AIMC Topic: Drug Dosage Calculations
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Stable warfarin dose prediction in sub-Saharan African patients: A machine-learning approach and external validation of a clinical dose-initiation algorithm.
CPT: pharmacometrics & systems pharmacology
Dec 9, 2021
Warfarin remains the most widely prescribed oral anticoagulant in sub-Saharan Africa. However, because of its narrow therapeutic index, dosing can be challenging. We have therefore (a) evaluated and compared the performance of 21 machine-learning tec...
A hybrid machine learning/pharmacokinetic approach outperforms maximum a posteriori Bayesian estimation by selectively flattening model priors.
CPT: pharmacometrics & systems pharmacology
Jul 26, 2021
Model-informed precision dosing (MIPD) approaches typically apply maximum a posteriori (MAP) Bayesian estimation to determine individual pharmacokinetic (PK) parameters with the goal of optimizing future dosing regimens. This process combines knowled...
Development of a system to support warfarin dose decisions using deep neural networks.
Scientific reports
Jul 20, 2021
The first aim of this study was to develop a prothrombin time international normalized ratio (PT INR) prediction model. The second aim was to develop a warfarin maintenance dose decision support system as a precise warfarin dosing platform. Data of 1...
Bolus pharmacokinetics: moving beyond mass-based dosing to guide drug administration.
Journal of pharmacokinetics and pharmacodynamics
Aug 18, 2020
Despite the common approach of bolus drug dosing using a patient's mass, a more tailored approach would be to use empirically derived pharmacokinetic models. Previously, this could only be possible though the use of computer simulation using programs...
Optimal adaptive control of drug dosing using integral reinforcement learning.
Mathematical biosciences
Feb 5, 2019
In this paper, a reinforcement learning (RL)-based optimal adaptive control approach is proposed for the continuous infusion of a sedative drug to maintain a required level of sedation. To illustrate the proposed method, we use the common anesthetic ...
Finding medication doses in the liteature.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Dec 5, 2018
Medication doses, one of the determining factors in medication safety and effectiveness, are present in the literature, but only in free-text form. We set out to determine if the systems developed for extracting drug prescription information from cli...
Artificial intelligence in nanomedicine.
Nanoscale horizons
Oct 15, 2018
The field of nanomedicine has made substantial strides in the areas of therapeutic and diagnostic development. For example, nanoparticle-modified drug compounds and imaging agents have resulted in markedly enhanced treatment outcomes and contrast eff...
The effect of establishing pre-angiography thresholds on contrast utilization.
Journal of interventional cardiology
Dec 20, 2017
INTRODUCTION: Contrast induced nephropathy is linked to contrast utilization and strategies for minimizing renal injury are incorporated into many laboratories that perform coronary angiography. Contrast limits have been described, below which there ...
Temporal case-based reasoning for type 1 diabetes mellitus bolus insulin decision support.
Artificial intelligence in medicine
Oct 3, 2017
Individuals with type 1 diabetes have to monitor their blood glucose levels, determine the quantity of insulin required to achieve optimal glycaemic control and administer it themselves subcutaneously, multiple times per day. To help with this proces...
Application of Machine-Learning Models to Predict Tacrolimus Stable Dose in Renal Transplant Recipients.
Scientific reports
Feb 8, 2017
Tacrolimus has a narrow therapeutic window and considerable variability in clinical use. Our goal was to compare the performance of multiple linear regression (MLR) and eight machine learning techniques in pharmacogenetic algorithm-based prediction o...
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