Computational and Mathematical Methods in Medicine / 2018 / Article / Tab 3 / Research Article
Quantitative Assessment of the Physiological Parameters Influencing QT Interval Response to Medication: Application of Computational Intelligence Tools Table 3 Input vector selected for GP modeling.
Orig input number Equation (2 ) label Label Description (1) - CYP1A2 Liver CYP1A2 abundance [pmol/mg of protein] (11) - CYP3A4 Liver CYP3A4 abundance [pmol/mg of protein] (14) - Gut_CYP2C9 Gut CYP2C9 abundance [pmol/mg of protein] (20) - Sex_Code Patients’ gender [male/female] (22) - Weight Patients’ weight [kg] (24) BSA Patients’ body surface area [m2 ] (29) - Cardiac_Output Patient’s cardiac output [L/h] (41) K Patients’ plasma potassium concentration [mM] (42) Na Patients’ plasma sodium concentration [mM] (43) Ca2 Patients’ plasma calcium concentration [mM] (44) IKr_inhibition Patients’ and drugs’ specific IKr current inhibition [0–100%] (45) IKs_inhibition Patients’ and drugs’ specific IKs current inhibition [0–100%] (46) INa_inhibition Patients’ and drugs’ specific INa current inhibition [0–100%] (47) ICa_inhibition Patients’ and drugs’ specific ICa current inhibition [0–100%] (49) dQTc dQTc Output (QTc interval modification as compared to baseline)