0000000000117982

AUTHOR

Maurizio Cariati

showing 2 related works from this author

Endovascular management of the deep venous thrombosis: A new challenging role for the endovascular specialist in 2020

2020

Over the last years, the endovascular approach to the management of the acute and chronic deep vein thrombosis (DVT) has gained more and more attention from the scientific community. DVT is the third most common cardiovascular disease after coronary heart disease and stroke, with classic treatment based on anticoagulation. Recent evidences have highlighted the risk of postthrombotic syndrome as high as 30%-50% in proximal ilio-femoral lesions, with irreversible clinical symptoms and impact on the quality of life of the population. Since 2000s, the new concept of thrombus removal in the acute phase has been supported by the introduction of different techniques based on the endovascular ablat…

medicine.medical_specialty[SDV]Life Sciences [q-bio]medicine.medical_treatmentDeep veinPopulationDiseaseIliac Vein030204 cardiovascular system & hematologyPostthrombotic Syndrome03 medical and health sciences0302 clinical medicineFibrinolysismedicineHumansThrombolytic TherapyRadiology Nuclear Medicine and imagingcardiovascular diseases030212 general & internal medicineThrombusIntensive care medicineeducationStrokeComputingMilieux_MISCELLANEOUSVenous Thrombosiseducation.field_of_studybusiness.industryEndovascular ProceduresGeneral Medicinemedicine.diseaseThrombosis3. Good healthVenous thrombosisTreatment Outcomemedicine.anatomical_structureQuality of LifeCardiology and Cardiovascular MedicinebusinessCatheterization and Cardiovascular Interventions
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Machine Learning to Predict In-Hospital Mortality in COVID-19 Patients Using Computed Tomography-Derived Pulmonary and Vascular Features

2021

Pulmonary parenchymal and vascular damage are frequently reported in COVID-19 patients and can be assessed with unenhanced chest computed tomography (CT), widely used as a triaging exam. Integrating clinical data, chest CT features, and CT-derived vascular metrics, we aimed to build a predictive model of in-hospital mortality using univariate analysis (Mann–Whitney U test) and machine learning models (support vectors machines (SVM) and multilayer perceptrons (MLP)). Patients with RT-PCR-confirmed SARS-CoV-2 infection and unenhanced chest CT performed on emergency department admission were included after retrieving their outcome (discharge or death), with an 85/15% training/test dataset spli…

Medicine (miscellaneous)X-ray computedtomography030204 cardiovascular system & hematologyMachine learningcomputer.software_genreArticlelung030218 nuclear medicine & medical imaging03 medical and health sciences0302 clinical medicinepulmonary arterymedicine.arterymedicinesupport vector machinecomputerUnivariate analysisLungbusiness.industryRArea under the curveCOVID-19Emergency departmentneural networksmachine learningmedicine.anatomical_structureRadiological weaponPulmonary arteryMann–Whitney U testMedicineprognosisArtificial intelligenceTomographybusinesscomputerJournal of Personalized Medicine
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