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Prediction of dental caries in 12-year-old children using machine-learning algorithms

Yang YH, Kim JS, Jeong SH

OBJECTIVES: The decayed-missing-filled (DMFT) index is a representative oral health indicator. Prediction of DMFT index is an important basis for the development of public oral health care projects and strategies...
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Prediction of Chronic Disease-Related Inpatient Prolonged Length of Stay Using Machine Learning Algorithms

Symum H, Zayas-Castro JL

OBJECTIVES: The study aimed to develop and compare predictive models based on supervised machine learning algorithms for predicting the prolonged length of stay (LOS) of hospitalized patients diagnosed with five...
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Machine Learning and Initial Nursing Assessment-Based Triage System for Emergency Department

Yu JY, Jeong GY, Jeong OS, Chang DK, Cha WC

OBJECTIVES: The aim of this study was to develop machine learning (ML) and initial nursing assessment (INA)-based emergency department (ED) triage to predict adverse clinical outcome. METHODS: The retrospective study included...
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Antifungal Activities of Streptomyces blastmyceticus Strain 12-6 Against Plant Pathogenic Fungi

Kim YJ, Kim JH, Rho JY

Streptomyces blastmyceticus strain 12-6 was isolated from a forest soil sample of Cheonan area on the basis of strong antifungal activities against plant pathogenic fungi. Butanol extracts of the cultural...
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Machine Learning Approaches for the Prediction of Prostate Cancer according to Age and the Prostate-Specific Antigen Level

Lee J, Yang SW, Lee S, Hyon YK, Kim J, Jin L, Lee JY, Park JM, Ha T, Shin JH, Lim JS, Na YG, Song KH

PURPOSE: The aim of this study was to evaluate the applicability of machine learning methods that combine data on age and prostate-specific antigen (PSA) levels for predicting prostate cancer. MATERIALS AND...
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Classification of Common Relationships Based on Short Tandem Repeat Profiles Using Data Mining

Jeong SJ, Lee HJ, Lee SD, Lee SH, Park SJ, Kim JS, Lee JW

We reviewed past studies on the identification of familial relationships using 22 short tandem repeat markers. As a result, we can obtain a high discrimination power and a relatively accurate...
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Detection of Suicide Attempters among Suicide Ideators Using Machine Learning

Ryu S, Lee H, Lee DK, Kim SW, Kim CE

OBJECTIVE: We aimed to develop predictive models to identify suicide attempters among individuals with suicide ideation using a machine learning algorithm. METHODS: Among 35,116 individuals aged over 19 years from the...
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Perceptual and Acoustic Outcomes of Early-Stage Glottic Cancer After Laser Surgery or Radiotherapy: A Meta-Analysis

Lee SH, Hong KH, Kim JS, Hong YT

Laser surgery (LS) or radiotherapy (RT) is normally recommended in early glottic cancer. The objective of this study was to perform a comprehensive meta-analysis of acoustic and perceptual outcomes to...
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Prediction and Staging of Hepatic Fibrosis in Children with Hepatitis C Virus: A Machine Learning Approach

Barakat NH, Barakat SH, Ahmed N

OBJECTIVES: The aim of this study is to develop an intelligent diagnostic system utilizing machine learning for data cleansing, then build an intelligent model and obtain new cutoff values for...
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Using big data to see the forest and the trees: endoscopic submucosal dissection of early gastric cancer in Korea

Bang CS, Baik GH

No abstract available.
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Effects of Outdoor Activities in Forests on Atopic Dermatitis

Kim WK, Kim W, Woo JM

BACKGROUND: The aim of this study was to determine the effects of out-door activities in the forest environment, the so-called "forest therapy program," among children with atopic dermatitis (AD). METHODS: A...
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Development and Validation of Deep-Learning Algorithm for Electrocardiography-Based Heart Failure Identification

Kwon JM, Kim KH, Jeon KH, Kim HM, Kim MJ, Lim SM, Song PS, Park J, Choi RK, Oh BH

BACKGROUND AND OBJECTIVES: Screening and early diagnosis for heart failure (HF) are critical. However, conventional screening diagnostic methods have limitations, and electrocardiography (ECG)-based HF identification may be helpful. This study...
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Let's Not Miss the Forest for the Trees

Hyun SJ

No abstract available.
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Review of Machine Learning Algorithms for Diagnosing Mental Illness

Cho G, Yim J, Choi Y, Ko J, Lee SH

OBJECTIVE: Enhanced technology in computer and internet has driven scale and quality of data to be improved in various areas including healthcare sectors. Machine Learning (ML) has played a pivotal...
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An Integrative Review on the Contents and Effectiveness of Depression and Anxiety Interventions applied to Unmarried Mothers Living in Residential Facilities

Gwon T, Lee G, Kang E, Moon J, Jeong J

PURPOSE: The purposes of this study was to review the literature on intervention for treating anxiety and depression among unmarried mothers living in facilities, and to understand core that could...
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Elementary School Teachers' Awareness of Forest Welfare Services and Promotion of Strategies for School-based Health Promotion Programs Using the Forest

Kim M, Bang KS, Lee I, Kim S, Yi Y, Chin YR, Moon H, Ha EY

PURPOSE: This study was conducted to identify the perceptions toward school forest programs related to forest welfare services in elementary schools and suggest strategies to activate new programs. METHODS: A mixed...
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Artificial Neural Network Analysis of Spontaneous Preterm Labor and Birth and Its Major Determinants

Lee KS, Ahn KH

BACKGROUND: Little research based on the artificial neural network (ANN) is done on preterm birth (spontaneous preterm labor and birth) and its major determinants. This study uses an ANN for...
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Preventive Effects of Fluoride Gel Application on Dental Caries in the Permanent Tooth: A Systematic Review of Randomized Controlled Trials

Do KY, Lee ES

BACKGROUND: The purpose of this systematic review was to investigate the effects of topical fluoride gel application on dental caries prevention in the permanent teeth of children and adolescents. METHODS: We...
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First Report of Buchwaldoboletus lignicola (Boletaceae), a Potentially Endangered Basidiomycete Species, in South Korea

Jo JW, Kwag YN, Cho SE, Han SK, Han JG, Lim YW, Sung GH, Oh SH, Kim CS

During the 2014 survey of the mushroom flora of Gwangneung forest in South Korea, we collected two specimens of boletoid mushroom growing on a felled tree of Pinus koraiensis. These...
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Effect of Acaromyces Ingoldii Secondary Metabolites on the Growth of Brown-Rot (Gloeophyllum Trabeum) and White-Rot (Trametes Versicolor) Fungi

Olatinwo R, So CL, Eberhardt

We investigated the antifungal activities of an endophytic fungus identified as Acaromyces ingoldii, found on a loblolly (Pinus taeda L.) pine bolt in Louisiana during routine laboratory microbial isolations. The...
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