Zobrazeno 1 - 10
of 29 366
pro vyhledávání: '"R Martin"'
Autor:
E Custodio, Z Herrador, E Trigo, M Romay-Barja, F Ramirez, I Aguado, E Iraizoz, A Silva-Gerardo, ML Faria, R Martin-Cañavate, T Marques, A Vargas, A Gómez, I Molina
Publikováno v:
BMC Public Health, Vol 24, Iss 1, Pp 1-12 (2024)
Abstract Background Chronic malnutrition is a condition associated with negative impacts on physical and cognitive development. It is multi-causal and can start very early in life, already in utero, thus it is especially challenging to find appropria
Externí odkaz:
https://doaj.org/article/20298ad1d1684fccb98d63d055cb1748
Autor:
R Martin, S Sheikh, G Gilkeson, R Ramsey-Goldman, M Ishimori, K Kalunian, U Shah, E Goldmuntz, M MacKay, D Kamen, B Welch, C Arriens, SS Lim, A Khosroshahi, P Nietert, L Sirline
Publikováno v:
Lupus Science and Medicine, Vol 9, Iss Suppl 3 (2022)
Externí odkaz:
https://doaj.org/article/88f963f7b4254b15a7cb173de1a034a9
Autor:
R Martin-Payo, J Cachero-Rodriguez, E Alvarez-Gomez, MR Fu, A Llaneza-Folgueras, MdM Fernandez-Alvarez
Publikováno v:
Data in Brief, Vol 45, Iss , Pp 108699- (2022)
Breast cancer is one of the most diagnosed cancer in women worldwide and lymphedema is one of the most common late and chronic adverse effects of breast cancer treatment. Lymphedema symptoms are essential signs of early-stage of lymphedema as they of
Externí odkaz:
https://doaj.org/article/a1f7a23b201645959bd783f08f057d3c
Autor:
James A Budnick, Lauren M Sheehan, Angela H Benton, Joshua E Pitzer, Lin Kang, Pawel Michalak, R Martin Roop, Clayton C Caswell
Publikováno v:
PLoS ONE, Vol 15, Iss 8, p e0237371 (2020)
The neurotransmitter gamma-aminobutyric acid (GABA) is the most abundant inhibitory neurotransmitter in the human brain; however, it is becoming more evident that this non-proteinogenic amino acid plays multiple physiological roles in biology. In the
Externí odkaz:
https://doaj.org/article/97bb7382aa27418b8160c18821ea45e1
As a technique that can compactly represent complex patterns, machine learning has significant potential for predictive inference. K-fold cross-validation (CV) is the most common approach to ascertaining the likelihood that a machine learning outcome
Externí odkaz:
http://arxiv.org/abs/2401.16407
