Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Andrea Seveso"'
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 20, Iss S5, Pp 1-14 (2020)
Abstract Background Despite the vagueness and uncertainty that is intrinsic in any medical act, interpretation and decision (including acts of data reporting and representation of relevant medical conditions), still little research has focused on how
Externí odkaz:
https://doaj.org/article/abedf1f7072542f7ab6fab4ee9d13f13
Publikováno v:
Journal of Personalized Medicine, Vol 12, Iss 11, p 1811 (2022)
One of the next frontiers in medical research, particularly in orthopaedic surgery, is personalized treatment outcome prediction. In personalized medicine, treatment choices are adjusted for the patient based on the individual’s and their disease
Externí odkaz:
https://doaj.org/article/3e48e7693ccb4b3fb892aa809ea225b7
Publikováno v:
Frontiers in Medicine, Vol 6 (2019)
Problem: Clinical practice requires the production of a time- and resource-consuming great amount of notes. They contain relevant information, but their secondary use is almost impossible, due to their unstructured nature. Researchers are trying to a
Externí odkaz:
https://doaj.org/article/1eb138705d364a599ae3e349cbd321e3
Publikováno v:
FEBS Letters.
Publikováno v:
Acta Crystallographica. Section D, Structural Biology
The crystal structure of the lytic polysaccharide monooxygenase McAA9F, which is broadly active on both crystalline and soluble glycans and includes an unusual succinimide motif, is reported.
The thermophilic fungus Malbranchea cinnamomea contai
The thermophilic fungus Malbranchea cinnamomea contai
Autor:
Anna Carobene, Eleonora Sabetta, Giuseppe Banfi, Massimo Locatelli, Andrea Seveso, Federico Cabitza, Daniele Ceriotti, Davide Ferrari
Publikováno v:
Diagnosis. 7:387-394
Objectives The pandemic COVID-19 currently reached 213 countries worldwide with nearly 9 million infected people and more than 460,000 deaths. Although several Chinese studies, describing the laboratory findings characteristics of this illness have b
The recent growth of black-box machine-learning methods in data analysis has increased the demand for explanation methods and tools to understand their behaviour and assist human-ML model cooperation. In this paper, we demonstrate ContrXT, a novel ap
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b3007d0245896f6f3c1b63edbfcccd5d
https://hdl.handle.net/10281/396956
https://hdl.handle.net/10281/396956
In the last few years, we have been witnessing the increasing deployment of machine learning-based systems, which act as black boxes whose behaviour is hidden to end-users. As a side-effect, this contributes to increasing the need for explainable met
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0e7b1583819711ec2947ba2ba466415e
http://hdl.handle.net/10281/388786
http://hdl.handle.net/10281/388786
The need for explanations of ML systems is growing as new models outperform their predecessors while becoming more complex and less comprehensible for their end-users. Though several XAI methods have been proposed in recent years, not enough attentio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7a8da5225e7d5b4801b26feb478b4374
http://hdl.handle.net/10281/339363
http://hdl.handle.net/10281/339363