Discarnation and interactive variables as conditions for disease

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

Research output: Contribution to journalArticle

4 Citations (Scopus)

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 are combinatorily 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.

Original languageEnglish
Pages (from-to)298-303
Number of pages6
JournalUnknown Journal
StatePublished - 1999
Externally publishedYes

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Physiology
Pathology
Fuzzy systems
Medicine
Statistical methods
Statistics
fuzzy systems
physiology
pathology
medicine
statistical analysis
statistics
interactions

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Media Technology

Cite this

Discarnation and interactive variables as conditions for disease. / Helgason, Cathy M.; Jobe, Thomas H.; Mordeson, John M.; Malik, Davender S.; Cheng, Shih-Chuan.

In: Unknown Journal, 1999, p. 298-303.

Research output: Contribution to journalArticle

Helgason, Cathy M. ; Jobe, Thomas H. ; Mordeson, John M. ; Malik, Davender S. ; Cheng, Shih-Chuan. / Discarnation and interactive variables as conditions for disease. In: Unknown Journal. 1999 ; pp. 298-303.
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