Use of Natural Language Processing (NLP) and Machine Learning (ML) for the Identification of Patients With Crohn's Disease (CD) and Complex Perianal Fistulas (CPF) and Their Characterization in Terms of Clinical and Demographic Characteristics. A Multicentre, Retrospective, NLP Based Study
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 发起方
- 入组人数
- 32
- 试验地点
- 3
- 主要终点
- Percentage of Participants With CD and CPF Accurately Identified With the use of NLP and Medical Language (MEL)
研究概览
简要总结
Natural Language Processing and machine learning are examples of artificial intelligence tools. This study will check if these tools correctly identify people with Crohn's disease with complex perianal fistulas from their medical records.
详细描述
This is a non-interventional, retrospective study of participants with CD and CPF in a clinical practice setting.
The study will enroll approximately 100 participants.
The study will have a retrospective data collection to select and analyze information from EMRs processed by an AI based analytics framework that uses machine learning and NLP methodologies.
All participants will be enrolled in one observational group.
• Participants with CD
研究设计
- 研究类型
- Observational
- 观察模型
- Cohort
- 时间视角
- Retrospective
入排标准
- 年龄范围
- 18 Years 至 —（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •CD participant diagnosed or not with CPF between January 1st 2015 and December 31st 2021.
排除标准
- •Not applicable.
结局指标
主要结局
Percentage of Participants With CD and CPF Accurately Identified With the use of NLP and Medical Language (MEL)
时间窗: Up to Month 36
Percentage of participants will be measured in terms of accuracy and precision (sensitivity and specificity) of the "algorithm" used to identify participants with CPF associated with CD. Data obtained through the artificial intelligence (AI) technology will be compared with data obtained through traditional electronic data capture (EDC) and source data verification methods.
次要结局
- Number of Participants With CD and CPF Characterized Using NLP and Machine Learning Techniques(Up to Month 36)