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pro vyhledávání: '"Garcia A DE"'
Physical rehabilitation plays a crucial role in restoring functional abilities, but traditional approaches often face challenges in terms of cost, accessibility, and personalized monitoring. Asynchronous physical rehabilitation has gained traction as
Externí odkaz:
http://arxiv.org/abs/2411.12542
Autor:
Luz, Saturnino, Garcia, Sofia De La Fuente, Haider, Fasih, Fromm, Davida, MacWhinney, Brian, Lanzi, Alyssa, Chang, Ya-Ning, Chou, Chia-Ju, Liu, Yi-Chien
We present a novel benchmark dataset and prediction tasks for investigating approaches to assess cognitive function through analysis of connected speech. The dataset consists of speech samples and clinical information for speakers of Mandarin Chinese
Externí odkaz:
http://arxiv.org/abs/2406.10272
Speech-based depression detection tools could help early screening of depression. Here, we address two issues that may hinder the clinical practicality of such tools: segment-level labelling noise and a lack of model interpretability. We propose a sp
Externí odkaz:
http://arxiv.org/abs/2406.03138
Depression is a common mental disorder. Automatic depression detection tools using speech, enabled by machine learning, help early screening of depression. This paper addresses two limitations that may hinder the clinical implementations of such tool
Externí odkaz:
http://arxiv.org/abs/2309.13476
Autor:
Jay L. Koyner, Christian Arndt, Jaume Baldira Martinez de Irujo, Sílvia Coelho, Manuel Garcia-Montesinos de la Peña, Luca di Girolamo, Michael Joannidis, Pablo Jorge-Monjas, Christian Koch, Steven Lobaz, Alain Meyer, Marlies Ostermann, Nicoletta Pertica, John R. Prowle, Jon Silversides, Alexander Zarbock, Jorge Echeverri, Kai Harenski, Lui G. Forni
Publikováno v:
Renal Failure, Vol 46, Iss 1 (2024)
Background Urinary Chemokine (C–C motif) ligand 14 (CCL14) is a biomarker associated with persistent severe acute kidney injury (AKI). There is limited data to support the implementation of this AKI biomarker to guide therapeutic actions.Methods Si
Externí odkaz:
https://doaj.org/article/753d3b3df1444924a5f6e8fcdb5753a2
Autor:
Meza, Edwin Benito Mitacc1 (AUTHOR) emitacc@id.uff.br, Souza, Dalton Garcia Borges de1 (AUTHOR) daltonborges@id.uff.br, Copetti, Alessandro1 (AUTHOR), Sobral, Ana Paula Barbosa1 (AUTHOR), Silva, Guido Vaz1 (AUTHOR), Tammela, Iara1 (AUTHOR), Cardoso, Rodolfo1 (AUTHOR)
Publikováno v:
Sensors (14248220). Oct2024, Vol. 24 Issue 19, p6457. 25p.
Publikováno v:
In Medicina intensiva December 2024 48(12):e23-e29
Autor:
Villanueva, Purificación Bautiste ⁎, Barrio, María Isabel Prieto, Escamilla, Alfonso Cobo, García, María de las Nieves González, Bouzón, Analía Vázquez
Publikováno v:
In Case Studies in Construction Materials December 2024 21
Publikováno v:
In Body Image December 2024 51
Autor:
Rodriguez Torres, Claudia S., Wicker, Nicole B., Puccini de Castro, Victória, Stefinko, Mariya, Bennett, Daniel C., Bernhardt, Brooke, Garcia Montes de Oca, Melissa, Jallow, Sainabou, Flitcroft, Katelyn, Palalay, Jessica-Jae S., Payán Parra, Omar A., Stern, Yaakov E., Koelle, Michael R., Voisine, Cindy, Woods, Ian G., Lo, Te-Wen, Stern, Michael J., de la Cova, Claire C.
Publikováno v:
In Developmental Biology December 2024 516:183-195