---
title: Prediction in claims databases for epidemiological research.
description: >-
  Explore this publication on real-world evidence: Prediction in claims
  databases for epidemiological research..
date: '2024-01-01'
category: Publications
tags:
  - David A. Pritchard
  - Poster Presentation
  - Approval & Commercialization
  - 'Yes'
  - R&D
canonical_url: >-
  https://www.headwaterscience.com/resources/publications/author-david-a-pritchard/prediction-in-claims-databases-for-epidemiological-research/
source: Headwater
license: © 2026 Headwater. All rights reserved.
slug: prediction-in-claims-databases-for-epidemiological-research
id: 1LaNXvc2Lij5ZZiyiATKS4
contentType: article
---

## Challenge

Machine learning and prediction modeling in healthcare claims databases face unique challenges—including right censoring, feature engineering for longitudinal data, and index date selection—that leave many applied researchers without practical guidance.

## Solution

Target RWE researchers presented a framework for prediction in healthcare claims databases covering index date selection, longitudinal feature engineering strategies, model training with right-censored data, and the potential of deep learning for sequential healthcare event data.

## Use Cases/Links

[Read the publication](https://www.targetrwe.com/media/1977/pritchard_poster_3.pdf)