"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." . . "R" . "Nov\u00E1kov\u00E1, Lenka" . "1213-3000" . . . . "RIV/68407700:21230/03:00087920" . . "\u010Cesk\u00E9 vysok\u00E9 u\u010Den\u00ED technick\u00E9 v Praze. Fakulta elektrotechnick\u00E1" . "\u0160t\u011Bp\u00E1nkov\u00E1, Olga" . . . . "Formation of Hypotheses on Stress Using Machine Learning Methods"@en . "607583" . "Praha" . "Praha" . . "Formation of Hypotheses on Stress Using Machine Learning Methods" . "medical experiments; machine learning"@en . "4"^^ . . . . "[77C670A8DDE4]" . "2"^^ . "Formation of Hypotheses on Stress Using Machine Learning Methods"@en . "6"^^ . "21230" . "Intelligent and Adaptive Systems in Medicine" . "RIV/68407700:21230/03:00087920!RIV10-MSM-21230___" . "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 . . "Formation of Hypotheses on Stress Using Machine Learning Methods" . . . "2003-03-31+02:00"^^ .