Search results for "predictive"

showing 10 items of 1373 documents

Integrated treatment of first episode psychosis with online training (e-learning): study protocol for a randomised controlled trial

2014

Background: The integrated treatment of first episode psychosis has been shown to improve functionality and negative symptoms in previous studies. In this paper, we describe a study of integrated treatment (individual psychoeducation complementary to pharmacotherapy) versus treatment as usual, comparing results at baseline with those at 6-month re-assessment (at the end of the study) for these patients, and online training of professionals to provide this complementary treatment, with the following objectives: 1) to compare the efficacy of individual psychoeducation as add-on treatment versus treatment as usual in improving psychotic and mood symptoms; 2) to compare adherence to medication,…

Time Factorsmedicine.medical_treatmentGlobal Assessment of FunctioningMedicine (miscellaneous)Liebowitz social anxiety scaleWeb-based instructionlaw.inventionStudy Protocolmulticenter trialClinical ProtocolsRandomized controlled triallawSurveys and QuestionnairesSingle-Blind MethodPharmacology (medical)PHARMACOLOGY (MEDICAL)validationPositive and Negative Syndrome ScaleCombined Modality TherapyTreatment OutcomeResearch Designspanish versionAprenentatge electrònicAnxietymedicine.symptomAntipsychotic Agentsmedicine.medical_specialtyPsicosiMedication Adherencescale1st-episode psychosisPredictive Value of TestsPsychoeducationmedicineHumansSocial BehaviorPsychiatryPsychiatric Status Rating ScalesInternetbusiness.industryMEDICINEBrain-Derived Neurotrophic FactorHamilton Rating Scale for DepressionPsychoses5-year follow-upstandard treatementPsychotherapyAffectLogistic ModelsMoodPsychotic Disordersopus trialSpainquality-of-lifeLinear ModelsQuality of Lifebusinesscognitive-behavior therapyBiomarkersComputer-Assisted InstructionTrials
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Metabolic mapping with bioluminescence: basic and clinical relevance

2002

This review is focused on metabolic mapping in biological tissue with quantitative bioluminescence and single photon imaging. Metabolites, such as ATP, glucose and lactate, can be imaged quantitatively and within microscopic dimensions in cryosections from shock frozen biological specimens using enzyme reactions and light emission by luciferases. The technique has been applied in numerous targets and models of experimental biomedical research, such as multicellular spheroids, various organs of laboratory animals in a physiological or pathophysiological state, and even in plant seeds. Among numerous other aspects, data obtained with this method have contributed to the elucidation of mechanis…

Tomography Emission-Computed Single-PhotonPathologymedicine.medical_specialtyCellBioengineeringIn situ hybridizationBiologymedicine.diseaseMalignancyMetastasismedicine.anatomical_structurePredictive Value of TestsNeoplasmsLuminescent MeasurementsImmunologyBiomarkers TumormedicineHumansBioluminescence imagingBioluminescenceImmunohistochemistryLight emissionMolecular BiologyBiotechnologyBiomolecular Engineering
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Congenital hypothyroidism: A 2020-2021 consensus guidelines update-An ENDO-European Reference Network initiative endorsed by the European Society for…

2021

Background: An ENDO-European Reference Network (ERN) initiative was launched that was endorsed by the European Society for Pediatric Endocrinology and the European Society for Endocrinology with 22 participants from the ENDO-ERN and the two societies. The aim was to update the practice guidelines for the diagnosis and management of congenital hypothyroidism (CH). A systematic literature search was conducted to identify key articles on neonatal screening, diagnosis, and management of primary and central CH. The evidence-based guidelines were graded with the Grading of Recommendations, Assessment, Development and Evaluation system, describing both the strength of recommendations and the quali…

Transition to Adult Caremedicine.medical_specialtyConsensusdyshormonogenesisPediatric endocrinologyEndocrinology Diabetes and MetabolismLevothyroxine030209 endocrinology & metabolismHarmonization03 medical and health sciences0302 clinical medicineEndocrinologyNeonatal ScreeningPredictive Value of TestsRisk FactorsInternal medicineEpidemiologyCentral hypothyroidismneonatal screeningHumansMedicineguidelinesGrading (education)thyroid dysgenesisCongenital hypothyroidism guidelines pediatric endocrinologycongenital hypothyroifidm consensus guideline EndoERNEvidence-Based Medicinebusiness.industryInfant Newborncentral hypothyroidismcongenital hypothyroidismPrognosismedicine.diseaseCongenital hypothyroidismBenchmarkingEndocrinology030220 oncology & carcinogenesisFamily medicineEtiologySpecial Articlesbusinessmedicine.drugYearbook of Paediatric Endocrinology
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Normal and Abnormal Tissue Classification in Positron Emission Tomography Oncological Studies

