1. Quality of life of colorectal cancer survivors : mapping the key indicators by expert consensus and measures for their assessmentUrška Smrke, Sara Abalde-Cela, Catherine Loly, Jean-Paul Calbimonte, Liliana Pires, Simon Lin, Alberto Sánchez, Sara Tement, Izidor Mlakar, 2024, izvirni znanstveni članek Ključne besede: quality of life, surveys and questionnaires, adult oncology, colorectal cancer survivors, Delphi study, scoping review, expert consensus
Objavljeno v DKUM: 15.01.2025; Ogledov: 0; Prenosov: 1
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2. Assistive digital technology to promote quality of life and independent living for older adults through improved self-regulation : ǂa ǂscoping reviewGaja Zager Kocjan, Tanja Špes, Matija Svetina, Nejc Plohl, Urška Smrke, Izidor Mlakar, Bojan Musil, 2022, izvirni znanstveni članek Opis: Digital technologies can be a key component in helping older adults maintain their autonomy and quality of life in their homes and communities. The purpose of this scoping review was to examine the existing literature on the role of assistive digital technologies in promoting a higher quality of life and independent living for older adults by supporting their self-regulation in various aspects of daily living. The review was conducted and reported in accordance with PRISMA guidelines. Major electronic databases were searched to identify relevant articles published between 2012 and 2022. A total of 972 articles were identified, of which 19 articles met all inclusion criteria. Results are presented in four categories: (i) types of digital technologies, (ii) quality of life domains, (iii) quality of life benefits, and (iv) technological aspects supporting self-regulation. Our review also showed that successful adoption of assistive technologies depends on older adults’ trust in these technologies and the perceived benefits of technological support. Early involvement of older adults in the development of assistive technologies appears to play an important role in their technological self-efficacy. The limitations of the studies reviewed are discussed, and some general guidelines for future research in this area are suggested.
Ključne besede: digitalna tehnologija, podporna tehnologija, kakovost življenja, staranje, samouravnavanje, pregledni članek, digital technology, assistive technology, quality of life, aging, self-regulation, scoping review
Objavljeno v DKUM: 27.02.2024; Ogledov: 348; Prenosov: 6
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3. Scoping review on the multimodal classification of depression and experimental study on existing multimodal modelsUmut Arioz, Urška Smrke, Nejc Plohl, Izidor Mlakar, 2022, pregledni znanstveni članek Opis: 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 review algorithms for the automatic, uniform, and multimodal classification of signs of depression from human conversations and to evaluate their accuracy. For the scoping review, the PRISMA guidelines for scoping reviews were followed. In the scoping review, the search yielded 1095 papers, out of which 20 papers (8.26%) included more than two modalities, and 3 of those papers provided codes. Within the scope of this review, supported vector machine (SVM), random forest (RF), and long short-term memory network (LSTM; with gated and non-gated recurrent units) models, as well as different combinations of features, were identified as the most widely researched techniques. We tested the models using the DAIC-WOZ dataset (original training dataset) and using the SymptomMedia dataset to further assess their reliability and dependency on the nature of the training datasets. The best performance was obtained by the LSTM with gated recurrent units (F1-score of 0.64 for the DAIC-WOZ dataset). However, with a drop to an F1-score of 0.56 for the SymptomMedia dataset, the method also appears to be the most data-dependent.
Ključne besede: multimodal depression classification, scoping review, real-world data, mental health
Objavljeno v DKUM: 11.08.2023; Ogledov: 529; Prenosov: 72
Celotno besedilo (1,43 MB)
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