Literature DB >> 10341186

Application of data mining to intensive care unit microbiologic data.

S A Moser1, W T Jones, S E Brossette.   

Abstract

We describe refinements to and new experimental applications of the Data Mining Surveillance System (DMSS), which uses a large electronic health-care database for monitoring emerging infections and antimicrobial resistance. For example, information from DMSS can indicate potentially important shifts in infection and antimicrobial resistance patterns in the intensive care units of a single health-care facility.

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Year:  1999        PMID： 10341186      PMCID： PMC2640757          DOI： 10.3201/eid0503.990320

Source DB:  PubMed          Journal:  Emerg Infect Dis        ISSN： 1080-6040            Impact factor:   6.883


  1 in total

1.  Association rules and data mining in hospital infection control and public health surveillance.

Authors:  S E Brossette; A P Sprague; J M Hardin; K B Waites; W T Jones; S A Moser
Journal:  J Am Med Inform Assoc       Date:  1998 Jul-Aug       Impact factor: 4.497
  1 in total
  4 in total

1.  Analysis of Multidrug Resistance in Staphylococcus aureus with a Machine Learning-Generated Antibiogram.

Authors:  Casey L Cazer; Lars F Westblade; Matthew S Simon; Reed Magleby; Mariana Castanheira; James G Booth; Stephen G Jenkins; Yrjö T Gröhn
Journal:  Antimicrob Agents Chemother       Date:  2021-03-18       Impact factor: 5.191

2.  A Comparison of Intensive Care Unit Mortality Prediction Models through the Use of Data Mining Techniques.

Authors:  Sujin Kim; Woojae Kim; Rae Woong Park
Journal:  Healthc Inform Res       Date:  2011-12-31

3.  Binary cumulative sums and moving averages in nosocomial infection cluster detection.

Authors:  Samuel M Brown; James C Benneyan; Daniel A Theobald; Kenneth Sands; Matthew T Hahn; Gail A Potter-Bynoe; John M Stelling; Thomas F O'Brien; Donald A Goldmann
Journal:  Emerg Infect Dis       Date:  2002-12       Impact factor: 6.883

4.  Development of clinical decision rules to predict recurrent shock in dengue.

Authors:  Nguyen Tien Huy; Nguyen Thanh Hong Thao; Tran Thi Ngoc Ha; Nguyen Thi Phuong Lan; Phan Thi Thanh Nga; Tran Thi Thuy; Ha Manh Tuan; Cao Thi Phi Nga; Vo Van Tuong; Tran Van Dat; Vu Thi Que Huong; Juntra Karbwang; Kenji Hirayama
Journal:  Crit Care       Date:  2013-12-02       Impact factor: 9.097
  4 in total

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