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1
Application of machine learning in rheumatic disease research
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Article
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Application of machine learning in rheumatic disease research

The Korean journal of internal medicine, 2019-07, Vol.34 (4), p.708-722 [Peer Reviewed Journal]

COPYRIGHT(C) KYOBO BOOK CENTRE ALL RIGHTS RESERVED ;ISSN: 1226-3303 ;EISSN: 2005-6648

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2
Machine learning models with time-series clinical features to predict radiographic progression in patients with ankylosing spondylitis
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Machine learning models with time-series clinical features to predict radiographic progression in patients with ankylosing spondylitis

Journal of rheumatic diseases, 2024-04, Vol.31 (2), p.97 [Peer Reviewed Journal]

ISSN: 2093-940X

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3
Identification of signature gene set as highly accurate determination of metabolic dysfunction-associated steatotic liver disease progression
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Identification of signature gene set as highly accurate determination of metabolic dysfunction-associated steatotic liver disease progression

Clinical and molecular hepatology, 2024-04, Vol.30 (2), p.247-262 [Peer Reviewed Journal]

COPYRIGHT(C) KYOBO BOOK CENTRE ALL RIGHTS RESERVED ;ISSN: 2287-2728 ;EISSN: 2287-285X

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4
Toward hepatitis C virus elimination using artificial intelligence
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Toward hepatitis C virus elimination using artificial intelligence

Clinical and molecular hepatology, 2024-04, Vol.30 (2), p.147-149 [Peer Reviewed Journal]

COPYRIGHT(C) KYOBO BOOK CENTRE ALL RIGHTS RESERVED ;ISSN: 2287-2728 ;EISSN: 2287-285X

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5
A machine learning-based prediction model of pelvic lymph node metastasis in women with early-stage cervical cancer
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A machine learning-based prediction model of pelvic lymph node metastasis in women with early-stage cervical cancer

Journal of gynecologic oncology, 2024-03, Vol.35 (2), p.1-12 [Peer Reviewed Journal]

COPYRIGHT(C) KYOBO BOOK CENTRE ALL RIGHTS RESERVED ;ISSN: 2005-0380 ;EISSN: 2005-0399

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6
Artificial intelligence predicts direct-acting antivirals failure among hepatitis C virus patients: A nationwide hepatitis C virus registry program
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Artificial intelligence predicts direct-acting antivirals failure among hepatitis C virus patients: A nationwide hepatitis C virus registry program

Clinical and molecular hepatology, 2024-01, Vol.30 (1), p.64 [Peer Reviewed Journal]

ISSN: 2287-2728 ;EISSN: 2287-285X

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7
머신러닝 기반 의사결정 나무를 활용한 성인의 잔존 치아 수 요인 분석
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Article
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머신러닝 기반 의사결정 나무를 활용한 성인의 잔존 치아 수 요인 분석

대한구강보건학회지, 2023-03, Vol.47 (1), p.26-31 [Peer Reviewed Journal]

COPYRIGHT(C) KYOBO BOOK CENTRE ALL RIGHTS RESERVED ;ISSN: 1225-388X

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8
Understanding and Application of Multi-Task Learning in Medical Artificial Intelligence
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Understanding and Application of Multi-Task Learning in Medical Artificial Intelligence

Journal of the Korean Society of Radiology, 2022-11, Vol.83 (6), p.1208-1218 [Peer Reviewed Journal]

Copyrights © 2022 The Korean Society of Radiology. ;ISSN: 1738-2637 ;EISSN: 2951-0805 ;EISSN: 2288-2928 ;DOI: 10.3348/jksr.2022.0155 ;PMID: 36545418

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9
머신러닝 기법을 이용한 당뇨병신경병증의 예측
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머신러닝 기법을 이용한 당뇨병신경병증의 예측

당뇨병(JKD), 2022-12, Vol.23 (4), p.238

ISSN: 2233-7431

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10
Prediction of Cardiovascular Complication in Patients with Newly Diagnosed Type 2 Diabetes Using an XGBoost/ GRU-ODE-Bayes-Based Machine-Learning Algorithm
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Prediction of Cardiovascular Complication in Patients with Newly Diagnosed Type 2 Diabetes Using an XGBoost/ GRU-ODE-Bayes-Based Machine-Learning Algorithm

