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Predictive Analytics and Machine Learning with Dr. Anshul Kumar

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Manage episode 379398707 series 3496291
Content provided by jpaepodcast. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by jpaepodcast or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Join Dr. Trenton Honda, editor-and-chief for the Journal of PA Education, and co-host Carey Barry, Chair and Associate Clinical Professor in the Department of Medical Sciences at Northeastern University, as they chat with Dr. Anshul Kumar about his research on predictive analytics and machine learning. The three discuss how machine learning can predict which students are at risk for failing a high-stakes certification examination and the importance of having a research team with diverse skill sets and knowledge. They also talk in-depth about Kumar’s article, “The Application of Adaptive Minimum Match k-Nearest Neighbors to Identify At-Risk Students in Health Professions Education,” published in the September 2023 issue of The Journal of Physician Assistant Education.

Show Notes

Dr. Anshul Kumar, is an assistant professor at the MGH Institute of Health Professionals.

JPAE article: The Application of Adaptive Minimum Match k-Nearest Neighbors to Identify At-Risk Students in Health Professions Education

This podcast is produced by Association Briefings.

  continue reading

17 episodes

Artwork
iconShare
 
Manage episode 379398707 series 3496291
Content provided by jpaepodcast. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by jpaepodcast or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Join Dr. Trenton Honda, editor-and-chief for the Journal of PA Education, and co-host Carey Barry, Chair and Associate Clinical Professor in the Department of Medical Sciences at Northeastern University, as they chat with Dr. Anshul Kumar about his research on predictive analytics and machine learning. The three discuss how machine learning can predict which students are at risk for failing a high-stakes certification examination and the importance of having a research team with diverse skill sets and knowledge. They also talk in-depth about Kumar’s article, “The Application of Adaptive Minimum Match k-Nearest Neighbors to Identify At-Risk Students in Health Professions Education,” published in the September 2023 issue of The Journal of Physician Assistant Education.

Show Notes

Dr. Anshul Kumar, is an assistant professor at the MGH Institute of Health Professionals.

JPAE article: The Application of Adaptive Minimum Match k-Nearest Neighbors to Identify At-Risk Students in Health Professions Education

This podcast is produced by Association Briefings.

  continue reading

17 episodes

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