Zobrazeno 1 - 10
of 73 342
pro vyhledávání: '"Risk Classification"'
Autor:
Isaza, Veronica Henao, Aguillon, David, Quintero, Carlos Andres Tobon, Lopera, Francisco, Gomez, John Fredy Ochoa
Background: Dementia, marked by cognitive decline, is a global health challenge. Alzheimer's disease (AD), the leading type, accounts for ~70% of cases. Electroencephalography (EEG) measures show promise in identifying AD risk, but obtaining large sa
Externí odkaz:
http://arxiv.org/abs/2411.17717
To protect large-scale computing environments necessary to meet increasing computing demand, cloud providers have implemented security measures to monitor Operations and Maintenance (O&M) activities and therefore prevent data loss and service interru
Externí odkaz:
http://arxiv.org/abs/2412.01655
Autor:
Khare, Smith K., Booth, Berit Bargum, Blanes-Vidal, Victoria, Petersen, Lone Kjeld, Nadimi, Esmaeil S.
Cervical cancer remains a major worldwide health issue, with early identification and risk assessment playing critical roles in effective preventive interventions. This paper presents the Cervix-AID-Net model for cervical precancer risk classificatio
Externí odkaz:
http://arxiv.org/abs/2411.09469
Autor:
Rodrigues da Silva, Thales Philipe1,2 (AUTHOR), Moreira, Carolina Machado2 (AUTHOR), Souza, Janaina Fonseca Almeida2,3 (AUTHOR), Fernandes, Eder Gatti4 (AUTHOR), Gurmão, Josianne Dias3 (AUTHOR), de Melo Araújo, Ana Catarina5 (AUTHOR), Vimieiro, Aline Mendes3 (AUTHOR), Matozinhos, Fernanda Penido2 (AUTHOR) nandapendio@hotmail.com
Publikováno v:
PLoS ONE. 12/5/2024, Vol. 19 Issue 12, p1-11. 11p.
Autor:
Qi, Hongzhi, Liu, Hanfei, Li, Jianqiang, Zhao, Qing, Zhai, Wei, Luo, Dan, He, Tian Yu, Liu, Shuo, Yang, Bing Xiang, Fu, Guanghui
In the social media, users frequently express personal emotions, a subset of which may indicate potential suicidal tendencies. The implicit and varied forms of expression in internet language complicate accurate and rapid identification of suicidal i
Externí odkaz:
http://arxiv.org/abs/2404.12659
Publikováno v:
Progress in Modern Biomedicine. Nov2024, Vol. 24 Issue 22, p4278-4392. 4p.
Autor:
Tan, Xue Wen, Kok, Stanley
Every publicly traded company in the US is required to file an annual 10-K financial report, which contains a wealth of information about the company. In this paper, we propose an explainable deep-learning model, called FinBERT-XRC, that takes a 10-K
Externí odkaz:
http://arxiv.org/abs/2405.01881