Endocrinology and metabolism (Seoul), 2024-02, Vol.39 (1), p.176 [Peer Reviewed Journal]

ISSN: 2093-596X ;EISSN: 2093-5978

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11
Evolution of the Stethoscope: Advances with the Adoption of Machine Learning and Development of Wearable Devices
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Article
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Evolution of the Stethoscope: Advances with the Adoption of Machine Learning and Development of Wearable Devices

Tuberculosis and respiratory diseases, 2023-10, Vol.86 (4), p.251-263 [Peer Reviewed Journal]

ISSN: 1738-3536 ;EISSN: 2005-6184

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12
Underwater Acoustic Research Trends with Machine Learning: Ocean Parameter Inversion Applications
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Underwater Acoustic Research Trends with Machine Learning: Ocean Parameter Inversion Applications

한국해양공학회지, 2020, 34(5), 156, pp.371-376 [Peer Reviewed Journal]

ISSN: 1225-0767 ;EISSN: 2287-6715 ;DOI: 10.26748/KSOE.2020.016

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13
Development of Various Diabetes Prediction Models Using Machine Learning Techniques
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Development of Various Diabetes Prediction Models Using Machine Learning Techniques

Diabetes & metabolism journal, 2022-07, Vol.46 (4), p.650-657 [Peer Reviewed Journal]

COPYRIGHT(C) KYOBO BOOK CENTRE ALL RIGHTS RESERVED ;ISSN: 2233-6079 ;EISSN: 2233-6087

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14
Underwater Acoustic Research Trends with Machine Learning: Active SONAR Applications
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Underwater Acoustic Research Trends with Machine Learning: Active SONAR Applications

한국해양공학회지, 2020, 34(4), 155, pp.277-284 [Peer Reviewed Journal]

ISSN: 1225-0767 ;EISSN: 2287-6715 ;DOI: 10.26748/KSOE.2020.018

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15
Forecasting KOSPI Return Using a Modified Stochastic AdaBoosting
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Article
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Forecasting KOSPI Return Using a Modified Stochastic AdaBoosting

East Asian economic review, 2021-12, Vol.25 (4), p.403-424 [Peer Reviewed Journal]

ISSN: 2508-1640 ;EISSN: 2508-1667

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16
Underwater Acoustic Research Trends with Machine Learning : General Background
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Article
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Underwater Acoustic Research Trends with Machine Learning : General Background

한국해양공학회지, 2020, 34(2), 153, pp.147-154 [Peer Reviewed Journal]

ISSN: 1225-0767 ;EISSN: 2287-6715 ;DOI: 10.26748/KSOE.2020.015

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17
비행데이터를 활용한 머신러닝 기반 비행착각 탐지 알고리즘 성능 분석
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Article
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비행데이터를 활용한 머신러닝 기반 비행착각 탐지 알고리즘 성능 분석

한국항행학회논문지, 2023, 27(4), , pp.391-395

ISSN: 1226-9026 ;EISSN: 2288-842X

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18
Prediction Models of Blood Glucose Change During Aerobic Exercise Using Machine Learning Techniques
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Article
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Prediction Models of Blood Glucose Change During Aerobic Exercise Using Machine Learning Techniques

Exercise science (Seoul, Korea), 2023-08, Vol.32 (3), p.295-303 [Peer Reviewed Journal]

ISSN: 1226-1726 ;EISSN: 2384-0544 ;DOI: 10.15857/ksep.2023.00318

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19
Machine Learning Application in Genomic, Exercise, and Vital Datasets
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Machine Learning Application in Genomic, Exercise, and Vital Datasets

Exercise science (Seoul, Korea), 2021-05, Vol.30 (2), p.131-146 [Peer Reviewed Journal]

ISSN: 1226-1726 ;EISSN: 2384-0544 ;DOI: 10.15857/ksep.2021.30.2.131

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20
The application of machine learning for predicting recurrence in patients with early-stage endometrial cancer: a pilot study
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The application of machine learning for predicting recurrence in patients with early-stage endometrial cancer: a pilot study

Obstetrics & gynecology science, 2021-05, Vol.64 (3), p.266 [Peer Reviewed Journal]

ISSN: 2287-8572

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