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Machine learning methods were used to develop predictive models for a classification task, to predict the probability of ICU discharge the day after surgery (further referred to as 'second day of discharge prediction'), and for a regression task, to predict the day of ICU dischargeas a discrete variable (further referred to as 'day of discharge prediction').
These patterns were used to develop predictive tests, which were rapidly shepherded into clinical trials.
These epitopes were used to develop predictive methods.
First, the RSM was used to develop predictive models for the performance properties of CTB.
Factorial analysis was used to develop predictive equations for drug loading, drug release kinetics, and cell internalization.
Response surface methodology (RSM) and artificial neural network (ANN) were used to develop predictive models for simulation and optimization of the biosorption process.
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To help in developing a control programme, delineating areas of risk, geographical information system and remotely sensed environmental images were used to developed predictive risk maps of the probability of occurrence of the disease and quantify the risk for infection in Ogun State, Nigeria.
The resulting predictor is used to develop a predictive feedback controller.
The physico-mechanical properties of rocks including uniaxial compressive strength, P-wave velocity, bulk density and porosity were used to develop the predictive models.
The experimental results were used to develop the predictive formulae for the wave runup and rundown on the perforated cylinder, which can be easily used for design applications.
By applying self-organizing molecular field analysis (SOMFA), these data were used to develop a predictive model for future drug design.
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used to develop prognostic
used to implement predictive
used to construct predictive
used to divide predictive
used to build predictive
used to select predictive
used to assess predictive
used to establish predictive
used to improve predictive
used to derive predictive
used to develop online
used to represent predictive
used to develop new
used to study predictive
used to produce predictive
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