Pharmacometrics and machine learning partner to advance clinical data analysis.

Pharmacometrics and machine learning partner to advance clinical data analysis. Clin Pharmacol Ther. 2020 Jan 12;: Authors: Koch G, Pfister M, Daunhawer I, Wilbaux M, Wellmann S, Vogt JE Abstract Clinical pharmacology is a multi-disciplinary data sciences field that utilizes mathematical and statistical methods to generate maximal knowledge from data. Pharmacometrics (PMX) is a well-recognized tool to characterize disease progression, pharmacokinetics and risk factors. Since the amount of data produced keeps growing with increasing pace, the computational effort necessary for PMX models is also increasing. Additionally, computationally efficient methods such as machine learning (ML) are becoming increasingly important in medicine. However, ML is currently not an integrated part of PMX, for various reasons. The goals of this article are to (i) provide an introduction to ML classification methods, (ii) provide examples for a ML classification analysis to identify covariates based on specific research questions, (iii) examine a clinically relevant example to investigate possible relationships of ML and PMX, and (iv) present a summary of ML and PMX tasks to develop clinical decision support tools. PMID: 31930487 [PubMed - as supplied by publisher]
Source: Clinical Pharmacology and Therapeutics - Category: Drugs & Pharmacology Authors: Tags: Clin Pharmacol Ther Source Type: research