Comparison between statistical and fuzzy approaches for improving diagnostic decision making in patients with chronic nasal symptoms

作者：Lacagnina Valerio; Leto Barone Maria S; La Piana Simona; La Porta Gaia; Pingitore Giuseppe; Di Lorenzo Gabriele^*

来源：Fuzzy Sets and Systems, 2014, 237: 136-150.

DOI：10.1016/j.fss.2013.10.013

• Logistic regression model
• Fuzzy model
• Fuzzy relations
• Approximate reasoning
• Fuzzy inference systems
• Diagnostic decision making
• Nasal symptoms
• Skin prick test

This paper compares a fuzzy model, expressed in rule-form, with a well known statistical approach (i.e. logistic regression model) for diagnostic decision making in patients with chronic nasal symptoms. The analyses were carried out using a database obtained from a questionnaire administered to 1359 patients with nasal symptoms containing personal data, clinical data and skin prick test (SPT) results. Both the fuzzy model and the logistic regression model developed were validated using a data set obtained from another medical institution. The accuracy of the two models in identifying patients with positive or negative SPT was similar. This study is a preliminary step to the creation of a software that primary care doctors can use to make a diagnostic decision, When deciding whether patients with nasal symptoms need allergy testing or not.

• 出版日期2014-2-16