Sun Mi Lee

Summary

Affiliation: The Catholic University of Korea
Country: Korea

Publications

  1. ncbi request reprint Logistic regression and Bayesian networks to study outcomes using large data sets
    Sun Mi Lee
    College of Nursing, Catholic University of Korea, Seoul, Korea
    Nurs Res 54:133-8. 2005
  2. ncbi request reprint Bayesian networks for knowledge discovery in large datasets: basics for nurse researchers
    Sun Mi Lee
    School of Nursing, University of Maryland at Baltimore, 655 W Lombard, Baltimore, MD, USA
    J Biomed Inform 36:389-99. 2003
  3. doi request reprint Implications of systematic review for breast cancer prediction
    Sun Mi Lee
    College of Nursing, The Catholic University of Korea, Seoul, Korea
    Cancer Nurs 31:E40-6. 2008
  4. doi request reprint Breast cancer risk factors in Korean women: a literature review
    S M Lee
    University of North Carolina, Chapel Hill, USA
    Int Nurs Rev 55:355-9. 2008
  5. doi request reprint Risk factors and a predictive model for thyroid cancer in Korean women
    Sun Mi Lee
    Authors Affiliation College of Nursing, The Catholic University of Korea, 505 Banpo Dong, Seocho Gu, Seoul, Korea 137 701
    Cancer Nurs 33:310-9. 2010
  6. ncbi request reprint Analysis of PTEN gene mutations in Korean patients with Cowden syndrome and polyposis syndrome
    Dae Kyoum Kim
    Division of Gastroenterology, Department of Internal Medicine, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea
    Dis Colon Rectum 48:1714-22. 2005

Collaborators

  • Dae Kyoum Kim
  • Jin Yong Jeong
  • Sung Ae Jung
  • Kyu Jong Kim
  • Seong Soo Hong
  • Jin Ho Kim
  • Young Il Min
  • Gin Hyug Lee
  • Kyuyoung Song
  • Jeong Sik Byeon
  • Suk Kyun Yang
  • Seung Jae Myung

Detail Information

Publications6

  1. ncbi request reprint Logistic regression and Bayesian networks to study outcomes using large data sets
    Sun Mi Lee
    College of Nursing, Catholic University of Korea, Seoul, Korea
    Nurs Res 54:133-8. 2005
    ..As a result, innovative approaches are required...
  2. ncbi request reprint Bayesian networks for knowledge discovery in large datasets: basics for nurse researchers
    Sun Mi Lee
    School of Nursing, University of Maryland at Baltimore, 655 W Lombard, Baltimore, MD, USA
    J Biomed Inform 36:389-99. 2003
    ..This tailored discussion presents the basic concepts of Bayesian networks and their use as knowledge discovery tools for nurse researchers...
  3. doi request reprint Implications of systematic review for breast cancer prediction
    Sun Mi Lee
    College of Nursing, The Catholic University of Korea, Seoul, Korea
    Cancer Nurs 31:E40-6. 2008
    ..This study also implies that the naive Bayes was equivalent to and could be preferred over logistic regression...
  4. doi request reprint Breast cancer risk factors in Korean women: a literature review
    S M Lee
    University of North Carolina, Chapel Hill, USA
    Int Nurs Rev 55:355-9. 2008
    ..To compile a complete list of risk factors from the Korean breast cancer studies to obtain relevant predictor information essential in developing a predictive model for breast cancer...
  5. doi request reprint Risk factors and a predictive model for thyroid cancer in Korean women
    Sun Mi Lee
    Authors Affiliation College of Nursing, The Catholic University of Korea, 505 Banpo Dong, Seocho Gu, Seoul, Korea 137 701
    Cancer Nurs 33:310-9. 2010
    ..Thyroid cancer incidence in Korean women has increased radically and is the highest in all cancer types. However, the rate of cancer screening among women is very low...
  6. ncbi request reprint Analysis of PTEN gene mutations in Korean patients with Cowden syndrome and polyposis syndrome
    Dae Kyoum Kim
    Division of Gastroenterology, Department of Internal Medicine, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea
    Dis Colon Rectum 48:1714-22. 2005
    ..We analyzed the DNA of various organs and lesions in Korean patients with Cowden syndrome, their family members, and patients with familial adenomatous polyposis for germline or somatic PTEN mutations...