Discarnation and interactive variables as conditions for disease

Author

Helgason, Cathy M. ; Jobe, Thomas H. ; Mordeson, John M. ; Malik, D.S. ; Cheng, Shih-Chuan

Author_Institution

Dept. of Neurology, Illinois Univ., Chicago, IL, USA

fYear

1999

fDate

36342

Firstpage

298

Lastpage

303

Abstract

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

Keywords

biocybernetics; diseases; fuzzy set theory; patient diagnosis; patient treatment; physiology; probability; statistical analysis; biological relevance; combinatorial representation; discarnation; disease; evidence-based medicine; extrapolation; fuzzy measures; individual patient data structure; interactive variables; medical clinical studies; pathology; patient diagnosis; patient treatment; physiology; probability-based statistics; statistical analysis; Blood; Diseases; Fuzzy sets; Heart; Measurement standards; Medical diagnosis; Medical diagnostic imaging; Nervous system; Statistical analysis; Statistics;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Information Processing Society, 1999. NAFIPS. 18th International Conference of the North American

Conference_Location

New York, NY

Print_ISBN

0-7803-5211-4

Type

conf

DOI

10.1109/NAFIPS.1999.781702

Filename

781702