Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Kim Horn"'
Autor:
Kim Horn Kheng.
Th. univ.--Méd. vét.--Toulouse 3, 1980. N°: 14.
Externí odkaz:
http://catalogue.bnf.fr/ark:/12148/cb36086395n
Autor:
Mare Schumacher, Nathan C. Nieto, Jennifer Corrigan, Marie Peoples, Jefferson M. Jones, Kenneth Komatsu, Kim Horn, Nina Souders, David M. Engelthaler, Darlene M. Lee, Adam J. Replogle, Carter R. Hranac, Joel Terriquez
Publikováno v:
The American Journal of Tropical Medicine and Hygiene. 95:546-550
During August 2014, five high school students who had attended an outdoor education camp were hospitalized with a febrile illness, prompting further investigation. Ten total cases of tick-borne relapsing fever (TBRF) were identified—six cases confi
Autor:
Kim Horn, Mark D. Lacy
Publikováno v:
Clinical Infectious Diseases. 49:354-357
Background. Nosocomial transmission of group A streptococcus (GAS) has been well described. Instances resulting in fulminant disease among health care workers have not been described. Contact and droplet precautions have been advised to minimize the
Publikováno v:
Journal of Psychology Research.
Smoking is currently one of the most detrimental causes of preventable chronic disease. Lower levels of education attainment are linked with poor health outcomes in adulthood. Further, adults who smoke generally have lower levels of education. Smokin
Publikováno v:
Machine Learning. 32:101-126
Concept drift due to hidden changes in context complicates learning in many domains including financial prediction, medical diagnosis, and communication network performance. Existing machine learning approaches to this problem use an incremental lear
Publikováno v:
Critical Care Medicine. 44:464-464
Autor:
Richard Risher, T. Elizabeth Robertson, Meagan Mahoney, Samantha Seals, Kim Horn, Larry Martin, Rachel Saunders
Publikováno v:
Critical Care Medicine. 43:240
Autor:
Kim Horn, Michael Bonnell Harries
Publikováno v:
Learning and Reasoning with Complex Representations ISBN: 9783540644132
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Concept drift due to hidden changes in context complicates learning in many domains including financial prediction, medical diagnosis, and network performance. Existing machine learning approaches to this problem use an incremental learning, on-line
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0ca9c1bd51be82d7b819f0167f7cfd26
https://doi.org/10.1007/3-540-64413-x_31
https://doi.org/10.1007/3-540-64413-x_31
Publikováno v:
Health and human rights. 1(3)
Autor:
Nathaniel Doe, Mafalda Nogueira, Joiner Cartwright, Luan D. Truong, Scott B. Shappell, Emanuel Coroneos, Kim Horn, Roberto Barrios
Publikováno v:
American Journal of Kidney Diseases. 35:e15.1-e15.8
Thin basement membrane disease (TBMD) is a condition originally defined as diffuse thinning of the glomerular basement membrane (GBM) associated with hematuria in all patients. Although proteinuria has been described in up to 60% of patients with TBM