Search results for " Predictor"

showing 10 items of 84 documents

The Impact of Pre-Operative Malperfusion on Outcome in Acute Type A Aortic Dissection

2015

Abstract Background Malperfusion adversely affects outcomes in patients with acute type A aortic dissection, but reliable quantitative data are lacking. Objectives The aim of this study was to analyze the impact of various forms of malperfusion on early outcome. Methods A total of 2,137 consecutive patients enrolled in GERAADA (German Registry for Acute Aortic Dissection Type A) who underwent surgery between 2006 and 2010, of whom 717 (33.6%) had any kind of pre-operative malperfusion, were retrospectively analyzed. Results All-cause 30-day mortality was 16.9% and varied substantially according to the number of organ systems affected by malperfusion (none, 12.6%; 1 system, 21.3%; 2 systems,…

Aortic dissectionmedicine.medical_specialtySurgical strategyAdverse outcomesbusiness.industryIndependent predictormedicine.diseasePre operativeSurgeryAcute typeInternal medicinemedicineCardiologyIn patientbusinessCardiology and Cardiovascular MedicineOrgan systemJournal of the American College of Cardiology
researchProduct

Two-level branch prediction using neural networks

2003

Dynamic branch prediction in high-performance processors is a specific instance of a general time series prediction problem that occurs in many areas of science. Most branch prediction research focuses on two-level adaptive branch prediction techniques, a very specific solution to the branch prediction problem. An alternative approach is to look to other application areas and fields for novel solutions to the problem. In this paper, we examine the application of neural networks to dynamic branch prediction. We retain the first level history register of conventional two-level predictors and replace the second level PHT with a neural network. Two neural networks are considered: a learning vec…

Artificial neural networkbusiness.industryTime delay neural networkComputer scienceVector quantizationLearning vector quantisationBranch predictorMachine learningcomputer.software_genreBackpropagationApplication areasHardware and ArchitectureArtificial intelligenceHardware_CONTROLSTRUCTURESANDMICROPROGRAMMINGTime seriesbusinesscomputerSoftwareJournal of Systems Architecture
researchProduct

Persistence of C-reactive protein increased levels and high disease activity are predictors of cardiovascular disease in patients with axial spondylo…

2022

AbstractAn accurate prediction of cardiovascular (CV) risk in patients with Axial Spondyloarthritis (axSpA) is a strong unmet need, as CV risk algorithms poorly perform in these subjects. The aim of this study was to establish whether the persistence of high C-reactive protein (CRP) and high disease activity may be considered predictive factors of CVD in axSpA. 295 patients without personal history of CVD, were consecutively enrolled in this study. To evaluate the relationship between CV events occurrence (fatal and non-fatal) and the persistence of increased CRP levels, ASDAS (Ankylosing Spondylitis Disease Activity Score) > 2.1, and BASDAI (Bath Ankylosing Spondylitis Disease Activity)…

Axial SpondyloarthritiMultidisciplinaryPersistence of C-reactive protein increased levels and high disease activity are predictors of cardiovascular disease in patients with axial spondyloarthritisSpondylarthritiSettore MED/16Severity of Illness IndexC-Reactive ProteinRetrospective StudieCardiovascular DiseasesCardiovascular DiseaseSpondylarthritisHumansSpondylitis AnkylosingAxial SpondyloarthritisHumanRetrospective Studies
researchProduct

Surveillance as determinant of long-term survival in non-transplanted hepatocellular carcinoma patients

2021

Purpose: We aimed at assessing the impact of surveillance on long-term survival in HCC patients. Methods: From the ITA.LI.CA database, we selected 1028 cases with long (≥5 years, LS group) and 2721 controls with short-term survival (&lt

Cancer Researchmedicine.medical_specialtyHepatocellular carcinomaSettore MED/12 - GASTROENTEROLOGIACancer stageIndependent predictorLogistic regressionlcsh:RC254-282Article03 medical and health sciencesLong-term survival0302 clinical medicineInternal medicineLong term survivalmedicineTreatment.Surveillancebusiness.industryCancer stageSettore MED/09 - MEDICINA INTERNAConfoundingmedicine.diseaselcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogensTreatmentCancer stage; Hepatocellular carcinoma; Long-term survival; Surveillance; TreatmentOncology030220 oncology & carcinogenesisHepatocellular carcinomaBaseline characteristics030211 gastroenterology & hepatologybusiness
researchProduct

Clinical predictors of adverse events in a 1 year follow-up study post-PTCA.

2002

Clinical predictors adverse events post-PTCA
researchProduct

Antiproliferative Activity Predictor: A New Reliable In Silico Tool for Drug Response Prediction against NCI60 Panel.

2022

In vitro antiproliferative assays still represent one of the most important tools in the anticancer drug discovery field, especially to gain insights into the mechanisms of action of anticancer small molecules. The NCI-DTP (National Cancer Institute Developmental Therapeutics Program) undoubtedly represents the most famous project aimed at rapidly testing thousands of compounds against multiple tumor cell lines (NCI60). The large amount of biological data stored in the National Cancer Institute (NCI) database and many other databases has led researchers in the fields of computational biology and medicinal chemistry to develop tools to predict the anticancer properties of new agents in advan…

CurcuminDatabases FactualOrganic Chemistryligand-based toolsAntineoplastic AgentsGeneral MedicineSettore CHIM/08 - Chimica FarmaceuticaCatalysisComputer Science ApplicationsInorganic Chemistrymolecular descriptorsGI50Cell Line Tumorantiproliferative activity predictor; NCI60; DRUDIT; ligand-based tools; molecular descriptors; GI<sub>50</sub>Physical and Theoretical Chemistryantiproliferative activity predictorDRUDITNCI60Molecular BiologySpectroscopyInternational journal of molecular sciences
researchProduct

Are the leukocyte telomere length attrition and telomerase activity alteration potential predictor biomarkers for sporadic TAA in aged individuals?

