References
- HaugenDFHjermstadMJHagenNCaraceniAKaasaS(EPCRC) EPCRCAssessment and classification of cancer breakthrough pain: a systematic literature reviewPain2010149347648220236762
- ZeppetellaGO’DohertyCACollinsSPrevalence and characteristics of breakthrough pain in cancer patients admitted to a hospiceJ Pain Symptom Manage2000202879210989246
- SwanwickMHaworthMLennardRFThe prevalence of episodic pain in cancer: a survey of hospice patients on admissionPalliat Med200115191811212475
- PortenoyRKPayneDJacobsenPBreakthrough pain: characteristics and impact in patients with cancer painPain1999811–212913410353500
- PetzkeFRadbruchLZechDLoickGGrondSTemporal presentation of chronic cancer pain: transitory pains on admission to a multidisciplinary pain clinicJ Pain Symptom Manage199917639140110388244
- Gomez-BatisteXMadridFMorenoFBreakthrough cancer pain: prevalence and characteristics in patients in Catalonia, SpainJ Pain Symptom Manage2002241455212183094
- FortnerBVOkonTAPortenoyRKA survey of pain-related hospitalizations, emergency department visits, and physician office visits reported by cancer patients with and without history of breakthrough painJ Pain200231384414622852
- FinePGBuschMACharacterization of breakthrough pain by hospice patients and their caregiversJ Pain Symptom Manage19981631791839769620
- MercadanteSMaddaloniSRoccellaSSalvaggioLPredictive factors in advanced cancer pain treated only by analgesicsPain19925021511551408310
- CaraceniAMartiniCZeccaEBreakthrough pain characteristics and syndromes in patients with cancer pain. An international surveyPalliat Med200418317718315198130
- BurtonBZeppetellaGAssessing the impact of breakthrough cancer painBr J Nurs20112010S14S16S1921647006
- HolenJCHjermstadMJLogeJHPain assessment tools: is the content appropriate for use in palliative care?J Pain Symptom Manage200632656758017157759
- HagenNAStilesCNekolaichukCThe alberta breakthrough pain assessment tool for cancer patients: a validation study using a delphi process and patient think-aloud interviewsJ Pain Symptom Manage200835213615218178370
- DaviesANCancer-related breakthrough painBr J Hosp Med (Lond)200667641441616918095
- LangleyPSageSInduction of selective Bayesian classifiersProc Tenth Int Conf Uncertain Artif Intell19941990399406
- KuzniewiczMWVasilevskisEELaneRVariation in ICU risk-adjusted mortality: impact of methods of assessment and potential confoundersChest200813361319132718403657
- Murphy-FilkinsRTeresDLemeshowSHosmerDWEffect of changing patient mix on the performance of an intensive care unit severity-of-illness model: how to distinguish a general from a specialty intensive care unitCrit Care Med19962412196819738968263
- HigginsTLQuantifying risk and benchmarking performance in the adult intensive care unitJ Intensive Care Med200722314115617562738
- HigginsTLEstafanousFGLoopFDICU admission score for predicting morbidity and mortality risk after coronary artery bypass graftingAnn Thorac Surg1997644105010589354526
- TeasdaleGJennettBAssessment of coma and impaired consciousness. A practical scaleLancet197430478728184
- BarbiniPCeveniniGFuriniSBarbiniEA naive approach for deriving scoring systems to support clinical decision makingJ Eval Clin Pract20142011623648123
- CeveniniGBarbiniEMassaiMRBarbiniPA naive Bayes classifier for planning transfusion requirements in heart surgeryJ Eval Clin Pr20131912529
- MercadanteSMarchettiPCuomoAMammucariMCaraceniABreakthrough pain and its treatment: critical review and recommendations of IOPS (Italian Oncologic Pain Survey) expert groupSupport Care Cancer201624296196826438145
- PortenoyRKHagenNABreakthrough pain: definition, prevalence and characteristicsPain19904132732811697056
- DaviesANDickmanAReidCStevensAMZeppetellaGThe management of cancer-related breakthrough pain: recommendations of a task group of the Science Committee of the Association for Palliative Medicine of Great Britain and IrelandEur J Pain200913433133818707904
- Samolsky DekelBGRemondiniFGoriAVasarriADi NinoGFMelottiRMDevelopment, validation and psychometric properties of a diagnostic/prognostic tool for breakthrough pain in mixed chronic-pain patientsClin Neurol Neurosurg2016141232926731461
- HollanderMWolfeDAChickenENonparametric Statistical Methods2Hoboken, NJJohn Wiley & Sons, Inc2014
- R Core teamR Core TeamR A Language and Environment for Statistical ComputingR Foundation for Statistical ComputingVienna, Austria Available from: https://www.R-project.org/201555275286
- HemingwayHCroftPPerelPPrognosis research strategy (PROGRESS) 1: a framework for researching clinical outcomesBMJ2013346e559523386360
- SteyerbergEWMoonsKGvan der WindtDAPrognosis research strategy (PROGRESS) series 3: prognostic model researchPLoS Med2013102e100138123393430
- ShahianDMBlackstoneEHEdwardsFHCardiac surgery risk models: a position articleAnn Thorac Surg20047851868187715511504
- JaimesFFarbiarzJAlvarezDMartinezCComparison between logistic regression and neural networks to predict death in patients with suspected sepsis in the emergency roomCrit Care200592R150R15615774048
- DreiseitlSOhno-MachadoLLogistic regression and artificial neural network classification models: a methodology reviewJ Biomed Inform2002355–635235912968784
- den BoerSde KeizerNFde JongeEPerformance of prognostic models in critically ill cancer patients – a reviewCrit Care200594R458R46316137361
- BarbiniECeveniniGScollettaSBiagioliBGiomarelliPBarbiniPA comparative analysis of predictive models of morbidity in intensive care unit after cardiac surgery – part I: model planningBMC Med Inf Decis Mak2007735
- BiagioliBScollettaSCeveniniGBarbiniEGiomarelliPBarbiniPA multivariate Bayesian model for assessing morbidity after coronary artery surgeryCrit Care2006103R9416813658
- CaruanaRNiculescu-MizilAAn empirical comparison of supervised learning algorithmsProceedings of the 23rd International Conference on Machine LearningPittsburgh, PAACM New York, NY, USA1611682006
- AYNgJordanMOn generative vs discriminative classifiers: a comparison of logistic regression and naive bayesProc Adv Neural Inf Process2002283169187