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Št. zadetkov: 7
Scoping review on the multimodal classification of depression and experimental study on existing multimodal models
Umut Arioz, Urška Smrke, Nejc Plohl, Izidor Mlakar
Pregledni znanstveni članek
Oznake: multimodalna klasifikacija;pregled;realni podatki;psihično zdravje;ne zaključna dela;multimodal depression classification;scoping review;real-world data;mental health;
Depression is a prevalent comorbidity in patients with severe physical disorders, such as cancer, stroke, and coronary diseases. Although it can significantly impact the course of the primary disease, the signs of depression are often underestimated and overlooked. The aim of this paper was to revie ...
Leto: 2022 Vir: Fakulteta za elektrotehniko, računalništvo in informatiko (UM FERI)
Weakly-supervised multilingual medical NER for symptom extraction for low-resource languages
Rigon Sallauka, Umut Arioz, Matej Rojc, Izidor Mlakar
Izvirni znanstveni članek
Oznake: low-resource languages;machine translation;medical entity extraction;NER;NLP;patient-reported outcomes;weakly-supervised learning;
Patient-reported health data, especially patient-reported outcomes measures, are vital for improving clinical care but are often limited by memory bias, cognitive load, and inflexible questionnaires. Patients prefer conversational symptom reporting, highlighting the need for robust methods in sympto ...
Leto: 2025 Vir: Fakulteta za elektrotehniko, računalništvo in informatiko (UM FERI)
ǂAn ǂend-to-end framework for extracting observable cues of depression from diary recordings
Izidor Mlakar, Umut Arioz, Urška Smrke, Nejc Plohl, Valentino Šafran, Matej Rojc
Izvirni znanstveni članek
Oznake: obrazne poteze;jezikovni namigi;globoko učenje;umetna inteligenca;digital biomarkers of depression;facial cues;speech cues;language cues;deep learning;end-to-end pipeline;artificial intelligence;
Because of the prevalence of depression, its often-chronic course, relapse and associated disability, early detection and non-intrusive monitoring is a crucial tool for timely diagnosis and treatment, remission of depression and prevention of relapse. In this way, its impact on quality of life and w ...
Leto: 2024 Vir: Fakulteta za elektrotehniko, računalništvo in informatiko (UM FERI)
Evaluating the benefits and implementation challenges of digital health interventions for improving self-efficacy and patient activation in cancer survivors
Umut Arioz, Urška Smrke, Valentino Šafran, Maja Ravnik, Matej Horvat, Vojko Flis, Izidor Mlakar
Izvirni znanstveni članek
Oznake: cancer survivorship;self-efficacy;satisfaction;patient activation;digital health interventions;
Cancer survivors face numerous challenges, and digital health interventions can empower them by enhancing self-efficacy and patient activation. This prospective study aimed to assess the impact of a mHealth app on self-efficacy and patient activation in 166 breast and colorectal cancer survivors. Pa ...
Leto: 2025 Vir: Fakulteta za elektrotehniko, računalništvo in informatiko (UM FERI)
Unlocking the power of socially assistive robotic nurses in hospitals through innovative living lab methodology
Umut Arioz, Božidar Bratina, Izidor Mlakar, Nejc Plohl, Suzana Uran, Igor Robert Roj, Riko Šafarič, Valentino Šafran
Izvirni znanstveni članek
Oznake: co-creation;stakeholder engagement;socially assistive humanoid robots;living lab;hospital care;
Objectives: Pilot 5 utilizes AI and robotics to develop a robotic nurse assisting hospital staff in response to workforce shortages and rising care demands due to an aging population. This project aims to optimize resources, reduce errors, and improve patient satisfaction through personalized care. ...
Leto: 2024 Vir: Fakulteta za elektrotehniko, računalništvo in informatiko (UM FERI)
Radiotherapy department supported by an optimization algorithm for scheduling patient appointments
Marcela Chavez, Silvia Gonzalez, Ruiz Alvaro, Duflot Patrick, Nicolas Jansen, Izidor Mlakar, Umut Arioz, Valentino Šafran, Philippe Kolh, Van Gasteren Marteyn
Izvirni znanstveni članek
Oznake: appointments;hospital management;optimization algorithm;patient satisfaction;planning;radiotherapy;
Prompt administration of radiotherapy (RT) is one of the most effective treatments against cancer. Eachday, the radiotherapy departments of large hospitals must plan numerous irradiation sessions, con-sidering the availability of human and material resources, such as healthcare professionals and lin ...
Leto: 2025 Vir: Fakulteta za elektrotehniko, računalništvo in informatiko (UM FERI)
Multilingual framework for risk assessment and symptom tracking (MRAST)
Valentino Šafran, Simon Lin, Jama Nateqi, Alistair G. Martin, Urška Smrke, Umut Arioz, Nejc Plohl, Matej Rojc, Dina Běma, Marcela Chavez, Matej Horvat, Izidor Mlakar
Izvirni znanstveni članek
Oznake: večjezično ogrodje;ocena tveganja;kronične bolezni;multilingual framework;risk assessment;symptom tracking;chronic diseases;patient-centered care;real-world data;
The importance and value of real-world data in healthcare cannot be overstated because it offers a valuable source of insights into patient experiences. Traditional patient-reported experience and outcomes measures (PREMs/PROMs) often fall short in addressing the complexities of these experiences du ...
Leto: 2024 Vir: Fakulteta za elektrotehniko, računalništvo in informatiko (UM FERI)
Št. zadetkov: 7
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