Related Experiment Video
Updated: Aug 16, 2026

Clinical Application of Phase Angle and BIVA Z-Score Analyses in Patients Admitted to an Emergency Department with Acute Heart Failure
Published on: June 30, 2023
Comparison efficiency of the artificial intelligence methods for the diagnosis of Acid - base and anion gap disorders
Edward Kacki1, Andrzej Małolepszy
1College of Computer Science in Lodz, Poland. e25kacki@cosmosnet.pl
Abstract:
Diagnosis of the most complicated disorders in acid-base status and accompanying electrolyte balance creates a lot of troubles for practicing physicians. The purpose of our study was to create and compare: 1) an artificial neural network, 2) genetic program, 3) fuzzy-neural system that can diagnose acid-base disorders, based on a set of laboratory gasometric and electrolyte measurements. We took into account 7 single acid-base disorders, 11 double acid-base disorders and 6 triple complicated disorders with accompanying anion gap alterations. We prepared a set laboratory measurements consisting of 250 results for training and the same number of results for testing the program. Finally, the efficiency of presented artificial intelligence (AI) methods has been described and compared.
Related Concept Videos
Diagnosing Acidosis and Alkalosis
First, the pH level is assessed to determine whether the blood pH is normal (7.35–7.45), low (acidosis), or high (alkalosis).
Next, the PCO2 and HCO3− values are examined to...
Titration of a Weak Acid with a Strong Base
Acid/Base Strengths and Dissociation Constants
Relative Strengths of Conjugate Acid-Base Pairs
Disorders of Acid-Base Balance
Respiratory Acidosis and Alkalosis
Respiratory acidosis occurs due to an increase in the partial pressure of carbon dioxide PCO2 in the blood. It often arises from shallow breathing or impaired gas exchange caused by...
Titration of a Weak Acid with a Weak Base
As a result, there is no simple...
