Correction to: Pharmacometabolomics applied to zonisamide pharmacokinetic parameter prediction
نویسندگان
چکیده
منابع مشابه
The Effect of Motion Correction on Pharmacokinetic Parameter Estimation
A dynamic-contrast-enhanced magnetic resonance imaging (DCE-MRI) dataset consists of many imaging frames, often acquired both before and after contrast injection. Due to the length of time spent acquiring images, patient motion is likely and image re-alignment or registration is required before further analysis such as pharmacokinetic model fitting. Non-rigid image registration procedures may b...
متن کاملParticle Swarm Optimization Based Parameter Identification Applied to a Target Tracker Robot with Flexible Joint
This paper focuses on parameter identification of a target tracker robot possessing flexible joints using particle swarm optimization (PSO) algorithm. Since, belt and pulley mechanisms are known as flexible joints in robotic systems, their elastic behavior affecting a tracker robot is investigated in this work. First, dynamic equations governing the robot behavior are extracted taking into acco...
متن کاملChromatic Correction Applied to Outdoor Images
The color of an image may be affected by many factors such as illumination, complex and multispectral reflections, and even the acquisition device. Especially in outdoor scenes, these conditions cannot be controlled. In order to use the information of an image, the latter must present the information as closer as possible to the original scene. Sometimes images are affected by a dominant color ...
متن کاملUniversal Prediction Applied to Stylistic Music Generation
Capturing a style of a particular piece or a composer is not an easy task. Several attempts to use machine learning methods to create models of style have appeared in the literature. These models do not provide an intentional description of some musical theory but rather use statistical techniques to capture regularities that are typical of certain music experience. A standard procedure in this...
متن کاملNeural Networks Applied to Switching Prediction
This paper describes a solution to Switching Detection Challenge. The goal of the challenge is to predict for search sessions whether the users switch to different search engines. This information can be used for example in measuring user satisfaction with search results. This paper describes the features chosen as the most predictive, and explaines machine learning techniques used.
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Metabolomics
سال: 2018
ISSN: 1573-3882,1573-3890
DOI: 10.1007/s11306-018-1378-0