Simon Lin

An artificial intelligence-based approach for identifying rare disease patients using retrospective electronic health records applied for Pompe disease

F. Lagler, E. Aigner, J. Nateqi, 2023, Frontiers in Neurology.

Language, Speech, and Facial Expression Features for Artificial Intelligence–Based Detection of Cancer Survivors’ Depression: Scoping Meta-Review

Urška Smrke, N. Plohl, I. Mlakar, 2021, JMIR mental health.

Language, Speech, and Facial Expression Features for Artificial Intelligence–Based Detection of Cancer Survivors’ Depression: Scoping Meta-Review (Preprint)

Urška Smrke, I. Mlakar, Nejc Plohl, 2021 .

Patients-centered SurvivorShIp care plan after Cancer treatments based on Big Data and Artificial Intelligence technologies (PERSIST): a multicenter study protocol to evaluate efficacy of digital tools supporting cancer survivors

Jean-François Kaux, Izidor Mlakar, Didier Maquet, 2021, BMC Medical Informatics and Decision Making.

Machine Learning Algorithms to Predict Breast Cancer Recurrence Using Structured and Unstructured Sources from Electronic Health Records

J. Pazos-Arias, G. Del Fiol, M. López-Nores, 2023, Cancers.

Establishing an Expert Consensus on Key Indicators of the Quality of Life among Breast Cancer Survivors: A Modified Delphi Study

P. Kolh, M. Horvat, L. Diéguez, 2022, Journal of clinical medicine.

Quality of Life of Colorectal Cancer Survivors: Mapping the Key Indicators by Expert Consensus and Measures for Their Assessment

Jean-Paul Calbimonte, I. Mlakar, Simon Lin, 2024, Healthcare.

Multilingual Framework for Risk Assessment and Symptom Tracking (MRAST)

M. Rojc, N. Plohl, I. Mlakar, 2024, Sensors.