|
|
|
|
|
Zhenwen He, Xianzhen Liu and Chunfeng Zhang
Three-dimensional voxel models are widely applied in various fields such as 3D imaging, industrial design, and medical imaging. The advancement of 3D modeling techniques and measurement devices has made the generation of three-dimensional models more con...
ver más
|
|
|
|
|
|
|
|
|
|
|
Qiuyue Li, Hao Sheng, Mingxue Sheng and Honglin Wan
Efficient document recognition and sharing remain challenges in the healthcare, insurance, and finance sectors. One solution to this problem has been the use of deep learning techniques to automatically extract structured information from paper documents...
ver más
|
|
|
|
|
|
|
|
|
|
|
Naofumi Fujishiro, Yasuhiro Otaki and Shoji Kawachi
In this study, we developed a similar text retrieval system using Sentence-BERT (SBERT) for our database of closed medical malpractice claims and investigated its retrieval accuracy. We assigned each case in the database a short Japanese summary of the a...
ver más
|
|
|
|
|
|
|
|
|
|
|
Wiem Chebil, Mohammad Wedyan, Moutaz Alazab, Ryan Alturki and Omar Elshaweesh
This research proposes a new approach to improve information retrieval systems based on a multinomial naive Bayes classifier (MNBC), Bayesian networks (BNs), and a multi-terminology which includes MeSH thesaurus (Medical Subject Headings) and SNOMED CT (...
ver más
|
|
|
|
|
|
|
|
|
|
|
Gurtaj Singh, Vincenzo Violi and Marco Fisichella
Healthcare data are distributed and confidential, making it difficult to use centralized automatic diagnostic techniques. For example, different hospitals hold the electronic health records (EHRs) of different patient populations; however, transferring t...
ver más
|
|
|
|
|
|
|
|
|
|
|
Mamatjan Abdurxit, Turdi Tohti and Askar Hamdulla
Biomedical entity linking is an important research problem for many downstream tasks, such as biomedical intelligent question answering, information retrieval, and information extraction. Biomedical entity linking is the task of mapping mentions in medic...
ver más
|
|
|
|
|
|
|
|
|
|
|
Stefano Marchesin, Giorgio Maria Di Nunzio and Maristella Agosti
In Information Retrieval (IR), the semantic gap represents the mismatch between users? queries and how retrieval models answer to these queries. In this paper, we explore how to use external knowledge resources to enhance bag-of-words representations and...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ilaria Bartolini and Andrea Di Luzio
Narcolepsy with cataplexy is a severe lifelong disorder characterized, among others, by sudden loss of bilateral face muscle tone triggered by emotions (cataplexy). A recent approach for the diagnosis of the disease is based on a completely manual analys...
ver más
|
|
|
|
|
|
|
|
|
|
|
Teofan Clipa and Giorgio Maria Di Nunzio
In this work, we compare and analyze a variety of approaches in the task of medical publication retrieval and, in particular, for the Technology Assisted Review (TAR) task. This problem consists in the process of collecting articles that summarize all ev...
ver más
|
|
|
|
|
|
|
|
|
|
|
Fernando López-Martínez, Edward Rolando Núñez-Valdez, Vicente García-Díaz and Zoran Bursac
Big data and artificial intelligence are currently two of the most important and trending pieces for innovation and predictive analytics in healthcare, leading the digital healthcare transformation. Keralty organization is already working on developing a...
ver más
|
|
|
|
|
|