IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Design of Drug Dosage Regimen (DDR) for Immune Thrombocytopenic Purpura (ITP) Patients Using Control Theory Concepts: A Simulation Study

Design of Drug Dosage Regimen (DDR) for Immune Thrombocytopenic Purpura (ITP) Patients Using Control Theory Concepts: A Simulation Study
View Sample PDF
Author(s): Rajkumar K (National Institute of Technology, Tiruchirapalli, India), S. Narayanan (National Institute of Technology, Tiruchirapalli, India)and Sivakumaran Natarajan (National Institute of Technology, Tiruchirapalli, India)
Copyright: 2023
Pages: 27
Source title: Diverse Perspectives and State-of-the-Art Approaches to the Utilization of Data-Driven Clinical Decision Support Systems
Source Author(s)/Editor(s): Thomas M. Connolly (DS Partnership, UK), Petros Papadopoulos (University of Strathclyde, UK)and Mario Soflano (Glasgow Caledonian University, UK)
DOI: 10.4018/978-1-6684-5092-5.ch014

Purchase


Abstract

In this chapter, an optimal drug dosage regimen is designed by incorporating the standard treatment guidelines in terms of average and safe limits of drug dosage for immune thrombocytopenic purpura patients (ITP). If constant drug dosage is administered with fixed dosing, the interval leads to sustained oscillations of platelet count values with higher magnitude. Moreover, the amount of dose utilized for the treatment is also high. This leads to undesirable consequences which are dangerous to patients. Hence, a composite framework is essential to obtain optimal drug dosage for specific ITP patients. This chapter presents the potential benefits of the pharmacokinetic-pharmacodynamic (PK/PD) model of ITP patients and its applicability to obtain the optimum dosage profile using linear control theory in line with standard guidelines. Prediction of dosage interval is made for a specific patient using this PK/PD model. And this information is given to the controller framework as sampling time.

Related Content

Yu Bin, Xiao Zeyu, Dai Yinglong. © 2024. 34 pages.
Liyin Wang, Yuting Cheng, Xueqing Fan, Anna Wang, Hansen Zhao. © 2024. 21 pages.
Tao Zhang, Zaifa Xue, Zesheng Huo. © 2024. 32 pages.
Dharmesh Dhabliya, Vivek Veeraiah, Sukhvinder Singh Dari, Jambi Ratna Raja Kumar, Ritika Dhabliya, Sabyasachi Pramanik, Ankur Gupta. © 2024. 22 pages.
Yi Xu. © 2024. 37 pages.
Chunmao Jiang. © 2024. 22 pages.
Hatice Kübra Özensel, Burak Efe. © 2024. 23 pages.
Body Bottom