DETAK-C Dataset

The 2025 DETAK-C dataset is part of the DETAK project, which aims to improve the triage and management of Acute Coronary Syndrome (ACS). Data were collected using the artificial intelligence (AI)-powered mobile application DETAK—C Android application in Indonesia.  The DETAK-C application triages patients with ACS to appropriate healthcare providers. The application was piloted in Malang, Indonesia between 2019-2024, because of collaborative efforts between the University of Brawijaya, Malang, and UNSW Sydney.  By leveraging AI, DETAK-C enhances early detection and decision-making, making it a significant contributor to cardiovascular healthcare. 

The 2025 DETAK-C dataset comprises users who installed the application between 2019 and 2024 and encompasses a cohort of approximately 12,000 users. Of the 12,000 users, ACS outcome data were available for over 1,200 users .  The dataset includes 4,588 male and 8,754 female patients, covering a wide age range of 18–85+ years. Most users fell within the age group of 25-50 reflecting the critical demographics for ACS risk assessment and management. With its diverse and extensive patient representation, the DETAK-C dataset serves as a dynamic resource for researchers, clinicians, and policymakers aiming to enhance ACS detection and management in low-resource settings such as Indonesia. 

To support the scaling up of the DETAK-C app for larger provinces, the 2025 International Workshop on Digital Cardiovascular Health in Indonesia is being organized to foster collaboration and innovation in digital cardiovascular health solutions. 2025 International Workshop on Digital Cardiovascular Health in Indonesia2025 International Workshop on Digital Cardiovascular Health in Indonesia

Dataset access instructions 

• This form must be filled in to obtain access to the dataset. 

• Once the request is approved, please sign and return the SREDH Consortium membership, data usage, and project description forms that will be emailed after filling out the data request form above.  

• Upon verification of the received documents, the dataset can be downloaded from the SREDH Platform.  

• You will be contacted to submit a progress report every six months until the completion of the project.

Access Criteria 

• Available to researchers (academic and non-academic) for non-commercial use only. 

• Researchers must have experience in handling sensitive patient data and training in ethics. 

• Researchers are required to report biannually to the SREDH Consortium regarding any research output that arises. 

• Any output arising from this dataset must be reviewed by the data custodian (SREDH Consortium) before submission

Selected Publications 

Lukitasari, M., Apriliyawan, S., Manistamara, H., Sella, Y., Rohman, M., & Jonnagaddala, J. (2023). Focused Chest Pain Assessment for Early Detection of Acute Coronary Syndrome: Development of a Cardiovascular Digital Health Intervention. Global Heart, 18, 18. https://doi.org/10.5334/gh.1194 

Lukitasari, M., Nazareno, L., Allen., Rohman, S., Mohammad., & Jonnagaddala, J. (2025). Validation of DETAK Mobile App for Assessing Chest Pain and Predicting  Acute Coronary Syndrome 20th World Congress on Medical and Health Informatics: MedInfo, Taipei, Taiwan