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Predictive Analysis in Chiari Malformation Type I

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The Chiari Malformations

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Abstract

It has become increasingly accepted that the various facets of medicine are not deterministic. Clinicians must weigh not just a set of fixed benchmarks while determining optimal patient care but must also incorporate a growing set of health data generated by their patients. The future of personalized healthcare lies in predictive analytics that utilizes algorithmically derived probabilities to augment patient care. Such an approach has immense potential in a condition such as Chiari I malformation that is characterized by heterogeneous presentations, management options, and postsurgical outcomes. The authors review various predictors identified in relation to CM I and discuss the findings and relevance of two novel algorithms in predicting outcome after CM I surgery.

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Acknowledgments

Source of Support: The authors have not received any support, in the form of grant, from any source for preparation of this chapter. Neither do the authors nor do their institutes have any personal or institutional financial interest in the contents of this submission.

Disclosure: There is no conflict of interest arising from this article.

Parts of this chapter have been published before in Thakar et al. [85]. Permission for reproducing material has been obtained from the Journal of Neurosurgery Publishing Group, AANS.

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Authors and Affiliations

  1. Department of Neurological Sciences, Sri Sathya Sai Institute of Higher Medical Sciences, Bangalore, Karnataka, India

    Sumit Thakar & Saritha Aryan

  2. Hospital Management Information System and Telemedicine, Sri Sathya Sai Institute of Higher Medical Sciences, Bangalore, Karnataka, India

    Subramaniyan Mani

  3. Department of Mathematics and Computer Science, Sri Sathya Sai Institute of Higher Learning, Puttaparthi, Andhra Pradesh, India

    R. Raghunatha Sarma

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  1. Sumit Thakar
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  2. Saritha Aryan
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  3. Subramaniyan Mani
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  4. R. Raghunatha Sarma
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Correspondence to Sumit Thakar .

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Editors and Affiliations

  1. Department of Neurosurgery, Tulane University School of Medicine, New Orleans, LA, USA

    R. Shane Tubbs

  2. Department of Neurosurgery, Aydın Adnan Menderes University School of Medicine, Efeler, Aydın, Turkey

    Mehmet Turgut

  3. Departments of Neurosurgery and Pediatrics, University of Alabama, Birmingham, AL, USA

    W. Jerry Oakes

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Thakar, S., Aryan, S., Mani, S., Sarma, R.R. (2020). Predictive Analysis in Chiari Malformation Type I. In: Tubbs, R., Turgut, M., Oakes, W. (eds) The Chiari Malformations. Springer, Cham. https://doi.org/10.1007/978-3-030-44862-2_48

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  • DOI: https://doi.org/10.1007/978-3-030-44862-2_48

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