Arterial Blood Gas Auto-Analyzer AI Model
This model is trained using a dataset of arterial blood gas normograms and the k-nearest neighbors (KNN) machine learning algorithm. After entering the values of blood carbon dioxide (CO₂), blood bicarbonate (HCO₃⁻), pH, and hydrogen ion concentration (H⁺), it analyzes the status of arterial blood and classifies it into one of the following seven categories: Normal, Metabolic Acidosis, Metabolic Alkalosis, Chronic Respiratory Acidosis, Acute Respiratory Acidosis, Acute Respiratory Alkalosis, and Chronic Respiratory Alkalosis.
