Estimating The Intravenous Fluid Resuscitation  In Patients In The Intensive Care Units (A Fuzzy Logic Based Expert Advisory System)

Kamal Dadhirao; Surendra Babu; Mr. Suresh Maddila

Volume : I, Issue : VI, March - 2012

Estimating The Intravenous Fluid Resuscitation In Patients In The Intensive Care Units (A Fuzzy Logic Based Expert Advisory System)

Kamal Dadhirao, Surendra Babu, Mr. Suresh Maddila

Abstract :

The work in this paper addresses the medical diagnosis of how a fuzzy logic works by illustrating its application on a simpli?ed model of fluid resuscitation of ICU patients. It introduces a formal view of diagnosis in clinical settings and shows the relevance and possible uses of fuzzy cognitive maps and fuzzy logic. It enhances the control strategies in the medical ?eld to diagnose a disease. This system uses fuzzy logic design: fuzzi?er, rule base, and defuzzi?cation. The entries for diagnosis are two inputs: Mean Arterial Pressure (MAP) and Hourly Urine Output (HUO) and taking one output: Intravenous Fluid Resuscitation (IFR). The medical diagnosis fuzzy rules are formulated and applied for the system. The results are found in agreement with the design based calculated results. This research work proposes to develop a control system to enhance the ef?ciency to diagnose a disease in a patient in the Intensive Care Unit.