aalto1 untyped-item.component.html
A time dependent adaptive learning process for estimating drug exposure from register data - applied to insulin and its analogues
Loading...
URL
Journal Title
Journal ISSN
Volume Title
School of Science |
Master's thesis
Electronic archive copy is available via Aalto Thesis Database.
Checking the digitized thesis and permission for publishing
Instructions for the author
Instructions for the author
Authors
Date
Department
Major/Subject
Mcode
T-79
Degree programme
Language
en
Pages
[5] + 54
Series
Abstract
In register based drug research time dependent drug exposure is evaluated based on information available from the prescription register.
In Finland the exact daily dosage information is not available and thus has to be estimated from the total amount purchased and the purchase patterns.
The aim of this master thesis project is to develop a new algorithm, named Time Dependent Adaptive Learning Process (TDALP), which is a prospective method and applies the historical records to estimate the current insulin daily dosage.
Through testing under different situations including both constant daily dosage cases and alterable daily dosage cases, it is demonstrated that the performance of the new algorithm is superior over the more traditional methods.