Optimization of identifying insulinaemic pharmacokinetic parameters using artificial neural network

Background and Objective: The identification of insulinaemic pharmacokinetic parameters using the least-squares criterion approach is easily influenced by outlying data due to its sensitivity. Furthermore, the least-squares criterion has a tendency to overfit and produce incorrect results. Hence, th...

詳細記述

書誌詳細
出版年:Computer Methods and Programs in Biomedicine
第一著者: 2-s2.0-85159168327
フォーマット: 論文
言語:English
出版事項: Elsevier Ireland Ltd 2023
オンライン・アクセス:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85159168327&doi=10.1016%2fj.cmpb.2023.107566&partnerID=40&md5=09177167afbdb77af994e04ae5093889