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Original research
Machine learning improves prediction of delayed cerebral ischemia in patients with subarachnoid hemorrhage
  1. Lucas Alexandre Ramos1,2,
  2. Wessel E van der Steen1,3,4,5,
  3. Renan Sales Barros1,2,
  4. Charles B L M Majoie3,
  5. Rene van den Berg3,
  6. Dagmar Verbaan2,
  7. W Peter Vandertop4,
  8. I Jsbrand Andreas Jan Zijlstra3,
  9. A H Zwinderman2,
  10. Gustav J Strijkers1,3,
  11. Silvia Delgado Olabarriaga2,
  12. Henk A Marquering1,3
  1. 1 Department of Biomedical Engineering and Physics, Academic Medical Center, Amsterdam, The Netherlands
  2. 2 Department of Clinical Epidemiology, Biostatistics and Bioinformatics, Academic Medical Center, Amsterdam, The Netherlands
  3. 3 Department of Radiology and Nuclear Medicine, Academic Medical Center, Amsterdam, The Netherlands
  4. 4 Neurosurgical Center Amsterdam, Academic Medical Center, Amsterdam, The Netherlands
  5. 5 Department of Neurology, Academic Medical Center, Amsterdam, The Netherlands
  1. Correspondence to MSc Lucas Alexandre Ramos, Department of Biomedical Engineering and Physics, Academic Medical Center, Amsterdam 1105 AZ, The Netherlands; l.a.ramos{at}amc.uva.nl

Footnotes

  • Contributors LAR: Machine learning, deep learning, programming, data pre-processing, statistical analysis, study design, literature review and manuscript writing and review. WEvdS: Study design, data pre-processing, literature and manuscript review. RSB: Machine learning, deep learning, programming and manuscript and literature review. CBLMM, RvdB, IJAZ: Study design, data collection, and manuscript review. DV: Data management, study design, manuscript review. WPV: Study design and manuscript review. AHZ: Machine learning, deep learning, statistical analysis, study design and supervision and manuscript review. GJS: Study design, supervision and manuscript review. SDO: Machine learning, deep learning, data analysis, study design and supervision, manuscript writing and review. HAM: Machine learning, deep learning, data analysis, study design and supervision, manuscript writing and review.

  • Funding This work was supported by ITEA3 grant number 14003 Medolution.

  • Competing interests None declared.

  • Patient consent Not required.

  • Ethics approval The medical ethics committee of Academic Medical Center.

  • Provenance and peer review Not commissioned; externally peer reviewed.

  • Data sharing statement Because of the sensitive nature of the data, it is available upon request to the corresponding author. All code used is publicly available at the authors Github page (https://github.com/L-Ramos/DCI_Prediction.git).

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Footnotes

  • Contributors LAR: Machine learning, deep learning, programming, data pre-processing, statistical analysis, study design, literature review and manuscript writing and review. WEvdS: Study design, data pre-processing, literature and manuscript review. RSB: Machine learning, deep learning, programming and manuscript and literature review. CBLMM, RvdB, IJAZ: Study design, data collection, and manuscript review. DV: Data management, study design, manuscript review. WPV: Study design and manuscript review. AHZ: Machine learning, deep learning, statistical analysis, study design and supervision and manuscript review. GJS: Study design, supervision and manuscript review. SDO: Machine learning, deep learning, data analysis, study design and supervision, manuscript writing and review. HAM: Machine learning, deep learning, data analysis, study design and supervision, manuscript writing and review.

  • Funding This work was supported by ITEA3 grant number 14003 Medolution.

  • Competing interests None declared.

  • Patient consent Not required.

  • Ethics approval The medical ethics committee of Academic Medical Center.

  • Provenance and peer review Not commissioned; externally peer reviewed.

  • Data sharing statement Because of the sensitive nature of the data, it is available upon request to the corresponding author. All code used is publicly available at the authors Github page (https://github.com/L-Ramos/DCI_Prediction.git).

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