Result Number | Material Type | Add to My Shelf Action | Record Details and Options |
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1 |
Material Type: Artigo
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Deep learning: new computational modelling techniques for genomicsEraslan, Gökcen ; Avsec, Žiga ; Gagneur, Julien ; Theis, Fabian JNature reviews. Genetics, 2019-07, Vol.20 (7), p.389-403 [Periódico revisado por pares]England: Nature Publishing GroupTexto completo disponível |
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2 |
Material Type: Artigo
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Prefrontal cortex as a meta-reinforcement learning systemWang, Jane X ; Kurth-Nelson, Zeb ; Kumaran, Dharshan ; Tirumala, Dhruva ; Soyer, Hubert ; Leibo, Joel Z ; Hassabis, Demis ; Botvinick, MatthewNature neuroscience, 2018-06, Vol.21 (6), p.860-868 [Periódico revisado por pares]United States: Nature Publishing GroupTexto completo disponível |
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3 |
Material Type: Artigo
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Do no harm: a roadmap for responsible machine learning for health careWiens, Jenna ; Saria, Suchi ; Sendak, Mark ; Ghassemi, Marzyeh ; Liu, Vincent X ; Doshi-Velez, Finale ; Jung, Kenneth ; Heller, Katherine ; Kale, David ; Saeed, Mohammed ; Ossorio, Pilar N ; Thadaney-Israni, Sonoo ; Goldenberg, AnnaNature medicine, 2019-09, Vol.25 (9), p.1337-1340 [Periódico revisado por pares]United States: Nature Publishing GroupTexto completo disponível |
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4 |
Material Type: Artigo
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Comparing different supervised machine learning algorithms for disease predictionUddin, Shahadat ; Khan, Arif ; Hossain, Md Ekramul ; Moni, Mohammad AliBMC medical informatics and decision making, 2019-12, Vol.19 (1), p.281-281, Article 281 [Periódico revisado por pares]England: BioMed Central LtdTexto completo disponível |
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Material Type: Artigo
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The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluationChicco, Davide ; Jurman, GiuseppeBMC genomics, 2020-01, Vol.21 (1), p.6-6, Article 6 [Periódico revisado por pares]England: BioMed Central LtdTexto completo disponível |
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Material Type: Artigo
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Use of machine learning to analyse routinely collected intensive care unit data: a systematic reviewShillan, Duncan ; Sterne, Jonathan A C ; Champneys, Alan ; Gibbison, BenCritical care (London, England), 2019-08, Vol.23 (1), p.284-284, Article 284 [Periódico revisado por pares]England: BioMed Central LtdTexto completo disponível |
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Material Type: Artigo
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A primer on deep learning in genomicsZou, James ; Huss, Mikael ; Abid, Abubakar ; Mohammadi, Pejman ; Torkamani, Ali ; Telenti, AmalioNature genetics, 2019-01, Vol.51 (1), p.12-18 [Periódico revisado por pares]United States: Nature Publishing GroupTexto completo disponível |
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8 |
Material Type: Artigo
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Machine learning in cardiovascular magnetic resonance: basic concepts and applicationsLeiner, Tim ; Rueckert, Daniel ; Suinesiaputra, Avan ; Baeßler, Bettina ; Nezafat, Reza ; Išgum, Ivana ; Young, Alistair AJournal of cardiovascular magnetic resonance, 2019-10, Vol.21 (1), p.61-61, Article 61 [Periódico revisado por pares]England: BioMed Central LtdTexto completo disponível |
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9 |
Material Type: Artigo
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Calibration: the Achilles heel of predictive analyticsVan Calster, Ben ; McLernon, David J ; van Smeden, Maarten ; Wynants, Laure ; Steyerberg, Ewout WBMC medicine, 2019-12, Vol.17 (1), p.230-230, Article 230 [Periódico revisado por pares]England: BioMed Central LtdTexto completo disponível |
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10 |
Material Type: Artigo
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Investigating systematic bias in brain age estimation with application to post‐traumatic stress disordersLiang, Hualou ; Zhang, Fengqing ; Niu, XinHuman brain mapping, 2019-08, Vol.40 (11), p.3143-3152 [Periódico revisado por pares]Hoboken, USA: John Wiley & Sons, IncTexto completo disponível |