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International Conference on Machine Learning and Data Mining in Pattern Recognition

MLDM 2017: Machine Learning and Data Mining in Pattern Recognition pp 206–219Cite as

Machine Learning-as-a-Service and Its Application to Medical Informatics

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10358))

Abstract

Machine learning as an advanced computational technology has been around for several years in discovering patterns from diverse biomedical data sources and providing excellent capabilities ranging from gene annotation to predictive phenotyping. However, machine learning strategies remain underused in small and medium-scale biomedical research labs where they have been collaboratively providing a reasonable amount of scientific knowledge. While most machine learning algorithms are complicated in code, theses labs and individual researchers could accomplish iterative data analysis using different machine learning techniques if they had access to highly available machine learning components and powerful computational infrastructures. In this contribution, we provide a comparison of several state-of-the-art Machine Learning-as-a-Service platforms along with their capabilities in medical informatics. In addition, we performed several analyses to examine the qualitative and quantitative attributes of two Machine Learning-as-a-Service environments namely “BigML” and “Algorithmia”.

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Author information

Authors and Affiliations

  1. Biomedical Informatics Research Center, Marshfield Clinic Research Institute, Marshfield, WI, 54449, USA

    Ahmad P. Tafti, Eric LaRose, Jonathan C. Badger & Peggy Peissig

  2. Computation and Informatics in Biology and Medicine, University of Wisconsin-Madison, Madison, WI, 53706, USA

    Ross Kleiman & Peggy Peissig

Authors
  1. Ahmad P. Tafti
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  2. Eric LaRose
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  3. Jonathan C. Badger
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  4. Ross Kleiman
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  5. Peggy Peissig
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Corresponding authors

Correspondence to Ahmad P. Tafti or Peggy Peissig .

Editor information

Editors and Affiliations

  1. Institute of Computer Vision and Applied Computer Sciences, Leipzig, Sachsen, Germany

    Petra Perner

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Tafti, A.P., LaRose, E., Badger, J.C., Kleiman, R., Peissig, P. (2017). Machine Learning-as-a-Service and Its Application to Medical Informatics. In: Perner, P. (eds) Machine Learning and Data Mining in Pattern Recognition. MLDM 2017. Lecture Notes in Computer Science(), vol 10358. Springer, Cham. https://doi.org/10.1007/978-3-319-62416-7_15

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  • DOI: https://doi.org/10.1007/978-3-319-62416-7_15

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-62415-0

  • Online ISBN: 978-3-319-62416-7

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