Biotechnical system and fuzzy logic models for prediction and prevention of post-traumatic inflammatory complications in patients with blunt renal trauma

2021

Closed access Metadata (CSL-JSON)
DOI 10.1504/ijbet.2021.120193
Data confidence 70 medium
How this score is calculated

It is built from checkable properties of the record itself: whether the article has a DOI, how many independent sources confirmed its data, whether the required fields are filled in, and how recent the latest confirmation is. Disagreement between sources and a missing identifier lower it. A value of 80 or above means the record was published without further checking; 60 to 79 means it is published at reduced confidence, with a manual check advisable. A record verified by an editor by hand is never pushed below 90 by a recalculation. This scores our data about the article, not the article itself.

Abstract

Fuzzy logic approach is developed and trained to predict occurrence of health implications in blunt kidneys patients. Fuzzy logic is selected because it merges expert judgement with real patients' data analysis. A fuzzy decision rules system for forecasting the posttraumatic inflammatory complications of patients with blunt kidneys injury were according to the medical and laboratory testing of the research. The research shows high level of lipid peroxidation and antioxidant activity. The research predicts occurrence of complications and physician can describe prevention and treatment by combining physical therapy treatments with antioxidant and detoxification therapy.