Search Results - "Uhmn, Saangyong"

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  1. 1

    A Prediction Model Using Machine Learning Algorithm for Assessing Stone-Free Status after Single Session Shock Wave Lithotripsy to Treat Ureteral Stones by Choo, Min Soo, Uhmn, Saangyong, Kim, Jong Keun, Han, Jun Hyun, Kim, Dong-Hoi, Kim, Jin, Lee, Seong Ho

    Published in The Journal of urology (01-12-2018)
    “…The aim of this study was to develop and validate a decision support model using a machine learning algorithm to predict treatment success after single session…”
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    Journal Article
  2. 2

    Male-specific genetic effect on hypertension and metabolic disorders by Heo, Seong Gu, Hwang, Joo-Yeon, Uhmn, Saangyong, Go, Min Jin, Oh, Burmseok, Lee, Jong-Young, Park, Ji Wan

    Published in Human genetics (01-03-2014)
    “…Genetic risk factors for hypertension may have age or gender specificity and pleiotropic effects. This study aims to measure the risk of genetic and…”
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    Journal Article
  3. 3

    A Novel Deep Learning–based Artificial Intelligence System for Interpreting Urolithiasis in Computed Tomography by Kim, Jin, Kwak, Chan Woo, Uhmn, Saangyong, Lee, Junghoon, Yoo, Sangjun, Cho, Min Chul, Son, Hwancheol, Jeong, Hyeon, Choo, Min Soo

    Published in European urology focus (11-07-2024)
    “…Our novel artificial intelligence system, which uses advanced deep learning, facilitated diagnosis of urolithiasis with 94% accuracy and three times faster…”
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    Journal Article
  4. 4

    Chronic Hepatitis Classification Using SNP Data and Data Mining Techniques by Saangyong Uhmn, Dong-Hoi Kim, Jin Kim, Sung Won Cho, Jae Youn Cheong

    “…The machine learning techniques, SVM, decision tree, and decision rule, are used to predict the susceptibility to the liver disease, chronic hepatitis from…”
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    Conference Proceeding
  5. 5

    A study on application of single nucleotide polymorphism and machine learning techniques to diagnosis of chronic hepatitis by Uhmn, Saangyong, Kim, Dong-Hoi, Ko, Young-Woong, Cho, Sungwon, Cheong, Jaeyoun, Kim, Jin

    Published in Expert systems (01-02-2009)
    “…: We used several machine learning techniques to predict the susceptibility to chronic hepatitis from single nucleotide polymorphism (SNP) data. These are…”
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    Journal Article
  6. 6

    Predicting Susceptibility to Chronic Hepatitis using Single Nucleotide Polymorphism Data and Support Vector Machine by Kim, Dong-hoi, Uhmn, Saangyong, Kim, Jin, Cho, Sung Won, Hahm, Ki-baik

    “…SVM(Support VectorMachine) is used to predict the susceptibility to Chronic Hepatitis from SNP(single nucleotide polymorphism) data. SVM is trained to predict…”
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    Conference Proceeding