Ileana Montoya Perez
PhD in Computer Science
iimope@utu.fi Office: 452B ORCID identifier: https://orcid.org/0000-0002-9744-9204 |
Areas of expertise
Data analysis; Machine learning; Statistics; Databases; Web-development
Data analysis; Machine learning; Statistics; Databases; Web-development
Biography
Research
Teaching
Publications
- Adoption of the OMOP CDM for Cancer Research: A prostate cancer use-case (2025) OHDSI Europe Symposium 2025 Hatzakis, Manos; Vidakis, Thanos; Montoya Perez, Ileana; Clinckaerts, Andries; Ettala, Otto; Högerman, Mikael; Movahedi, Parisa; Pahikkala, Tapio; Airola, Antti; Everaerts, Wouter; De Vos, Maarten; Chatzichristos, Christos
(Abstract) - Hospital Participation in Federated Learning: Evaluating Sustainability and Clinical Utility (2025)
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society
(A4 Refereed article in a conference publication ) - Improved diagnostic performance of a phage display antibody-assisted intact free PSA assay as used in the four kallikrein concept applied to the IMPROD/multi-IMPROD study (2025)
- Clinica Chimica Acta
(A1 Refereed original research article in a scientific journal) - Response to Letter by Dehaene et al. on Synthetic Discovery is not only a Problem of Differentially Private Synthetic Data (2025)
- Methods of Information in Medicine
(B1 Non-refereed article in a scientific journal) - (2025)
- International Journal of Medical Informatics
(A1 Refereed original research article in a scientific journal) - (2024)
- IEEE Access
(A1 Refereed original research article in a scientific journal) - Data analysis with limited data availability: prostate cancer prediction and characterization as a case study (2024) Montoya Perez, Ileana
(G5 Article dissertation ) - Does Differentially Private Synthetic Data Lead to Synthetic Discoveries?Lectin-nanoparticle concept for free PSA glycovariant providing superior cancer specificity (2024)
- Methods of Information in MedicineClinica Chimica Acta
(A1 Refereed original research article in a scientific journal) - Finnish perspective on using synthetic health data to protect privacy: the PRIVASA project (2024)
- Applied Computing and Intelligence
(A1 Refereed original research article in a scientific journal) - (2024)
(A1 Refereed original research article in a scientific journal)



