Zobrazeno 1 - 10
of 20
pro vyhledávání: '"CV, Cross Validation"'
Publikováno v:
Psychosomatic Medicine, 85(5), 417-430. Lippincott Williams and Wilkins
Objective: Diverse risk factors influence the development and prognosis of coronary heart disease (CHD) independently and mutually. Low socioeconomic status (SES) seems to exacerbate these risk factors' influences. In addition, sex differences have b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ee7c20b315627690f73e52527d9aa8fa
https://doi.org/10.1097/PSY.0000000000001196
https://doi.org/10.1097/PSY.0000000000001196
Autor:
Victor Maojo, Nereida Rodriguez-Fernandez, Adrian Carballal, Carlos Fernandez-Lozano, Francisco J. Novoa, Alejandro Pazos, Paula Carracedo-Reboredo, Francisco Cedrón, Jose Liñares-Blanco
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 19, Iss, Pp 4538-4558 (2021)
RUC. Repositorio da Universidade da Coruña
instname
Computational and Structural Biotechnology Journal
RUC. Repositorio da Universidade da Coruña
instname
Computational and Structural Biotechnology Journal
Graphical abstract
Highlights • Machine Learning in drug discovery has greatly benefited the pharmaceutical industry. • Application of machine algorithms must entail a robust design in real clinical tasks. • Trending machine learning algor
Highlights • Machine Learning in drug discovery has greatly benefited the pharmaceutical industry. • Application of machine algorithms must entail a robust design in real clinical tasks. • Trending machine learning algor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c1455b1a18d7c6c8d727e34d6b7d78f8
http://www.sciencedirect.com/science/article/pii/S2001037021003421
http://www.sciencedirect.com/science/article/pii/S2001037021003421
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 18, Iss, Pp 668-675 (2020)
Computational and Structural Biotechnology Journal
Computational and Structural Biotechnology Journal
Graphical abstract
Microsatellite instability (MSI) is a genomic property of the cancers with defective DNA mismatch repair and is a useful marker for cancer diagnosis and treatment in diverse cancer types. In particular, MSI has been associated
Microsatellite instability (MSI) is a genomic property of the cancers with defective DNA mismatch repair and is a useful marker for cancer diagnosis and treatment in diverse cancer types. In particular, MSI has been associated
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::27d229ddb4b7a09ec97a229688847ada
http://www.sciencedirect.com/science/article/pii/S2001037019305446
http://www.sciencedirect.com/science/article/pii/S2001037019305446
Autor:
Karsten Vestergård, Jesper F. Havelund, Nils J. Færgeman, Shona Pedersen, Charlotte Held Gotfredsen, Raluca Maltesen, Søren Risom Kristensen, Jonas Ellegaard Nielsen
Publikováno v:
Metabolism Open, Vol 12, Iss, Pp 100125-(2021)
Nielsen, J E, Maltesen, R G, Havelund, J F, Færgeman, N J, Gotfredsen, C H, Vestergård, K, Kristensen, S R & Pedersen, S 2021, ' Characterising Alzheimer's disease through integrative NMR-and LC-MS-based metabolomics ', Metabolism Open, vol. 12, 100125 . https://doi.org/10.1016/j.metop.2021.100125
Nielsen, J E, Maltesen, R G, Havelund, J F, Færgeman, N J, Gotfredsen, C H, Vestergård, K, Kristensen, S R & Pedersen, S 2021, ' Characterising Alzheimer's disease through integrative NMR-and LC-MS-based metabolomics ', Metabolism open, vol. 12, 100125 . https://doi.org/10.1016/j.metop.2021.100125
Metabolism Open
Nielsen, J E, Maltesen, R G, Havelund, J F, Færgeman, N J, Gotfredsen, C H, Vestergård, K, Kristensen, S R & Pedersen, S 2021, ' Characterising Alzheimer's disease through integrative NMR-and LC-MS-based metabolomics ', Metabolism Open, vol. 12, 100125 . https://doi.org/10.1016/j.metop.2021.100125
Nielsen, J E, Maltesen, R G, Havelund, J F, Færgeman, N J, Gotfredsen, C H, Vestergård, K, Kristensen, S R & Pedersen, S 2021, ' Characterising Alzheimer's disease through integrative NMR-and LC-MS-based metabolomics ', Metabolism open, vol. 12, 100125 . https://doi.org/10.1016/j.metop.2021.100125
Metabolism Open
