Survey: Big data application in biomedical research

Yvonne Bachiller, Peter Busch, Manolya Kavakli, Len Hamey

Research output: Unpublished contribution to conferenceUnpublished Conference Paperpeer-review


In recent years, the emergence of diverse applications created a plethora of data and immense sources that can be applied in varying areas of the industry worldwide escalating its capabilities including biomedicine. Subsequently, analytical tools loomed to leverage the availability of massive data to analyze and elicit meaningful information to improve biomedical research and enhance healthcare systems. Algorithms applied in these analytical tools supplements the prognosis of diseases and personalized treatment of fatal diseases. This survey will evaluate algorithms used in bio medical research for personalized precision medicine, dissect the characteristics that made breakthrough in improving the efficiency of the analytical tool and identify the possible applicability in other diseases. It will focus on the machine learning and deep learning algorithms, both supervised and unsupervised that is applied in terminal diseases.

Original languageEnglish
Number of pages5
Publication statusPublished - 24 Feb 2018
Event10th International Conference on Computer and Automation Engineering, ICCAE 2018 - Brisbane, Australia
Duration: 24 Feb 201826 Feb 2018


Conference10th International Conference on Computer and Automation Engineering, ICCAE 2018

Bibliographical note

Publisher Copyright:
© 2018 Association for Computing Machinery.


  • Algorithms
  • Big data
  • Biomedicine
  • Deep learning
  • Disease diagnosis
  • Machine learning


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