Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Mina Bjelogrlic"'
Publikováno v:
Journal of Medical Internet Research, Vol 26, p e60501 (2024)
BackgroundPrompt engineering, focusing on crafting effective prompts to large language models (LLMs), has garnered attention for its capabilities at harnessing the potential of LLMs. This is even more crucial in the medical domain due to its speciali
Externí odkaz:
https://doaj.org/article/af5bfdfde2464d4db3f7e91a88e132ab
Publikováno v:
JMIR Medical Informatics, Vol 11, p e44639 (2023)
BackgroundInformation overflow, a common problem in the present clinical environment, can be mitigated by summarizing clinical data. Although there are several solutions for clinical summarization, there is a lack of a complete overview of the resear
Externí odkaz:
https://doaj.org/article/db002a6139094331a4cfa67a5ee35cff
Autor:
Hugues Turbé, Mina Bjelogrlic, Arnaud Robert, Christophe Gaudet-Blavignac, Jean-Philippe Goldman, Christian Lovis
Publikováno v:
Frontiers in Public Health, Vol 8 (2021)
With the rapid spread of the SARS-CoV-2 virus since the end of 2019, public health confinement measures to contain the propagation of the pandemic have been implemented. Our method to estimate the reproduction number using Bayesian inference with tim
Externí odkaz:
https://doaj.org/article/38ee84413808407c910895b6059b4464
Publikováno v:
Nature Machine Intelligence. 5:250-260
Post-hoc interpretability methods are critical tools to explain neural-network results. Several post-hoc methods have emerged in recent years but they produce different results when applied to a given task, raising the question of which method is the
Autor:
Jamil, Zaghir, Jean-Philippe, Goldman, Mina, Bjelogrlic, Christophe, Gaudet-Blavignac, Christian, Lovis
Publikováno v:
Studies in health technology and informatics. 295
Hospital caregivers report patient data while being under constant pressure. These records include structured information, with some of them being derived from a restricted list of terms. Finding the right term from a large terminology can be time-co
Autor:
Jamil, Zaghir, Jean-Philippe, Goldman, Mina, Bjelogrlic, Daniel, Keszthelyi, Christophe, Gaudet-Blavignac, Hugues, Turbé, Belinda, Lokaj, Christian, Lovis
Publikováno v:
Studies in health technology and informatics. 294
Many medical narratives are read by care professionals in their preferred language. These documents can be produced by organizations, authorities or national publishers. However, they are often hardly findable using the usual query engines based on E
Autor:
Jamil Zaghir, Jean-Philippe Goldman, Mina Bjelogrlic, Daniel Keszthelyi, Christophe Gaudet-Blavignac, Hugues Turbé, Belinda Lokaj, Christian Lovis
Many medical narratives are read by care professionals in their preferred language. These documents can be produced by organizations, authorities or national publishers. However, they are often hardly findable using the usual query engines based on E
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::773e8f33a8770ca5d4cfb70e357e7fd1
https://doi.org/10.3233/shti220613
https://doi.org/10.3233/shti220613
Autor:
Nicolas Inacio, Gaëlle Lissorgues, Adrien Ugon, Corinne Bagnis, Christian Lovis, Mina Bjelogrlic
This paper presents the design of an autonomous tracking device to enhance understanding of ambulatory peritoneal dialysis. The resulting tool aims to serve as a framework for research analysis and a decision support for treatment adjustments in peri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6d9ba1218fdc1f83d185c9831612bacb
https://doi.org/10.3233/shti220640
https://doi.org/10.3233/shti220640
Autor:
Hugues Turbé, Mina Bjelogrlic, Mehdi Namdar, Christophe Gaudet-Blavignac, Jamil Zaghir, Jean-Philippe Goldman, Belinda Lokaj, Christian Lovis
Automatic classification of ECG signals has been a longtime research area with large progress having been made recently. However these advances have been achieved with increasingly complex models at the expense of model’s interpretability. In this
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b58b87359e92debf47534051939fa427
https://doi.org/10.3233/shti220393
https://doi.org/10.3233/shti220393
Autor:
Hugues, Turbé, Mina, Bjelogrlic, Mehdi, Namdar, Christophe, Gaudet-Blavignac, Jamil, Zaghir, Jean-Philippe, Goldman, Belinda, Lokaj, Christian, Lovis
Publikováno v:
Studies in health technology and informatics. 294
Automatic classification of ECG signals has been a longtime research area with large progress having been made recently. However these advances have been achieved with increasingly complex models at the expense of model's interpretability. In this re