ScholarWorks@Korea University College of Medicine: Lee, Kwang Sig

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Lee, Kwang Sig (이광식)

Research Institute (Institute of Human Behavior and Genetics)

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machine learning:9||Artificial intelligence:6||artificial intelligence:5||preterm birth:4||Machine learning:4||early diagnosis:4||gastrointestinal disease:4||Periodontitis:3||Premature Birth:2||newborn:2||Diagnosis:2||spinal cord injury:2||Fetus:2||convolutional neural network:2||Gastroesophageal Reflux:2||Particulate matter:2||COVID19:2||random forest:2||recurrent neural network:2||Preterm birth:2||blood transfusion:2||body mass index:2||Age:2||Deep learning:1||Depression:1||Detection:1||Diabetes:1||Diabetes Mellitus:1||Diabetes mellitus:1||Disease:1||Early diagnosis:1||Estimated fetal weight:1||Explainable AI:1||Explainable machine learning:1||Gender:1||Gingival index:1||Graph machine learning:1||Hearing Loss:1||Hearing loss:1||Hot Flashes:1||Hypertension:1||Immune Thrombocytopenia:1||Infant:1||Lasso:1||Life satisfaction:1||Liver transplantation:1||Machine learning analysis:1||Magnetic resonance imaging:1||Mean arterial pressure:1||Menopause Age:1||Mental health:1||Mobile application:1||Mobilenet:1||Monocyte:1||Mother:1||Neighborhood condition:1||Neoplasm:1||Neurological outcomes:1||Newborn:1||Nitrogen:1||Old population:1||Pancreatic cancer:1||Perfusion imaging:1||Platelet transfusion:1||Postcardiac arrest care:1||Pregnancy:1||Pregnancy outcome:1||Preterm Birth:1||Preterm labor:1||Prevention:1||Prior Conization:1||Procedure:1||Proton pump inhibitors:1||Realtime classification:1||Recurrence:1||Residual networks:1||Resnet:1||Ridge:1||SHAP:1||Segmentation:1||Sleeping pills:1||Social Determinant:1||Social determinant:1||Socioeconomic Status:1||Socioeconomic satisfaction:1||Subjective class:1||Survival:1||Systematic hyperparameter selection:1||Thyroid Stimulating Hormone:1||Vaccination:1||Vaginal dryness:1||Vasomotor Symptoms:1||Visual impairment:1||abdominal circumference:1||amino acid sequence:1||arrhythmia:1||artificial neural networks:1||association:1||autism spectrum disorder:1||bidirectional encoder representation from transformers:1||big data:1||breast neoplasms:1||cardiopulmonary resuscitation:1||cerebral oxygen saturation:1||cerebrovascular disease:1||cognitive impairment:1||compressed deep learning:1||computed tomography:1||decision support system:1||deep learning:1||depression:1||electrocardiogram:1||embedded wearable device:1||estimated fetal weight:1||explainable artificial intelligence:1||functional ambulation category:1||gait recovery:1||genetic data:1||hearing loss:1||height:1||hip arthroplasty:1||hospitalization:1||inflammation marker:1||inflammatory bowel disease:1||knowledgebased:1||linear regression:1||machine learning analysis:1||menopause age:1||mortality:1||multimodal cerebral oximeter:1||myocardial infarction:1||neuroimaging:1||neurological outcome:1||outofhospital cardiac arrest:1||paratope:1||particulate matter:1||perfusion analysis:1||perioperative transfusion:1||population data:1||prediction:1||prediction algorithm:1||prediction model:1||predictive artificial intelligence:1||preterm delivery:1||prospective studies:1||proton pump inhibitors:1||review:1||rhythm classification:1||risk factors:1||salivary gland disease:1||sex:1||single nucleotide polymorphism:1||social determinant:1||soft tissue sarcoma:1||somatosensory evoked potential:1||texture analysis:1||thyroid:1||thyroid stimulating hormone:1||ulcerative colitis:1||weight:1||Abdominal circumference:1||wide and deep learning:1||Alex networks:1||Antidepressant:1||Antidepressants:1||Antidepressive agents:1||Association:1||Atrial fibrillation:1||B cell receptor:1||Biomarkers, tumor:1||Bleeding risk:1||Body mass index:1||Breast neoplasms:1||Breastfeeding:1||Cancer Antigen:1||Cardiac arrest:1||Cardiotocography:1||Cerebrovascular Disease:1||CervicalLength Screening:1||Cognitive Impairment:1||Colon:1||Colonoscopy:1||Convolutional neural networks:1||Crohn's disease:1||

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73, Goryeodae-ro, Seongbuk-gu, Seoul, Republic of Korea (02841)82-2-2286-1265

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