0000000000542600

AUTHOR

Angele Giuliano

0000-0002-2281-6970

showing 2 related works from this author

A REST-based framework to support non-invasive and early coeliac disease diagnosis

2019

The health sector has traditionally been one of the early adopters of databases, from the most simple Electronic Health Record (formerly Computer-Based Patient Record) systems in use in general practice, hospitals and intensive care units to big data, multidata based systems used to support diagnosis and care decisions. In this paper we present a framework to support non-invasive and early diagnosis of coeliac disease. The proposed framework makes use of well-known technologies and techniques, both hardware and software, put together in a novel way. The main goals of our framework are: (1) providing users with a reliable and fast repository of a large amount of data; (2) to make such reposi…

0301 basic medicineDecision support systemData processingSIMPLE (military communications protocol)Settore INF/01 - Informaticabusiness.industryComputer scienceBig dataHealth care systemData scienceDatabase03 medical and health sciencesEarly adopter030104 developmental biology0302 clinical medicineSoftwareIntensive careRest (finance)030211 gastroenterology & hepatologybusinessCoeliac disease diagnosis supportHealth care systems
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Recognizing the Emergent and Submerged Iceberg of the Celiac Disease: ITAMA Project-Global Strategy Protocol.

2022

Coeliac disease (CD) is frequently underdiagnosed with a consequent heavy burden in terms of morbidity and health care costs. Diagnosis of CD is based on the evaluation of symptoms and anti-transglutaminase antibodies IgA (TGA-IgA) levels, with values above a tenfold increase being the basis of the biopsy-free diagnostic approach suggested by present guidelines. This study showcased the largest screening project for CD carried out to date in school children (n=20,000) aimed at assessing the diagnostic accuracy of minimally invasive finger prick point-of-care tests (POCT) which, combined with conventional celiac serology and the aid of an artificial intelligence-based system, may eliminate t…

Settore INF/01 - Informaticaintestinal biopsypoint-of-care testanti-transglutaminaseguidelinesnegative predictive valueartificial intelligenceESPGHANmucosal depositsPediatricscoeliac diseaseSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)Pediatric reports
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