Results 131 to 140 of about 803,882 (321)

Development and Application of a Knowledge Retrieval and Analysis System for the Power Industry Based on Knowledge Graph and Large Language Model

Zhongguo dianli
With the rapid development of artificial intelligence technology, knowledge retrieval systems in the power industry are facing technological updates and iterations. A knowledge retrieval and analysis system for the power industry based on knowledge graph
Jinying ZHANG, Zhefeng WANG, Hua XIE, Changying YAO, Yanli MIN, XINYing WANG   +5 more
doaj   +1 more source

Automatic knowledge extraction from Chinese electronic medical records and rheumatoid arthritis knowledge graph construction. [PDF]

Quant Imaging Med Surg, 2023
Liu F, Liu M, Li M, Xin Y, Gao D, Wu J, Zhu J.   +6 more
europepmc   +1 more source

Knowledge Graph Extension by Entity Type Recognition [PDF]

arXiv
Knowledge graphs have emerged as a sophisticated advancement and refinement of semantic networks, and their deployment is one of the critical methodologies in contemporary artificial intelligence. The construction of knowledge graphs is a multifaceted process involving various techniques, where researchers aim to extract the knowledge from existing ...
arxiv  

Knowledge-based extraction of named entities [PDF]

, 2002
Jamie Callan, Teruko Mitamura
openalex   +1 more source

Highly multiplexed digital PCR assay for simultaneous quantification of variant allele frequencies and copy number alterations of KRAS and GNAS in pancreatic cancer precursors

Molecular Oncology, EarlyView.
Combining melting curve analysis enhances the multiplexing capability of digital PCR. Here, we developed a 14‐plex assay to simultaneously measure single nucleotide mutations and amplifications of KRAS and GNAS, which are common driver genes in pancreatic cancer precursors. This assay accurately quantified variant allele frequencies in clinical samples
Junko Tanaka, Tatsuo Nakagawa, Yusuke Ono, Yoshio Kamura, Takeshi Ishida, Hidemasa Kawabata, Kenji Takahashi, Hiroki Sato, Andrew S. Liss, Yusuke Mizukami, Takahide Yokoi   +10 more
wiley   +1 more source

Empowering digital pathology applications through explainable knowledge extraction tools. [PDF]

J Pathol Inform, 2022
Marchesin S, Giachelle F, Marini N, Atzori M, Boytcheva S, Buttafuoco G, Ciompi F, Di Nunzio GM, Fraggetta F, Irrera O, Müller H, Primov T, Vatrano S, Silvello G.   +13 more
europepmc   +1 more source

A large‐scale retrospective study in metastatic breast cancer patients using circulating tumour DNA and machine learning to predict treatment outcome and progression‐free survival

Molecular Oncology, EarlyView.
There is an unmet need in metastatic breast cancer patients to monitor therapy response in real time. In this study, we show how a noninvasive and affordable strategy based on sequencing of plasma samples with longitudinal tracking of tumour fraction paired with a statistical model provides valuable information on treatment response in advance of the ...
Emma J. Beddowes, Mario Ortega Duran, Solon Karapanagiotis, Alistair Martin, Meiling Gao, Riccardo Masina, Ramona Woitek, James Tanner, Fleur Tippin, Justine Kane, Jonathan Lay, Anja Brouwer, Stephen‐John Sammut, Suet‐Feung Chin, Davina Gale, Dana W. Y. Tsui, Sarah‐Jane Dawson, Nitzan Rosenfeld, Maurizio Callari, Oscar M. Rueda, Carlos Caldas   +20 more
wiley   +1 more source

Multiple sclerosis clinical decision support system based on projection to reference datasets

Annals of Clinical and Translational Neurology, Volume 9, Issue 12, Page 1863-1873, December 2022., 2022
Abstract Objective Multiple sclerosis (MS) is a multifactorial disease with increasingly complicated management. Our objective is to use on‐demand computational power to address the challenges of dynamically managing MS. Methods A phase 3 clinical trial data (NCT00906399) were used to contextualize the medication efficacy of peg‐interferon beta‐1a vs ...
Chadia Ed‐driouch, Florent Chéneau, Françoise Simon, Guillaume Pasquier, Benoit Combès, Anne Kerbrat, Emmanuelle Le Page, Sophie Limou, Nicolas Vince, David‐Axel Laplaud, Franck Mars, Cédric Dumas, Gilles Edan, Pierre‐Antoine Gourraud   +13 more
wiley   +1 more source

Analysis of Preference Maps Using Data Mining Methods : Analiza preferenčnih kart z metodami odkrivanja znanja iz podatkov [PDF]

Geodetski Vestnik, 2009
Preference maps allow people to express their opinions about future spatial development in a simple way; they mark the areas that they consider suitable for specific activities on a cartographic base map.
Lidija Breskvar Žavcar, Blaž Zupam, Mojca Golobič   +2 more
doaj  

Unsupervised real-world knowledge extraction via disentangled variational autoencoders for photon diagnostics. [PDF]

Sci Rep, 2022
Hartmann G, Goetzke G, Düsterer S, Feuer-Forson P, Lever F, Meier D, Möller F, Vera Ramirez L, Guehr M, Tiedtke K, Viefhaus J, Braune M.   +11 more
europepmc   +1 more source