2014

A large variability in occurrence, complications, and age/gender manifestations characterizes individual susceptibility of sporadic thoracic aortic aneurysms (TAA), even in subjects with the same risk factor profiles. The reasons are poorly understood. On the other hand, TAA pathophysiology mechanisms remain unclear than those involved in abdominal aorta aneurysms. However, recent evidence is suggesting a crucial role of biological ageing in inter-individual risk variation of cardiovascular diseases, including sporadic TAA. Biological age rather than chronological age is a better predictor of vascular risk. Relevant assumptions support this concept. In confirming this evidence and our preli…

DNA ReplicationMaleTelomerasePathologymedicine.medical_specialtyAgingGenotypeEnzyme-Linked Immunosorbent AssayBiologyPolymerase Chain ReactionArticleAortic aneurysmRisk FactorsGenotypemedicineIn Situ Nick-End LabelingLeukocytesSporadic TAA. Biological ageing . Leukocyte telomere length attrition . Telomere activity alteration . Predictor TAAbiomarkersSettore MED/05 - Patologia ClinicaHumansGenetic Predisposition to DiseaseRisk factorTelomere ShorteningSettore MED/04 - Patologia GeneraleAortic Aneurysm ThoracicSettore MED/23 - Chirurgia CardiacaGeneral MedicineDNAMiddle AgedTelomeremedicine.diseaseMolecular medicineImmunohistochemistryPathophysiologyTelomereAgeingImmunologyFemaleGeriatrics and GerontologyBiomarkersAge (Dordrecht, Netherlands)
researchProduct

Institutional, pedagogical, psychosocial and socio-demographic factors related to academic performance at the University of Costa Rica: a multilevel …

2007

A multilevel analysis was conducted to predict final grades in courses from different majors for a sample, stratified by academic areas, of 848 students at the University of Costa Rica. A group of factors from institutional, socio-demographic, psychosocial and pedagogical aspects were employed as independent variables. The best predictor was the Admission Average, which combines grades from high school and an aptitude test score. Some non-cognitive variables were also explicative; the most important being the score on a scale of emotional intelligence. The methodology employed by the professor showed explicative power as well.

Educación superior rendimiento académico factores asociados modelos multinivel modelos jerárquicos variables predictoras variables institucionales variables pedagógicas variables psicosociales variables sociodemográficas
researchProduct

Differences in Perceived Occupational Stress by Demographic Characteristics, of European Emergency Medical Services Personnel during the COVID-19 Vir…

2021

Objectives: The outbreak of the COVID-19 pandemic has brought commercial, social, and economic consequences in every country that has experienced substantial SARS-CoV-2 infection rates. The complete change in the environment that took place due to the outbreak of the pandemic can lead to stressful situations, especially among healthcare personnel. Material and methods: The research were conducted during the COVID-19 pandemic between the 27 March 2020 and the 20 April 2020. The research included 1984 employees of emergency medical systems in seven European countries. An internet-based questionnaire format was adopted for the study (ΩMc-Donald &gt

Emergency proceduresmedicine.medical_specialtyCoronavirus disease 2019 (COVID-19)Medical professionalsLeadership and ManagementCOVID-19 pandemicHealth InformaticsNorwegianpredictors of stressArticleStress levelHealth Information ManagementHealth carePandemicEmergency medical servicesMedicinemedical professionalsStress predictorsEmergency medical servicesbusiness.industryHealth PolicyRCOVID-19Outbreakemergency medical servicesOccupational stressemergency procedureslanguage.human_languageFamily medicinelanguageMedicineOccupational stressbusinessoccupational stressHealthcare
researchProduct

Resolving reading disability : Childhood predictors and adult-age outcomes

2018

We examined frequency of adult-age reading disability (RD) and its childhood predictors among 48 adults (20 to 39 years) with documented childhood RD, and contrasted their cognitive skills, education, and employment with 37 matched controls. Among individuals with childhood RD, more than half had improved in their reading fluency to the level where the set criterion for adult-age RD was not met anymore. More fluent rapid naming, less severe childhood RD, and multiple support providers in childhood together predicted improvement of reading fluency. More fluent naming differentiated the childhood RD participants whose reading fluency had improved by adult-age from those participants whose RD …

EmploymentMaleReading disabilitylongitudinalmedia_common.quotation_subjectExperimental and Cognitive PsychologypitkittäistutkimusAdult age050105 experimental psychologyEducationDyslexiaFluencyYoung AdultCognitionReading (process)Developmental and Educational Psychologymedicinefollow-upHumans0501 psychology and cognitive sciencesCognitive skillLongitudinal Studiesta515aikuisetmedia_commonWorking memoryVerbal Behavioradult05 social sciencesreading disabilityDyslexia050301 educationGeneral Medicinelapsuusmedicine.diseasepersistence: predictorMemory Short-TermReadingEducation SpecialEducational StatusFemalePsychologylukihäiriöt0503 educationClinical psychologyDyslexia
researchProduct