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.

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

This multi-center trial will be conducted in Spain. The overall duration of the study is approximately 36 months.

Inclusion Criteria:

1. CD participant diagnosed or not with CPF between January 1st 2015 and December 31st 2021.

Exclusion Criteria:

Not applicable.

Participants with CD diagnosed with or without CPF during the study period.

Takeda provides access to the de-identified individual participant data (IPD) for eligible studies to aid qualified researchers in addressing legitimate scientific objectives (Takeda's data sharing commitment is available on https://clinicaltrials.takeda.com/takedas-commitment?commitment=5). These IPDs will be provided in a secure research environment following approval of a data sharing request, and under the terms of a data sharing agreement.

IPD from eligible studies will be shared with qualified researchers according to the criteria and process described on https://vivli.org/ourmember/takeda/. For approved requests, the researchers will be provided access to anonymized data (to respect patient privacy in line with applicable laws and regulations) and with information necessary to address the research objectives under the terms of a data sharing agreement.