Zobrazeno 1 - 10
of 43
pro vyhledávání: '"LIJUE LIU"'
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 22, Iss 1, Pp 1-16 (2022)
Abstract Background Imbalance between positive and negative outcomes, a so-called class imbalance, is a problem generally found in medical data. Despite various studies, class imbalance has always been a difficult issue. The main objective of this st
Externí odkaz:
https://doaj.org/article/cd358d41ec994486b10554f532a5f75c
Publikováno v:
Frontiers in Cardiovascular Medicine, Vol 8 (2021)
Aortic dissection (AD), a dangerous disease threatening to human beings, has a hidden onset and rapid progression and has few effective methods in its early diagnosis. At present, although CT angiography acts as the gold standard on AD diagnosis, it
Externí odkaz:
https://doaj.org/article/1a0814424db14ee39c393eb0ef5caeff
Publikováno v:
Tongxin xuebao, Vol 40, Pp 102-110 (2019)
The problem of multi-point path planning is a NP-hard problem,which is equivalent to finding the shortest path of a starting point and some specific node.Aiming at the problem of multi-point path planning,a retrospective ant colony-particle swarm opt
Externí odkaz:
https://doaj.org/article/e8b3f7b9b6c94df69616f09e920a6e18
Autor:
Jinhai Deng, Weixiong Peng, Qinyang Lu, Zheng Wang, Qiang Fu, Xingang Zhou, Yufeng Cai, Yang Mu, Teng Pan, Zaoqu Liu, Zixing Cai, Mingzhu Yin, Lijue Liu, Yueyun Lai
With the advent of the utilization of machine learning techniques in the diagnosis of hematological diseases, endless potential can be foreseen, including digital images analysis. The application of machine-learning tool in cytogenetics contributes t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ab792ece1f3b5d961a0526c1f82a7c6c
https://doi.org/10.21203/rs.3.rs-2913988/v1
https://doi.org/10.21203/rs.3.rs-2913988/v1
Publikováno v:
Journal of Mechanics in Medicine and Biology. 22
Human activity recognition (HAR) has a wide application in daily life. With wearable sensors, people’s activity can be monitored, recorded and analysed. However, most existing methods did not make full use of human activity data and their features.
Publikováno v:
International Journal of Environmental Research and Public Health; Volume 19; Issue 9; Pages: 5657
Aortic dissection (AD) is a rare and high-risk cardiovascular disease with high mortality. Due to its complex and changeable clinical manifestations, it is easily missed or misdiagnosed. In this paper, we proposed an ensemble learning model based on
Publikováno v:
Journal of Thoracic Disease. 12:605-614
Background: The main purpose of the study was to develop an early screening method for aortic dissection (AD) based on machine learning. Due to the rarity of AD and the complexity of symptoms, many doctors have no clinical experience with it. Many pa
Publikováno v:
Neurocomputing. 378:9-23
In this paper, we propose a deep convolutional network for single image dehazing based on derived image fusion strategy. Instead of estimating the transmission map and atmospheric light as previously performed, we directly generate a haze-free image
Publikováno v:
BMC medical informatics and decision making. 22(1)
Background Imbalance between positive and negative outcomes, a so-called class imbalance, is a problem generally found in medical data. Despite various studies, class imbalance has always been a difficult issue. The main objective of this study was t
Background: Aortic dissection (AD) is a rare and high-risk cardiovascular disease with dangerous morbidity and high mortality, so it needs rapid diagnosis and timely treatment. However, due to its complex and changeable clinical manifestations and th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::869bcbb0064535472dc597a7e24b66f5
https://doi.org/10.21203/rs.3.rs-653868/v1
https://doi.org/10.21203/rs.3.rs-653868/v1