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Refinado por: Nome da Publicação: Artificial Intelligence In Medicine remover assunto: Medicine remover
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Sentiment analysis in medical settings: New opportunities and challenges
Sentiment analysis in medical settings: New opportunities and challenges
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Sentiment analysis in medical settings: New opportunities and challenges

Denecke, Kerstin ; Deng, Yihan

Artificial intelligence in medicine, 2015-05, Vol.64 (1), p.17-27 [Periódico revisado por pares]

Netherlands: Elsevier B.V

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2
The coming of age of artificial intelligence in medicine
The coming of age of artificial intelligence in medicine
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The coming of age of artificial intelligence in medicine

Patel, Vimla L ; Shortliffe, Edward H ; Stefanelli, Mario ; Szolovits, Peter ; Berthold, Michael R ; Bellazzi, Riccardo ; Abu-Hanna, Ameen

Artificial intelligence in medicine, 2009-05, Vol.46 (1), p.5-17 [Periódico revisado por pares]

Netherlands: Elsevier B.V

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3
Abstraction networks for terminologies: Supporting management of “big knowledge”
Abstraction networks for terminologies: Supporting management of “big knowledge”
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Abstraction networks for terminologies: Supporting management of “big knowledge”

Halper, Michael ; Gu, Huanying ; Perl, Yehoshua ; Ochs, Christopher

Artificial intelligence in medicine, 2015-05, Vol.64 (1), p.1-16 [Periódico revisado por pares]

Netherlands: Elsevier B.V

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4
Machine learning for medical diagnosis: history, state of the art and perspective
Machine learning for medical diagnosis: history, state of the art and perspective
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Machine learning for medical diagnosis: history, state of the art and perspective

Kononenko, Igor

Artificial intelligence in medicine, 2001-08, Vol.23 (1), p.89-109 [Periódico revisado por pares]

Netherlands: Elsevier B.V

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5
A semi-supervised learning framework for biomedical event extraction based on hidden topics
A semi-supervised learning framework for biomedical event extraction based on hidden topics
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A semi-supervised learning framework for biomedical event extraction based on hidden topics

Zhou, Deyu ; Zhong, Dayou

Artificial intelligence in medicine, 2015-05, Vol.64 (1), p.51-58 [Periódico revisado por pares]

Netherlands: Elsevier B.V

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6
Bayesian networks in biomedicine and health-care
Bayesian networks in biomedicine and health-care
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Bayesian networks in biomedicine and health-care

Lucas, Peter J.F. ; van der Gaag, Linda C. ; Abu-Hanna, Ameen

Artificial intelligence in medicine, 2004-03, Vol.30 (3), p.201-214 [Periódico revisado por pares]

Netherlands: Elsevier B.V

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7
Automated machine learning: Review of the state-of-the-art and opportunities for healthcare
Automated machine learning: Review of the state-of-the-art and opportunities for healthcare
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Automated machine learning: Review of the state-of-the-art and opportunities for healthcare

Waring, Jonathan ; Lindvall, Charlotta ; Umeton, Renato

Artificial intelligence in medicine, 2020-04, Vol.104, p.101822-101822, Article 101822 [Periódico revisado por pares]

Elsevier B.V

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8
Reinforcement learning for intelligent healthcare applications: A survey
Reinforcement learning for intelligent healthcare applications: A survey
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Reinforcement learning for intelligent healthcare applications: A survey

Coronato, Antonio ; Naeem, Muddasar ; De Pietro, Giuseppe ; Paragliola, Giovanni

Artificial intelligence in medicine, 2020-09, Vol.109, p.101964-101964, Article 101964 [Periódico revisado por pares]

Elsevier B.V

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9
Deep convolutional neural networks for brain image analysis on magnetic resonance imaging: a review
Deep convolutional neural networks for brain image analysis on magnetic resonance imaging: a review
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Deep convolutional neural networks for brain image analysis on magnetic resonance imaging: a review

Bernal, Jose ; Kushibar, Kaisar ; Asfaw, Daniel S. ; Valverde, Sergi ; Oliver, Arnau ; Martí, Robert ; Lladó, Xavier

Artificial intelligence in medicine, 2019-04, Vol.95, p.64-81 [Periódico revisado por pares]

Netherlands: Elsevier B.V

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10
Early detection of sepsis utilizing deep learning on electronic health record event sequences
Early detection of sepsis utilizing deep learning on electronic health record event sequences
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Early detection of sepsis utilizing deep learning on electronic health record event sequences

Lauritsen, Simon Meyer ; Kalør, Mads Ellersgaard ; Kongsgaard, Emil Lund ; Lauritsen, Katrine Meyer ; Jørgensen, Marianne Johansson ; Lange, Jeppe ; Thiesson, Bo

Artificial intelligence in medicine, 2020-04, Vol.104, p.101820-101820, Article 101820 [Periódico revisado por pares]

Elsevier B.V

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