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Description
  • Data collected in medical experiments are most often carefully analysed using statistical SW packages. These SW packages have become a standard equipment of any laboratory collecting experimental data. We argue that it is time to enhance this equipment by machine learning methods which have been designed and developed during the last twenty years. We present a case study which proves that machine learning algorithms can serve as a valuable source of heuristics when searching for interesting hypotheses, which are valid in the collected data.
  • Data collected in medical experiments are most often carefully analysed using statistical SW packages. These SW packages have become a standard equipment of any laboratory collecting experimental data. We argue that it is time to enhance this equipment by machine learning methods which have been designed and developed during the last twenty years. We present a case study which proves that machine learning algorithms can serve as a valuable source of heuristics when searching for interesting hypotheses, which are valid in the collected data. (en)
Title
  • Formation of Hypotheses on Stress Using Machine Learning Methods
  • Formation of Hypotheses on Stress Using Machine Learning Methods (en)
skos:prefLabel
  • Formation of Hypotheses on Stress Using Machine Learning Methods
  • Formation of Hypotheses on Stress Using Machine Learning Methods (en)
skos:notation
  • RIV/68407700:21230/03:00087920!RIV10-MSM-21230___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • R
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 607583
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21230/03:00087920
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • medical experiments; machine learning (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [77C670A8DDE4]
http://linked.open...v/mistoKonaniAkce
  • Praha
http://linked.open...i/riv/mistoVydani
  • Praha
http://linked.open...i/riv/nazevZdroje
  • Intelligent and Adaptive Systems in Medicine
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Štěpánková, Olga
  • Nováková, Lenka
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
issn
  • 1213-3000
number of pages
http://purl.org/ne...btex#hasPublisher
  • České vysoké učení technické v Praze. Fakulta elektrotechnická
http://localhost/t...ganizacniJednotka
  • 21230
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