Zobrazeno 1 - 10
of 138
pro vyhledávání: '"Mandreoli P"'
Autor:
Anna Laura Fantuzzi, Elisa Berri, Lida Tartaglione, Marcora Mandreoli, Rossella Giannini, Sara Dominjanni, Silvia Porreca
Publikováno v:
Giornale di Clinica Nefrologia e Dialisi, Vol 36, Iss 1 (2024)
Pregnancy in patients with chronic kidney disease (CKD) represents a significant challenge for nephrologists and healthcare professionals involved in the care pathway, especially in advanced stages of the disease and during dialysis. From an epidemio
Externí odkaz:
https://doaj.org/article/fca3fb0cd7734aab8623b9245d05df34
Publikováno v:
Frontiers in Artificial Intelligence, Vol 7 (2024)
Knowledge Graphs (KGs) have revolutionized knowledge representation, enabling a graph-structured framework where entities and their interrelations are systematically organized. Since their inception, KGs have significantly enhanced various knowledge-
Externí odkaz:
https://doaj.org/article/c5e1ffe568c84a2aa23b9d3b2dc499d3
Autor:
Anna Laura Fantuzzi, Elisa Berri, Lida Tartagliolne, Marcora Mandreoli, Rossella Giannini, Sara Dominjanni, Silvia Porreca
Publikováno v:
Giornale di Clinica Nefrologia e Dialisi, Vol 36, Iss 1 (2024)
Chronic kidney disease (CKD or CKD [Chronic Kidney Disease]) is present in approximately 7% of the world population: several studies have highlighted socio-cultural discrimination, to the detriment of women, in referral to specialist nephrological ca
Externí odkaz:
https://doaj.org/article/c06ecc21998c4313b114febdf6b0e36f
Autor:
Marcora Mandreoli
Publikováno v:
Giornale di Clinica Nefrologia e Dialisi, Vol 35, Iss 1 (2023)
Systemic lupus erythematosus (SLE) has a clear prevalence in females. Although there are conflicting data, among males affected by SLE a higher proportion develops lupus nephritis, with a more severe histological and clinical pattern than in females.
Externí odkaz:
https://doaj.org/article/68528822045546b0a493b87a03a39c76
Autor:
Marcora Mandreoli
Publikováno v:
Giornale di Clinica Nefrologia e Dialisi, Vol 35, Iss 1 (2023)
Sex-based disparities in nephrology have been a historically understudied area. In nephrology, gender differences exist with regard to the epidemiology, evolution and prognosis of chronic kidney disease (CKD). In some cases, these differences run co
Externí odkaz:
https://doaj.org/article/c19c98d2155349309faaa721a67086c4
Autor:
Marco Antonio Tangaro, Pietro Mandreoli, Matteo Chiara, Giacinto Donvito, Marica Antonacci, Antonio Parisi, Angelica Bianco, Angelo Romano, Daniela Manila Bianchi, Davide Cangelosi, Paolo Uva, Ivan Molineris, Vladimir Nosi, Raffaele A. Calogero, Luca Alessandri, Elena Pedrini, Marina Mordenti, Emanuele Bonetti, Luca Sangiorgi, Graziano Pesole, Federico Zambelli
Publikováno v:
BMC Bioinformatics, Vol 22, Iss S15, Pp 1-20 (2021)
Abstract Background Improving the availability and usability of data and analytical tools is a critical precondition for further advancing modern biological and biomedical research. For instance, one of the many ramifications of the COVID-19 global p
Externí odkaz:
https://doaj.org/article/e5ee31659111446fa3d69e4960d6a9ee
Publikováno v:
Frontiers in Big Data, Vol 5 (2022)
As Big Data Analysis meets healthcare applications, domain-specific challenges and opportunities materialize in all aspects of data science. Advanced statistical methods and Artificial Intelligence (AI) on Electronic Health Records (EHRs) are used bo
Externí odkaz:
https://doaj.org/article/a15d51052d08458bbcd70abb8c047602
Autor:
Dino Gibertoni, Claudio Voci, Marica Iommi, Benedetta D’Ercole, Marcora Mandreoli, Antonio Santoro, Elena Mancini
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 20, Iss 1, Pp 1-7 (2020)
Abstract Background Administrative healthcare databases are widespread and are often standardized with regard to their content and data coding, thus they can be used also as data sources for surveillance and epidemiological research. Chronic dialysis
Externí odkaz:
https://doaj.org/article/1b67b72d0ab84e0bb57a0273d4a3de71
Publikováno v:
Frontiers in Big Data, Vol 4 (2021)
Externí odkaz:
https://doaj.org/article/78f7c55927d0441d9a5b343e12f55636
Autor:
Dino Gibertoni, Paola Rucci, Marcora Mandreoli, Mattia Corradini, Davide Martelli, Giorgia Russo, Elena Mancini, Antonio Santoro
Publikováno v:
BMC Nephrology, Vol 20, Iss 1, Pp 1-11 (2019)
Abstract Background A classification tree model (CT-PIRP) was developed in 2013 to predict the annual renal function decline of patients with chronic kidney disease (CKD) participating in the PIRP (Progetto Insufficienza Renale Progressiva) project,
Externí odkaz:
https://doaj.org/article/eae9ceec403b4ce7a7837581a323322d