: Early diagnosis of Alzheimer's disease (AD) and Mild Cognitive Impairment (MCI) is essential for timely treatment. Machine learning and multivariate pattern analysis (MVPA) for the diagnosis of brain disorders are explicitly attracting at...
Humans Republic of Korea Support Vector Machine Magnetic Resonance Imaging Brain Mapping Female Alzheimer Disease Aged Aged, 80 and over Male Cognitive Dysfunction
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Association of time to colonoscopy after a positive fecal test result and fecal hemoglobin concentration with risk of advanced colorectal neoplasia.

Digestive and liver disease : official journal of the Italian Society of Gastroenterology and the Italian Association for the Study of the Liver Dec 23, 2018
BACKGROUND: We evaluated the risk of advanced colorectal neoplasia (ACRN) and colorectal cancer (CRC) according to time to colonoscopy after positive fecal immunochemical test (FIT), fecal hemoglobin concentration, and combination of both.
Feces Time-to-Treatment Humans Male Logistic Models Multivariate Analysis Republic of Korea Middle Aged Early Detection of Cancer Occult Blood Female Risk Assessment Neoplasm Staging Aged Hemoglobins Colon Colorectal Neoplasms Colonoscopy
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Sequential prediction of quantitative health risk assessment for the fine particulate matter in an underground facility using deep recurrent neural networks.

Ecotoxicology and environmental safety Nov 17, 2018
Particulate matter with aerodynamic diameter less than 2.5 µm (PM) in indoor public spaces such as subway stations, has represented a major public health concern; however, forecasting future sequences of quantitative health risk is an effective metho...
Humans Risk Assessment Environmental Monitoring Air Pollutants Neural Networks, Computer Forecasting Republic of Korea Air Pollution, Indoor Particulate Matter Railroads
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Machine learning assessment of myocardial ischemia using angiography: Development and retrospective validation.

PLoS medicine Nov 13, 2018
BACKGROUND: Invasive fractional flow reserve (FFR) is a standard tool for identifying ischemia-producing coronary stenosis. However, in clinical practice, over 70% of treatment decisions still rely on visual estimation of angiographic stenosis, which...
Myocardial Ischemia Cardiac Catheterization Coronary Stenosis Fractional Flow Reserve, Myocardial Reproducibility of Results Aged Male Middle Aged Severity of Illness Index Ultrasonography, Interventional Radiographic Image Interpretation, Computer-Assisted Coronary Vessels Diagnosis, Computer-Assisted Predictive Value of Tests Coronary Angiography Prognosis Retrospective Studies Clinical Decision-Making Republic of Korea Female Humans Machine Learning
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A predictive model for high/low risk group according to oncotype DX recurrence score using machine learning.

European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology Oct 16, 2018
BACKGROUND: Oncotype DX(ODX) is a 21-gene breast cancer recurrence score(RS) assay that aids in decision-making for chemotherapy in early-stage hormone receptor-positive(HR+)breast cancer. We developed a prediction tool using machine learning for hig...
Predictive Value of Tests Neoplasm Staging Neoplasm Grading Patient Selection Biomarkers, Tumor Middle Aged Risk Assessment Neoplasm Invasiveness Decision Making Republic of Korea Female Aged Adult Breast Neoplasms Humans Machine Learning Retrospective Studies
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Validation of deep-learning-based triage and acuity score using a large national dataset.

PloS one Oct 15, 2018
AIM: Triage is important in identifying high-risk patients amongst many less urgent patients as emergency department (ED) overcrowding has become a national crisis recently. This study aims to validate that a Deep-learning-based Triage and Acuity Sco...
Adult Male Middle Aged Severity of Illness Index Deep Learning Retrospective Studies Republic of Korea Female Reproducibility of Results Aged Emergency Service, Hospital Risk Emergency Medicine Cohort Studies Hospital Mortality Humans ROC Curve Databases, Factual Triage Area Under Curve
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