Discarnation and interactive variables as conditions for disease

Autor:	Thomas H. Jobe, Shih-Chuan Cheng, J.M. Mordeson, Davender S. Malik, C.M. Helgason
Rok vydání:	2003
Předmět:	Structure (mathematical logic) Computer science business.industry Fuzzy set Disease Patient data computer.software_genre Machine learning Fuzzy logic Patient diagnosis Statistical analysis Data mining Artificial intelligence business computer Biocybernetics
Zdroj:	18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397).
Popis:	Evidence-based medicine is currently founded in probability-based statistics and attempts to extrapolate what is the case for the collective to individual patient diagnosis and treatment. This study uses fuzzy measures to find structure in individual patient data and suggests that interactions, as they exist in nature as variables that are combinatorialy represented in the unique person, are only captured by fuzzy measures. If pathology and physiology are biologically relevant in the individual patient system, fuzzy measures may be more appropriate, or at least appropriate in addition to statistical analysis for medical clinical studies.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::d7a23aebeb8537d1bc6bbe3ece574572 https://doi.org/10.1109/nafips.1999.781702 Zobrazit plný text záznamu