This course has past—thank you to all who attended! 

Course Description:

Recent advances in data science are revolutionizing medicine and can be used to improve clinical research in neurosurgery. Utilizing data science in clinical research requires knowledge of various data science methods and best practices for collecting and curating data. This course builds upon the previous course in 2021*, which focused on imaging analysis, and emphasizes machine learning techniques to build prognostic models. 

Using examples from traumatic brain injury, cerebral vasospasm, and spine disorders, participants will be guided through the different steps of a machine learning project with a focus on creating interpretable models to predict clinical outcomes. This course is suitable for those who do not know how to code or model build themselves and is not designed to teach coding. The aim is to teach neurosurgeons how data science is applied in prognostication for neurosurgical diseases.

Learning Objectives:

• Organize a data science project to build a prognostic model from data sets of neurosurgical patients.
• Utilize cutting methods in data science to analyze complex data structures not optimally modeled by standard statistical techniques.
• Identify how interpretable artificial intelligence (AI) allows clinicians to understand how data science models prognosticate and assign importance to various model features.

Course Directors: Mo Bydon, Daniel Donoho, Matt Pease, and Daniel Sexton

ACCME Accreditation Statement

The Congress of Neurological Surgeons is accredited by the Accreditation Council for Continuing Medical Education (ACCME) to provide continuing medical education for physicians 

 AMA Credit Designation Statement(s)

The Congress of Neurological Surgeons designates this live activity for a maximum of 5 AMA PRA Category 1 Credits™.

The Congress of Neurological Surgeons is accredited by the Accreditation Council for Continuing Medical Education (ACCME) to provide continuing medical education for physicians.

Registration Rates*

Member: $300.00

Nonmember: $450.00

Individual Resident: $125.00

Resident Bundle: $300.00

View instructions for the resident bundle. 

* For those who did not take the 2021 Data Science Course and would like to take it prior to this course, registrants for the 2022 course are eligible for a discount on the previously recorded sessions.