mettlesome 发表于 2025-3-23 11:29:49
Discussion and Future DirectionsThe central building block to include adhesive interactions between cells in reaction-advection-diffusion models of tissues is to use a non-local term.Defiance 发表于 2025-3-23 17:17:48
Andreas Buttenschön,Thomas Hillenterfaced with the international nomenclature LOINC, and developed in collaboration with experts from all biological disciplines. Our goal is to establish a platform for publishing and maintaining the AP-HP laboratory data dictionary, which can satisfy both the requirements concerning the controlledcontradict 发表于 2025-3-23 20:14:49
http://reply.papertrans.cn/67/6670/666964/666964_13.png打包 发表于 2025-3-24 00:25:09
Natural Language Processing algorithms (NLP). Within the framework of the PSIP project, the French Multi- Terminology Indexer (FMTI) is used to extract drug-related information from records for the detection of Adverse Drug Events (ADEs) that can endanger the patients. FMTI is here needed in the abAbsenteeism 发表于 2025-3-24 03:21:47
http://reply.papertrans.cn/67/6670/666964/666964_15.png烧烤 发表于 2025-3-24 08:55:12
http://reply.papertrans.cn/67/6670/666964/666964_16.png比喻好 发表于 2025-3-24 14:24:19
http://reply.papertrans.cn/67/6670/666964/666964_17.pngCUR 发表于 2025-3-24 14:51:52
Andreas Buttenschön,Thomas Hillenshots. Based on a list of rules and a repository of stays, it allows for displaying the important rules, the related statistics, and the complete information about the suspicious cases. The knowledge is contextualized, i.e. it depends on the medical department. The tool is deployed in a French hospi厌烦 发表于 2025-3-24 21:54:30
gorithm and the other using the phonemization algorithm. Results: The FMTI tool performs better results using the phonemization algorithm: 97% for precision and 95% for recall. Conclusion: For the PSIP project, we showed that the semantic mining using FMTI can help to extract drug- related informati意外 发表于 2025-3-24 23:30:15
Andreas Buttenschön,Thomas Hillengorithm and the other using the phonemization algorithm. Results: The FMTI tool performs better results using the phonemization algorithm: 97% for precision and 95% for recall. Conclusion: For the PSIP project, we showed that the semantic mining using FMTI can help to extract drug- related informati