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We use three machine learning methods and evaluate their predictive power in predicting the time to fix issues.
Pulse is a periodic process that enables proactive timing by predicting the time of future events rather than reacting to them with a time lag of at least 100 ms [3].
In this work, we demonstrated that gene expression in PBMC can be used for predicting the time of the upcoming relapse in MS. Using different prediction strategies to determine an appropriated gene set for accurate relapse prediction we found that the classifier that was based on all microarray genes had the best prediction.
For example, lack of methods for predicting the time of chemotherapy-induced nadir in individual patients under cytotoxic chemotherapy often impedes timely application of G-CSF.
Predicting the time until death by clinical scoring.
Factors predicting the time course to hypothyroidism were not identified.
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A simulation methodology for predicting the time-course of enzymatic digestions is described.
An analytical model for predicting the time-history response of a cantilever beam to arbitrary time-dependent thermal actuation is elaborated in this paper.
An inverse heat transfer procedure for predicting the time-varying thickness of phase-change banks on the inside surface of the walls of high temperature furnaces is presented.
The ambient temperature, wind speed, and solar radiation of the environmental factors were the inputs used for predicting the time-varying temperature of different layers inside the module.
This paper describes the development and operation of a finite difference heat model for predicting the time-based temperature profiles in mass concrete elements.
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