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Description
| - This paper deals with the usage of logistic regression for prediction of morbidity of patients facing colectomy. Logistic regression is frequently used in medical data analyses. Although it was not originally created for the purposes of discrimination, it can be successfully used for it as we will demonstrate. Our data comes from the patients who underwent colectomy in The Faculty Hospital Ostrava. As predictor variables for discriminant analysis was chosen the physiological and the operative scores. The physiological score comprises 12 factors, such as age, pulse, blood pressure, urea and ECG, and the operative score comprises 6 factors (seriousness of operation, loss of blood etc.). Each of these factors was graded on a four-point scale (1, 2, 4, 8). The categorical dependent variable, which we wanted to predict, was morbidity.
- This paper deals with the usage of logistic regression for prediction of morbidity of patients facing colectomy. Logistic regression is frequently used in medical data analyses. Although it was not originally created for the purposes of discrimination, it can be successfully used for it as we will demonstrate. Our data comes from the patients who underwent colectomy in The Faculty Hospital Ostrava. As predictor variables for discriminant analysis was chosen the physiological and the operative scores. The physiological score comprises 12 factors, such as age, pulse, blood pressure, urea and ECG, and the operative score comprises 6 factors (seriousness of operation, loss of blood etc.). Each of these factors was graded on a four-point scale (1, 2, 4, 8). The categorical dependent variable, which we wanted to predict, was morbidity. (en)
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Title
| - Modified logistic regression as a tool for discrimination
- Modified logistic regression as a tool for discrimination (en)
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skos:prefLabel
| - Modified logistic regression as a tool for discrimination
- Modified logistic regression as a tool for discrimination (en)
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skos:notation
| - RIV/61989100:27240/10:86075331!RIV11-MSM-27240___
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http://linked.open...avai/riv/aktivita
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http://linked.open...avai/riv/aktivity
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http://linked.open...vai/riv/dodaniDat
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http://linked.open...aciTvurceVysledku
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http://linked.open.../riv/druhVysledku
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http://linked.open...iv/duvernostUdaju
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http://linked.open...titaPredkladatele
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http://linked.open...dnocenehoVysledku
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http://linked.open...ai/riv/idVysledku
| - RIV/61989100:27240/10:86075331
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http://linked.open...riv/jazykVysledku
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http://linked.open.../riv/klicovaSlova
| - logistic regression, discrimination analysis, medical data (en)
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http://linked.open.../riv/klicoveSlovo
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http://linked.open...ontrolniKodProRIV
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http://linked.open...v/mistoKonaniAkce
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http://linked.open...i/riv/mistoVydani
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http://linked.open...i/riv/nazevZdroje
| - Reliability, Risk, and Safety - Theory and Applications
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http://linked.open...in/vavai/riv/obor
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http://linked.open...ichTvurcuVysledku
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http://linked.open...cetTvurcuVysledku
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http://linked.open...vavai/riv/projekt
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http://linked.open...UplatneniVysledku
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http://linked.open...iv/tvurceVysledku
| - Briš, Radim
- Kuráňová, Pavlína
- Rabasová, Marcela
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http://linked.open...vavai/riv/typAkce
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http://linked.open...ain/vavai/riv/wos
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http://linked.open.../riv/zahajeniAkce
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number of pages
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http://purl.org/ne...btex#hasPublisher
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https://schema.org/isbn
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http://localhost/t...ganizacniJednotka
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