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1Health metrics and evaluation: strengthening the science.
C. Murray, and J. Frenk. Lancet, 371 (9619): 1191-9 (April 2008)4583<m:linebreak></m:linebreak>PUBM: Print; JID: 2985213R; CIN: Lancet. 2008 Apr 5;371(9619):1139-40. PMID: 18395559; RF: 90; ppublish;<m:linebreak></m:linebreak>Mesures de resultats.
2 years ago by @jepcastel
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ValidationStudiesasTopic
CommunityHealthPlanning:organization&administ
Biological
CommunityHealthPlanning:trends
HealthStatus
VitalStatistics
Forecasting
ResourceAllocation:organization&administration
Animals
CommunityHealthServices:trends
Cost-BenefitAnalysis
ProgramEvaluation:methods
Models
InformationSystems
CommunityHealthPlanning
WorldHealth
RiskAssessment
Humans
CommunityHealthServices
ResourceAllocation
CommunityHealthServices:organization&administ
InformationSystems:organization&administration
ProgramEvaluation
PolicyMaking
ResourceAllocation:methods
CommunicationBarriers
CommunityHealthPlanning:methods
ValidationStudiesasTopicCommunityHealthPlanning:organization&administBiologicalCommunityHealthPlanning:trendsHealthStatusVitalStatisticsForecastingResourceAllocation:organization&administrationAnimalsCommunityHealthServices:trendsCost-BenefitAnalysisProgramEvaluation:methodsModelsInformationSystemsCommunityHealthPlanningWorldHealthRiskAssessmentHumansCommunityHealthServicesResourceAllocationCommunityHealthServices:organization&administInformationSystems:organization&administrationProgramEvaluationPolicyMakingResourceAllocation:methodsCommunicationBarriersCommunityHealthPlanning:methods
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1Web-based questionnaires: the future in epidemiology?
M. van Gelder, R. Bretveld, and N. Roeleveld. American journal of epidemiology, 172 (11): 1292-8 (December 2010)5789<m:linebreak></m:linebreak>JID: 7910653; aheadofprint;.
2 years ago by @jepcastel
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DataCollection:methods
PostalService:economics
PopulationSurveillance
Questionnaires:economics
Questionnaires
EpidemiologicResearchDesign
Forecasting
PostalService
PostalService:trends
DataCollection:trends
ReproducibilityofResults
PopulationSurveillance:methods
DataCollection:economics
DataCollection
Internet
Internet:economics
Internet:trends
DataCollection:methodsPostalService:economicsPopulationSurveillanceQuestionnaires:economicsQuestionnairesEpidemiologicResearchDesignForecastingPostalServicePostalService:trendsDataCollection:trendsReproducibilityofResultsPopulationSurveillance:methodsDataCollection:economicsDataCollectionInternetInternet:economicsInternet:trends
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1Performance measures for prediction models and markers: evaluation of predictions and classifications.
E. Steyerberg, B. Calster, and M. Pencina. Revista española de cardiología, 64 (9): 788-94 (September 2011)6490<br/>CI: Copyright (c) 2011; JID: 0404277; 0 (Biological Markers); 0 (Cholesterol, HDL); 2011/04/25 received; 2011/04/26 accepted; 2011/07/16 aheadofprint; ppublish;<br/>Models predictius; Proves diagnòstiques; Introductori.
2 years ago by @jepcastel
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ROCCurve
Humans
Calibration
AreaUnderCurve
BiologicalMarkers
Forecasting
HeartDiseases:classification
DataInterpretation
Cholesterol
DecisionSupportTechniques
HDL
ProportionalHazardsModels
Cardiology:statistics&numericaldata
HDL:blood
Cardiology:methods
Statistical
Models
Forecasting:methods
HeartDiseases
Cardiology
ROCCurveHumansCalibrationAreaUnderCurveBiologicalMarkersForecastingHeartDiseases:classificationDataInterpretationCholesterolDecisionSupportTechniquesHDLProportionalHazardsModelsCardiology:statistics&numericaldataHDL:bloodCardiology:methodsStatisticalModelsForecasting:methodsHeartDiseasesCardiology
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2Towards Forecasting Future Snow Cover Dynamics in the European Alps - The Potential of Long Optical Remote-Sensing Time Series
J. Koehler, A. Bauer, A. Dietz, and C. Kuenzer. Remote Sensing, (2022)
2 years ago by @se-group
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descartes
forecasting
earthobservation
t_interdisciplinary
t_journalmagazine
descartesforecastingearthobservationt_interdisciplinaryt_journalmagazine
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2Towards Forecasting Future Snow Cover Dynamics in the European Alps - The Potential of Long Optical Remote-Sensing Time Series
J. Koehler, A. Bauer, A. Dietz, and C. Kuenzer. Remote Sensing, (2022)
2 years ago by @andre.bauer
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myown
descartes
forecasting
earthobservation
t_interdisciplinary
t_journalmagazine
myowndescartesforecastingearthobservationt_interdisciplinaryt_journalmagazine
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1Improvement of forecasting and classification in smart metering systems using a neural compute stick
J. Olivares-Rojas, E. Reyes-Archundia, J. Gutierrez-Gnecchi, I. Molina-Moreno, and J. González-Serna. 2020 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC), 4, page 1-4. (November 2020)
4 years ago by @jcolivares
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myown
computer
improving
neural
stick
forecasting
classification
myowncomputerimprovingneuralstickforecastingclassification
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2Real-Time Reliability-based Dynamic Line Rating System for Transmission Asset Optimization
J. Call, K. Lindsey, P. Spillane, and R. Bliss. (2015)
4 years ago by @ceps
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Transmission
Dynamic
LiDAR
DLR
rating
monitor
Clearance
Forecasting
Smart
System
planning
grid
Line
Power
TransmissionDynamicLiDARDLRratingmonitorClearanceForecastingSmartSystemplanninggridLinePower
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2Real-Time Reliability-based Dynamic Line Rating System for Transmission Asset Optimization
J. Call, K. Lindsey, P. Spillane, and R. Bliss. (2015)
4 years ago by @chkokalis
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Transmission
line
Dynamic
LiDAR
DLR
rating
monitor
Clearance
Forecasting
Smart
planning
system
transmission
grid
Power
TransmissionlineDynamicLiDARDLRratingmonitorClearanceForecastingSmartplanningsystemtransmissiongridPower
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1Machine learning of atmospheric chemistry. Applications to a global chemistry transport model.