Background: Alzheimer's Disease (AD) is a complex and multifactorial disease and novel approaches are needed to illuminate the underlying pathology. Metabolites comprise the end-product of genes, transcripts, and protein regulations and might reflect
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::36710fd7cf80b8c201090924500ca109
http://www.sciencedirect.com/science/article/pii/S2589936821000499
http://www.sciencedirect.com/science/article/pii/S2589936821000499
Publikováno v:
International Immunopharmacology
Although previous studies have shown that the host immune response is crucial in determining clinical outcomes in COVID-19 patients, the association between host immune signatures and COVID-19 patient outcomes remains unclear. Based on the enrichment
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c29c9c53129bdd3806308151018449d8
https://pubmed.ncbi.nlm.nih.gov/33836368
https://pubmed.ncbi.nlm.nih.gov/33836368
Autor:
Tingfan Wu, Qiao-feng Chen, Shi-Ting Feng, Qian Zhou, Zhihang Chen, Xin Li, Jingxian Shen, Shuling Chen, Sui Peng, Ming Kuang
Publikováno v:
Translational Oncology, Vol 14, Iss 1, Pp 100866-(2021)
Translational Oncology
Translational Oncology
Objectives To develop a radiomics algorithm, improving the performance of detecting recurrence, based on posttreatment CT images within one month and at suspicious time during follow-up. Materials and methods A total of 114 patients with 228 images w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cb9e293a812221a3cf091e8dd1504813
http://www.sciencedirect.com/science/article/pii/S1936523320303582
http://www.sciencedirect.com/science/article/pii/S1936523320303582
Publikováno v:
Ultrasonics Sonochemistry, Vol 82, Iss, Pp 105867-(2022)
Ultrasonics Sonochemistry
Ultrasonics Sonochemistry
Graphical abstract
Highlights • First in silico QSPR model for k of degradation of phenol derivates using sonolysis. • Experimental data was obtained in a standardized experimental setup. • Extensive internal and external validation to eva
Highlights • First in silico QSPR model for k of degradation of phenol derivates using sonolysis. • Experimental data was obtained in a standardized experimental setup. • Extensive internal and external validation to eva
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::76fd329c80b398e964fc70fcd971d643
https://doi.org/10.1016/j.ultsonch.2021.105867
https://doi.org/10.1016/j.ultsonch.2021.105867
Autor:
Stefano Diciotti, Chiara Marzi, Emilia Salvadori, Leonardo Pantoni, Antonio Giorgio, Domenico Inzitari, Mario Mascalchi, Anna Poggesi, Nicola De Stefano
Publikováno v:
NeuroImage : Clinical
NeuroImage: Clinical, Vol 24, Iss, Pp-(2019)
NeuroImage: Clinical, Vol 24, Iss, Pp-(2019)
Patients with cerebral small vessel disease (SVD) frequently show decline in cognitive performance. However, neuroimaging in SVD patients discloses a wide range of brain lesions and alterations so that it is often difficult to understand which of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::42422ec0eab0c00514d6d86b55b43b2a
http://hdl.handle.net/11365/1123071
http://hdl.handle.net/11365/1123071
Autor:
Ethan Struhs, John H. Kalivas, Samuel Hansen, Amin Mirkouei, Kavita Sharma, Maria Magdalena Ramirez-Corredores, Robert C. Spiers
Publikováno v:
Ultrasonics Sonochemistry
Ultrasonics Sonochemistry, Vol 73, Iss, Pp 105502-(2021)
Ultrasonics Sonochemistry, Vol 73, Iss, Pp 105502-(2021)
Highlights • A sono-catalytic transfer hydrogenation approach is proposed for bio-oil upgrading. • Catalytic transfer hydrogenation uses ammonium formate and palladium on carbon. • The proposed approach can improve the hydrogen content of bio-o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0fba6241fa2650a948ab091f8ae341fd
https://doi.org/10.1016/j.ultsonch.2021.105502
https://doi.org/10.1016/j.ultsonch.2021.105502
Publikováno v:
IEEE BigData
This paper presents a novel approach that evaluates the right model for post engagement and predictions on Facebook. Moreover, paper provides insight into relevant indicators that lead to higher engagement with health care posts on Facebook. Both sup
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::81882e67e4f53ef41fa23a9b063146c9
https://doi.org/10.1109/bigdata.2017.8258243
https://doi.org/10.1109/bigdata.2017.8258243