2018

Positron Emission Tomography (PET) imaging is increasingly used in radiotherapy environment as well as for staging and assessing treatment response. The ability to classify PET tissues, as normal versus abnormal tissues, is crucial for medical analysis and interpretation. For this reason, a system for classifying PET area is implemented and validated. The proposed classification is carried out using k-nearest neighbor (KNN) method with the stratified K-Fold Cross-Validation strategy to enhance the classifier reliability. A dataset of eighty oncological patients are collected for system training and validation. For every patient, lesion (abnormal tissue) and background (normal tissue around …

Treatment responsepositron emission tomographyK-nearest neighborKernel support vector machineComputer scienceNormal tissueK-Fold cross-validation030218 nuclear medicine & medical imagingk-nearest neighbors algorithmLesion03 medical and health sciences0302 clinical medicinetissue classificationmedicineRadiation treatment planningFuzzy C-Mean1707Settore ING-INF/05 - Sistemi Di Elaborazione Delle Informazionimedicine.diagnostic_testbusiness.industryPattern recognitionComputer Graphics and Computer-Aided DesignPredictive valueSupport vector machineFuzzy C-MeansPositron emission tomography030220 oncology & carcinogenesisComputer Vision and Pattern RecognitionArtificial intelligencemedicine.symptombusinessPattern Recognition and Image Analysis
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A combination of umbilical artery PI and normalized blood flow volume in the umbilical vein: Venous–arterial index for the prediction of fetal outcome

2008

Abstract Objective The objective was to assess the diagnostic power of the umbilical venous–arterial index (VAI) as a combination of the pulsatility index in the umbilical artery and the normalized blood flow volume in the umbilical vein for the prediction of poor fetal outcome. Study design This was a prospective clinical study in which the umbilical artery PI (UAPI), the normalized umbilical vein blood volume flow rate ( n UV; ml/min/kg estimated fetal body weight), the venous–arterial index (VAI; n UV/UAPI), and the pulsatility index (PI) in the umbilical artery (UA), uterine artery (utA), middle cerebral artery (MCA), and aorta were determined in 181 fetuses once (at between 17 and 41 w…

Umbilical Veinsmedicine.medical_specialtyBlood volumeInfant Newborn DiseasesUltrasonography PrenatalUmbilical ArteriesUmbilical veinPredictive Value of TestsPregnancymedicine.arteryInternal medicinemedicineHealth Status IndicatorsHumansPlacental CirculationProspective StudiesUterine arteryAortaFetusObstetricsbusiness.industryIncidenceInfant NewbornPregnancy OutcomeObstetrics and GynecologyUltrasonography DopplerUmbilical arteryReproductive MedicinePulsatile FlowMiddle cerebral arteryCardiologyFemaleApgar scorebusinessEuropean Journal of Obstetrics & Gynecology and Reproductive Biology
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The Role of Novel Bladder Cancer Diagnostic and Surveillance Biomarkers—What Should a Urologist Really Know?

2022

The aim of this review is to analyze and describe the current landscape of bladder cancer diagnostic and surveillance biomarkers. We researched the literature from 2016 to November 2021 to find the most promising new molecules and divided them into seven different subgroups based on their function and location in the cell. Although cystoscopy and cytology are still the gold standard for diagnosis and surveillance when it comes to bladder cancer (BCa), their cost is quite a burden for national health systems worldwide. Currently, the research is focused on finding a biomarker that has high negative predictive value (NPV) and can exclude with a certainty the presence of the tumor, considering…

Urinary Bladder NeoplasmsdiagnosisPredictive Value of TestsUrologistsHealth Toxicology and MutagenesissurveillanceBiomarkers TumorPublic Health Environmental and Occupational Healthbiomarkersbladder cancerHumansCystoscopyInternational Journal of Environmental Research and Public Health
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Infrequent promoter methylation of the MGMT gene in liver metastases from uveal melanoma.