M. Evans, and C. Keller. AGU Fall Meeting Abstracts, 2017, page A41H-2384. (December 2017)
4 years ago by @annakrause
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pde
forecasting
randomforest
climate
todo:read
pdeforecastingrandomforestclimatetodo:read
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1Introduction to Time Series and Forecasting
P. Brockwell, and R. Davis. Springer Texts in Statistics Springer International Publishing, (2016)
5 years ago by @pbett
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textbook
forecasting
statistics
textbookforecastingstatistics
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1What have we learnt from EUPORIAS climate service prototypes?
C. Buontempo, H. Hanlon, M. Bruno Soares, I. Christel, J. Soubeyroux, C. Viel, S. Calmanti, L. Bosi, P. Falloon, E. Palin and 7 other author(s). Climate Services, (July 2017)
7 years ago by @pbett
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colleagues
wind
energy
agriculture
climateservices
hydrology
seasonal
forecasting
euporias
renewables
visualisation
communication
colleagueswindenergyagricultureclimateserviceshydrologyseasonalforecastingeuporiasrenewablesvisualisationcommunication
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2Potential applications of subseasonal-to-seasonal (S2S) predictions
C. White, H. Carlsen, A. Robertson, R. Klein, J. Lazo, A. Kumar, F. Vitart, E. Coughlan de Perez, A. Ray, V. Murray and 24 other author(s). Met. Apps, (Apr 1, 2017)
7 years ago by @pbett
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colleagues
energy
MyECEMpaper
seasonal
forecasting
monthly
verification
colleaguesenergyMyECEMpaperseasonalforecastingmonthlyverification
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1Analysis of wind power productions by means of an analog model
M. Mart\'ın, F. Valero, A. Pascual, J. Sanz, and L. Frias. Atmospheric Research, (June 2014)
7 years ago by @pbett
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wind
energy
forecasting
renewables
windenergyforecastingrenewables
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1Current methods and advances in forecasting of wind power generation
A. Foley, P. Leahy, A. Marvuglia, and E. McKeogh. Renewable Energy, 37 (1): 1--8 (January 2012)
7 years ago by @pbett
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wind
energy
forecasting
review
renewables
windenergyforecastingreviewrenewables
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1Forecast Calibration and Combination: A Simple Bayesian Approach for ENSO
C. Coelho, S. Pezzulli, M. Balmaseda, F. Doblas-Reyes, and D. Stephenson. J. Climate, 17 (7): 1504--1516 (Apr 1, 2004)
7 years ago by @pbett
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ENSO
forecasting
statistics
ENSOforecastingstatistics
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2BreadCrumbs: Forecasting Mobile Connectivity
A. Nicholson, and B. Noble. Proceedings of the 14th ACM International Conference on Mobile Computing and Networking, page 46--57. New York, NY, USA, ACM, (2008)
8 years ago by @becker
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geo
inthesis
connectivity
wlan
forecasting
mobile
diss
forecast
spatial
geointhesisconnectivitywlanforecastingmobiledissforecastspatial
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325 years of time series forecasting
J. Gooijer, and R. Hyndman. International Journal of Forecasting, 22 (3): 443--473 (2006)
9 years ago by @bsc
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forecasting
forecasting
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1Forecasting High-Frequency Futures Returns Using Online Langevin Dynamics
H. Christensen, J. Murphy, and S. Godsill. Selected Topics in Signal Processing, IEEE Journal of, 6 (4): 366-380 (August 2012)
9 years ago by @krassi
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forecasting
particle
returns
filtering
forecastingparticlereturnsfiltering
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2Another look at measures of forecast accuracy
R. Hyndman, and A. Koehler. International Journal of Forecasting, 22 (4): 679--688 (00 2006)
9 years ago by @bsc
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forecasting
forecasting
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1Comments on "Prediction of femoral fracture load using automated finite element modeling" by J.H. Keyak et al. and "Prediction of femoral fracture load using finite element models: an examination of stress- and strain-based failure theories" by J.H. Keyak et al.
S. Wang, H. Wei, and C. Chen. J Biomech, 34 (4): 559--561 (April 2001)
13 years ago by @bunke
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Theoretical
Automation
Mechanical
FemoralFractures
Weight-Bearing
Models
Stress
FiniteElementAnalysis
Forecasting
etiology
TheoreticalAutomationMechanicalFemoralFracturesWeight-BearingModelsStressFiniteElementAnalysisForecastingetiology
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