Search results for "Predictive mode"

showing 5 items of 75 documents

Enhanced prediction of hemoglobin concentration in a very large cohort of hemodialysis patients by means of deep recurrent neural networks.

2019

Erythropoiesis Stimulating Agents (ESAs) have become a standard anemia management tool for End Stage Renal Disease (ESRD) patients. However, dose optimization constitutes an extremely challenging task due to huge inter and intra-patient variability in the responses to ESA administration. Current data-based approaches to anemia control focus on learning accurate hemoglobin prediction models, which can be later utilized for testing competing treatment choices and choosing the optimal one. These methods, despite being proven effective in practice, present several shortcomings which this paper intends to tackle. Namely, they are limited to a small cohort of patients and, even then, they fail to…

medicine.medical_specialtyComputer scienceAnemiamedicine.medical_treatmentMedicine (miscellaneous)End stage renal diseaseTask (project management)03 medical and health sciencesHemoglobins0302 clinical medicineArtificial IntelligenceRenal DialysismedicineHumansProspective StudiesIntensive care medicine030304 developmental biology0303 health sciencesbusiness.industryDeep learningmedicine.diseaseRecurrent neural networkCohortHematinicsKidney Failure ChronicArtificial intelligenceHemodialysisNeural Networks Computerbusiness030217 neurology & neurosurgeryPredictive modellingArtificial intelligence in medicine
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Adaptive Methodology for Designing a Predictive Model of Cardiac Arrhythmia Symptoms Based on Cubic Neural Unit

2017

A cubic neural unit is a kind of a higher-order neural unit which can be used for prediction tasks among others, in the medical field. The example of the tasks includes monitoring cardiac behavior in real-time either for preemptive treatment, or for supporting a doctor to reach a more accurate diagnosis. We propose a predictive model which has been developed as an application in open source code with the aim to make it publicly accessible for research community and medical professionals and also to decrease the implementation cost. The proposed model uses sample-by-sample adaptation of the gradient descent method with error backpropagation. This paper presents an application of a cubic neur…

predictive modelcardiac arrhythmiaCubic neural unitadaptive methodology
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SUSTAINABLE MOBILITY: SIMULATION OF THE ADOPTION OF FUEL CELL ELECTRIC VEHICLES

2022

predictive modelfuel cell vehicleforecasting for FCEVhydrogenElectric mobilityplug-in hybridsocio-technical transition
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Computation of the regime configuration of a meandering stream

2004

Regime channel formation is a delicate adaptation to the imposed environmental conditions compatible with flow and sediment transport mechanisms. The present paper concerns the computation of the regime configuration of a meandering stream. It is supposed that the channel develops until it reaches the state of “final thermodynamic equilibrium”, where the ratio of the kinetic energy of the flow to its cross-sectional potential energy is minimum. An optimization procedure that allows the analysis of the regime channel formation is presented and it is checked using a real case.

predictive modelregime configurationriver’s plane-form evolutionpredictive model; regime configuration; river’s plane-form evolution
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Environmental drivers of lake profundal macroinvertebrate community variation : implications for bioassessment

2011

vesieläimistöbioassessmentecological stoichiometryvesiensuojelusyvänteetstable isotopesVesipolitiikan puitedirektiiviravinteetjärvetvesistönkuormitusWater Framework Directivepohjaeläimistöekologinen tilapredictive modellingprofundal macroinvertebrates
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