Validation of Acute Pancreatitis Using Machine Learning and Multi-Site Adaptation for Anaphylaxis

Project Title Validation of Acute Pancreatitis Using Machine Learning and Multi-Site Adaptation for Anaphylaxis
Date Posted
Tuesday, April 30, 2019
Status
In progress
Description

A general methodological framework for developing improved health outcome of interest identification algorithms in the Sentinel Distributed Databases (SDD) using machine learning and natural language processing (NLP) techniques is being developed for the ongoing Sentinel project, “Validation of Anaphylaxis Using Machine Learning.”

This project will build on the anaphylaxis algorithm development work at one Data Partner and will have four aims:

  • Aim 1: Extend and evaluate the applicability of the ongoing anaphylaxis algorithm development work at one Data Partner by scaling the algorithm and case identification procedures for use at a second Sentinel Data Partner. 
  • Aim 2: Use and evaluate the ability of the general framework built for anaphylaxis to conduct chart review for acute pancreatitis.
  • Aim 3: Use and evaluate the ability of the general framework built for anaphylaxis to conduct “deep annotation” of validated acute pancreatitis cases.
  • Aim 4: Given the establishment of a “ground truth” of validated acute pancreatitis cases using expert medical chart review, use and evaluate the ability of the general framework built for anaphylaxis to conduct machine learning and utilize NLP techniques to develop risk prediction models. The aim is to improve the accuracy with which acute pancreatitis can be identified using structured and unstructured electronic data. 
Workgroup Leader(s)

Jennifer Nelson PhD; David Carrell PhD; Kaiser Permanente Washington Health Research Institute, Seattle, WA

Workgroup Members

Adebola Ajao PhD; Robert Ball MD, MPH, ScM; Steven Bird PharmD, PhD, MS; Sara Karami PhD, MPH; Michael Nguyen MD; Danijela Stojanovic PharmD, PhD; Mingfeng Zhang MD, PhD; Office of Surveillance and Epidemiology, Center for Drug Evaluation and Research, U.S. Food and Drug Administration, Silver Spring, MD

Yong Ma PhD; Yueqin Zhao PhD, Office of Biostatistics, Center for Drug Evaluation and Research, U.S. Food and Drug Administration, Silver Spring, MD

David Cronkite MS; Monica Fuji MPH; Jing Zhou PhD; Kaiser Permanente Washington Health Research Institute, Seattle, WA

James Floyd MD, MS; University of Washington, Seattle, WA

Adi Bejan PhD; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN

Kevin Haynes PharmD, MSCE; HealthCore, Wilmington, DE

Brian Hazlehurst PhD; Kaiser Permanente Center for Health Research, Kaiser Permanente Northwest, Portland, OR

Adee Kennedy MS, MPH; Judith Maro PhD; Mayura Shinde PhD, MPH; Department of Population Medicine, Harvard Pilgrim Health Care Institute and Harvard Medical School, Boston, MA

Susan Gruber PhD, MPH; Putnam Data Sciences, LLC.

Health Outcome
acute pancreatitis
Time Period
April 2019 – March 2021
Data Sources
Sentinel Distributed Database (SDD)
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