2008

Uveal melanoma is associated with a high mortality rate once metastases occur, with over >90% of metastatic patients dying within less than 1 year from metastases to the liver. The intraarterial hepatic (iah) administration of the alkylating agent fotemustine holds some promise with response rates of 36% and median survival of 15 months. Here, we investigated whether the DNA-repair-protein MGMT may be involved in the variability of response to fotemustine and temozolomide in uveal melanoma. Epigenetic inactivation of MGMT has been demonstrated to be a predictive marker for benefit from alkylating agent therapy in glioblastoma. We found a methylated MGMT promoter in 6% of liver metastases fr…

Uveal NeoplasmsCancer ResearchPathologymedicine.medical_specialtyProtein Array AnalysisAntineoplastic AgentsBiologyMetastasischemistry.chemical_compoundPredictive Value of TestsmedicineBiomarkers TumorHumansPromoter Regions GeneticneoplasmsDNA Modification MethylasesMelanomaTemozolomidePredictive markerTissue microarrayMelanomaTumor Suppressor ProteinsLiver NeoplasmsCancerDNA Methylationmedicine.diseaseImmunohistochemistrydigestive system diseasesNitrogen mustardDNA Repair EnzymesOncologychemistryCancer researchFotemustinemedicine.drugInternational journal of cancer
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Signal Spectrum-Based Machine Learning Approach for Fault Prediction and Maintenance of Electrical Machines

2022

Industrial revolution 4.0 has enabled the advent of new technological advancements, including the introduction of information technology with physical devices. The implementation of information technology in industrial applications has helped streamline industrial processes and make them more cost-efficient. This combination of information technology and physical devices gave birth to smart devices, which opened up a new research area known as the Internet of Things (IoT). This has enabled researchers to help reduce downtime and maintenance costs by applying condition monitoring on electrical machines utilizing machine learning algorithms. Although the industry is trying to move from schedu…

VDP::Teknologi: 500Control and OptimizationRenewable Energy Sustainability and the EnvironmentEnergy Engineering and Power TechnologyBuilding and ConstructionElectrical and Electronic Engineeringartificial intelligence; fault prediction; predictive maintenance; machine learning; neural networkEngineering (miscellaneous)Energy (miscellaneous)
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Digital Twin framework for automated fault source detection and prediction for comfort performance evaluation of existing non-residential Norwegian b…

2023

Numerous buildings fall short of expectations regarding occupant satisfaction, sustainability, or energy efficiency. In this paper, the performance of buildings in terms of occupant comfort is evaluated using a probabilistic model based on Bayesian networks (BNs). The BN model is founded on an in-depth anal- ysis of satisfaction survey responses and a thorough study of building performance parameters. This study also presents a user-friendly visualization compatible with BIM to simplify data collecting in two case studies from Norway with data from 2019 to 2022. This paper proposes a novel Digital Twin approach for incorporating building information modeling (BIM) with real-time sensor data…

VDP::Teknologi: 500Mechanical EngineeringBuilding information modelling (BIM)Predictive maintenanceBuilding and ConstructionFacility managementElectrical and Electronic EngineeringFault detectionDigital twinCivil and Structural EngineeringDecision-making
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Safety and diagnostic accuracy of neuroendoscopic biopsies: an international multicenter study

2013

Object Analysis of the safety and morbidity of neuroendoscopic biopsies (NEBs), as well as the reliability in obtaining an accurate diagnosis, has until now been based on studies with relatively small sample sizes. Through the cooperative efforts of several international medical centers, authors of the present study collected data on a large number of patients to obtain better insight into this issue. When possible, they compared pathology obtained through an NEB with the “gold-standard” pathology obtained in open surgery. Methods Thirteen randomly chosen medical centers in 9 countries collected data for patients who had undergone NEB, which were then analyzed for universal complications, …

Ventriculostomymedicine.medical_specialtyStereotactic biopsymedicine.diagnostic_testbusiness.industryGeneral surgerymedicine.medical_treatmentMEDLINERetrospective cohort studyGeneral MedicineNeuropathologyEndoscopySurgeryPredictive value of testsBiopsymedicinebusinessJournal of Neurosurgery: Pediatrics
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