Zobrazeno 1 - 10
of 86
pro vyhledávání: '"Marco Scutari"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract The relationship between skin diseases and mental illnesses has been extensively studied using cross-sectional epidemiological data. Typically, such data can only measure association (rather than causation) and include only a subset of the d
Externí odkaz:
https://doaj.org/article/6c37f36cb0f54ae9b1edea9b559bf216
Autor:
Marco Scutari
Publikováno v:
Algorithms, Vol 17, Iss 1, p 24 (2024)
Bayesian networks (BNs) are a foundational model in machine learning and causal inference. Their graphical structure can handle high-dimensional problems, divide them into a sparse collection of smaller ones, underlies Judea Pearl’s causality, and
Externí odkaz:
https://doaj.org/article/3813ce250bde4253a3ef7a25c6f16045
Publikováno v:
PLoS ONE, Vol 16, Iss 10, p e0258515 (2021)
PurposeIndividualised physiotherapy is an effective treatment for low back pain. We sought to determine how this treatment works by using randomised controlled trial data to develop a Bayesian Network model.Methods300 randomised controlled trial part
Externí odkaz:
https://doaj.org/article/c792707f1cbc4ceb8ff7c4bda77bb944
Autor:
Harry Fisher, Marianne JR Gittoes, Lynne Evans, C Leah Bitchell, Richard J Mullen, Marco Scutari
Publikováno v:
Frontiers in Sports and Active Living, Vol 2 (2020)
This paper adopts a novel, interdisciplinary approach to explore the relationship between stress-related psychosocial factors, physiological markers and occurrence of injury in athletes using a repeated measures prospective design. At four data colle
Externí odkaz:
https://doaj.org/article/db3d3e5cb24543329d23eee0e3783a8f
Publikováno v:
Frontiers in Earth Science, Vol 8 (2020)
Linking tectonic setting to eruptive activity in volcanic arcs provides a framework to understand processes that control the production, accumulation and eruption of magma on Earth. We use the Holocene eruptive records of 162 volcanoes, which are sel
Externí odkaz:
https://doaj.org/article/3201bb157abf4234a646be32fc467260
Autor:
Marco Scutari
Publikováno v:
Journal of Statistical Software, Vol 77, Iss 1, Pp 1-20 (2017)
It is well known in the literature that the problem of learning the structure of Bayesian networks is very hard to tackle: Its computational complexity is super-exponential in the number of nodes in the worst case and polynomial in most real-world sc
Externí odkaz:
https://doaj.org/article/d9cadf69eb4444f2a29048f8edb92ca0
Publikováno v:
Algorithms, Vol 13, Iss 12, p 329 (2020)
Incomplete data are a common feature in many domains, from clinical trials to industrial applications. Bayesian networks (BNs) are often used in these domains because of their graphical and causal interpretations. BN parameter learning from incomplet
Externí odkaz:
https://doaj.org/article/5eda27895a42401eae6209ed68672656
Autor:
Yi-Sheng Chao, Marco Scutari, Tai-Shen Chen, Chao-Jung Wu, Madeleine Durand, Antoine Boivin, Hsing-Chien Wu, Wei-Chih Chen
Publikováno v:
PLoS ONE, Vol 13, Iss 8, p e0201355 (2018)
BACKGROUND:Patient engagement helps to improve health outcomes and health care quality. However, the overall relationships among patient engagement measures and health outcomes remain unclear. This study aims to integrate expert knowledge and survey
Externí odkaz:
https://doaj.org/article/395aecc1982e43038198e9c725d8df76
Publikováno v:
PLoS Genetics, Vol 12, Iss 9, p e1006288 (2016)
The prediction of phenotypic traits using high-density genomic data has many applications such as the selection of plants and animals of commercial interest; and it is expected to play an increasing role in medical diagnostics. Statistical models use
Externí odkaz:
https://doaj.org/article/4ba493c4c07c44408206308a77a1d5fc
Autor:
Radhakrishnan Nagarajan, Marco Scutari
Publikováno v:
PLoS ONE, Vol 8, Iss 12, p e80735 (2013)
Molecular entities work in concert as a system and mediate phenotypic outcomes and disease states. There has been recent interest in modelling the associations between molecular entities from their observed expression profiles as networks using a bat
Externí odkaz:
https://doaj.org/article/b6c5fea97ef74f38a3de3bcfb3937302