Zobrazeno 1 - 10
of 173
pro vyhledávání: '"Aslam, Javed A"'
State-of-the-art Extreme Multi-Label Text Classification (XMTC) models rely heavily on multi-label attention layers to focus on key tokens in input text, but obtaining optimal attention weights is challenging and resource-intensive. To address this,
Externí odkaz:
http://arxiv.org/abs/2410.23066
Autor:
Ayesha Noreen, Muhammad Aslam Javed, Sadaf Amin, Zouina Sarfraz, Vishal farid Raza, Tariq Rashid
Publikováno v:
The International Journal of Frontier Sciences, Vol 5, Iss 2 (2024)
This study aimed to assess the cosmetic outcomes of shave excision for the treatment of acquired melanocytic nevi in a Pakistani tertiary care setting. In total, 120 patients were enrolled in this study. All patients underwent shave excision upon
Externí odkaz:
https://doaj.org/article/7af1ffa833e14d97a603284d3586da5e
Publikováno v:
In Journal of Innovation & Knowledge October-December 2024 9(4)
Publikováno v:
Business Process Management Journal, 2023, Vol. 29, Issue 6, pp. 1680-1705.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/BPMJ-03-2023-0165
ICD coding is the international standard for capturing and reporting health conditions and diagnosis for revenue cycle management in healthcare. Manually assigning ICD codes is prone to human error due to the large code vocabulary and the similaritie
Externí odkaz:
http://arxiv.org/abs/2103.07808
Clinical coding is the task of assigning a set of alphanumeric codes, referred to as ICD (International Classification of Diseases), to a medical event based on the context captured in a clinical narrative. The latest version of ICD, ICD-10, includes
Externí odkaz:
http://arxiv.org/abs/2102.09136
Autor:
Shahri, Morteza Pourreza, Tahmasebi, Amir, Ye, Bingyang, Zhu, Henghui, Aslam, Javed, Ferris, Timothy
Automatic structuring of electronic medical records is of high demand for clinical workflow solutions to facilitate extraction, storage, and querying of patient care information. However, developing a scalable solution is extremely challenging, speci
Externí odkaz:
http://arxiv.org/abs/2010.02256
Autor:
Qin, Kechen, Wang, Yu, Li, Cheng, Gunaratna, Kalpa, Jin, Hongxia, Pavlu, Virgil, Aslam, Javed A.
Multi-hop knowledge based question answering (KBQA) is a complex task for natural language understanding. Many KBQA approaches have been proposed in recent years, and most of them are trained based on labeled reasoning path. This hinders the system's
Externí odkaz:
http://arxiv.org/abs/2005.10970
We present an adaptation of RNN sequence models to the problem of multi-label classification for text, where the target is a set of labels, not a sequence. Previous such RNN models define probabilities for sequences but not for sets; attempts to obta
Externí odkaz:
http://arxiv.org/abs/1904.05829
This paper considers a multi-armed bandit game where the number of arms is much larger than the maximum budget and is effectively infinite. We characterize necessary and sufficient conditions on the total budget for an algorithm to return an {\epsilo
Externí odkaz:
http://arxiv.org/abs/1811.06149