Anup Kumar Mishra

About

My general research area is Machine Learning and Biomedical Informatics using EHR and Sensor Data, my current research is focused on Early Prediction of Diseases, specifically Pancreatic Cancer using Machine Learning.

Employment

• Mayo Clinic Assistant Professor
  2025 - Present
• Mayo Clinic Senior Data Science Analyst
  2022 - Present
• Blessing Hospital Data Scientist
  2021 - 2022
• Foresite Healthcare, LLC Machine Learning Engineer
  2016 - 2018
• University of Missouri Research Assistant/PhD Candidate
  2015 - 2021
• University of Missouri Research Assistant
  2013 - 2015
• Mindtree Ltd Programmer Analyst
  2012 - 2013

Education

• University of Missouri Ph.D.
• University of Missouri M.S.
• Biju Patnaik University of Technology B. Tech.

Projects & Funding

Projects & funding information is unavailable.

Publications (23)

• Artificial Intelligence‐Estimated Intrapancreatic Fat and Its Relationship to Familial and Germline Pancreatic Cancer Risk
  United European Gastroenterology Journal 2026 DOI: 10.1002/ueg2.70279
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• Machine Learning Models for Pancreatic Cancer Risk Prediction Using Electronic Health Record Data—A Systematic Review and Assessment
  American Journal of Gastroenterology 2024 DOI: 10.14309/ajg.0000000000002870
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• Identification of pancreatic cancer risk factors from clinical notes using natural language processing
  Pancreatology 2024 DOI: 10.1016/j.pan.2024.03.016
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• Machine Learning-Based Classification of Abnormal Liver Tissues Using Relative Permittivity
  Sensors 2022 DOI: 10.3390/s22249919
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• Explainable Fall Risk Prediction in Older Adults Using Gait and Geriatric Assessments
  Frontiers in Digital Health 2022 DOI: 10.3389/fdgth.2022.869812
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• Evaluating a Population Health Intervention: Insights from a Diabetes Management Program
  Population Health Leadership Series: PopTalk Webinars. Paper 39 2022
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• Explainable Fall Risk Prediction in Older Adults
  Healthcare Innovations and Point-of-Care Technologies (HI-POCT), 2022 7th Annual Conference of the IEEE 2022
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• Predicting personalized health from electronic health records and in-home sensor data.
  Dept. of ECE at Pratt School of Engineering, and School of Nursing, Duke University 2020
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• Tracking personalized functional health in older adults using geriatric assessments
  BMC Medical Informatics and Decision Making 2020 DOI: 10.1186/s12911-020-01283-y
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• Development of a Functional Health Index for Older Adults using the Electronic Health Record
  IEEE EMBS International Conference on Biomedical & Health Informatics (BHI), Chicago, IL, USA 2019
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