Zobrazeno 1 - 10 of 32 pro vyhledávání: '"Erik Dovgan"'
1
Akademický článek
A machine-learning approach to a mobility policy proposal
Autor: Miljana Shulajkovska, Maj Smerkol, Erik Dovgan, Matjaž Gams
Publikováno v: Heliyon, Vol 9, Iss 10, Pp e20393- (2023)
The objective of the URBANITE project is to design an open-data, open-source, smart-city framework to enhance the decision-making processes in European cities. The framework's basis is a robust and user-friendly simulation tool that is supplemented w
Externí odkaz: https://doaj.org/article/3d17a8a31e904b9eab680238ebe7b6a9
Zobrazit plný text záznamu
2
Akademický článek
Using machine learning models to predict the initiation of renal replacement therapy among chronic kidney disease patients.
Autor: Erik Dovgan, Anton Gradišek, Mitja Luštrek, Mohy Uddin, Aldilas Achmad Nursetyo, Sashi Kiran Annavarajula, Yu-Chuan Li, Shabbir Syed-Abdul
Publikováno v: PLoS ONE, Vol 15, Iss 6, p e0233976 (2020)
Starting renal replacement therapy (RRT) for patients with chronic kidney disease (CKD) at an optimal time, either with hemodialysis or kidney transplantation, is crucial for patient's well-being and for successful management of the condition. In thi
Externí odkaz: https://doaj.org/article/7e22730bee4343cebbbd5afc7b2038e0
Zobrazit plný text záznamu
3
Akademický článek
Intelligent elderly-care prototype for fall and disease detection
Autor: Erik Dovgan, Mitja Luštrek, Bogdan Pogorelc, Anton Gradišek, Helena Bruger, Matjaž Gams
Publikováno v: Zdravniški Vestnik, Vol 80, Iss 11 (2011)
Background: The number of elderly people in need of help with the activities of daily living in the EU is rapidly increasing, while the number of young workers is decreasing. Elderly care will, therefore, also have to be provided by intelligent compu
Externí odkaz: https://doaj.org/article/b9d06115995b40b8847d1d4f62ab02b7
Zobrazit plný text záznamu
6
Recognition of Behaviour Patterns for People with Profound Intellectual and Multiple Disabilities
Autor: Erik Dovgan, Gašper Slapničar, Mitja Luštrek, Jakob Valič
Publikováno v: UbiComp/ISWC Adjunct
People with profound intellectual and multiple disabilities (PIMD) are hard to understand because they are not capable of symbolic communication. Artificial intelligence can play a key role in recognizing behavior patterns with which they express the
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::48478f7c1e600fe796b6e73f54543b67
https://doi.org/10.1145/3460418.3479370
Zobrazit plný text záznamu
7
A Personal Health System for Self-Management of Congestive Heart Failure (HeartMan)
Autor: Erik Dovgan, Mitja Luštrek, Karin Slegers, Aljoša Vodopija, Marko Bohanec, Els Clays, Paolo Emilio Puddu, Carlos Cavero Barca, Miha Mlakar, Jan Derboven, Flavia Marino, Jakob Valič, Gennaro Tartarisco, Juan Mario Rodríguez, Giovanni Pioggia, Amos Adeyemo Dawodu, Jure Lampe, Gašper Slapničar, Michele Schiariti, Maria Costanza Ciancarelli, Delphine De Smedt
Publikováno v: JMIR. Journal of medical internet research 9 (2021): e24501. doi:10.2196/24501
info:cnr-pdr/source/autori:Mitja Lustrek; Marko Bohanec; Carlos Cavero Barca; Maria Costanza Ciancarelli; Els Clays; Amos Adeyemo Dawodu; Jan Derboven; Delphine De Smedt; Erik Dovgan; Jure Lampe; Flavia Marino; Miha Mlakar; Giovanni Pioggia; Paolo Emilio Puddu; Juan Mario Rodríguez; Michele Schiariti; Gasper Slapnikar; Karin Slegers; Gennaro Tartarisco; Jakob Valic; Aljosa Vodopija/titolo:A Personal Health System for Self-Management of Congestive Heart Failure (HeartMan): Development, Technical Evaluation, and Proof-of-Concept Randomized Controlled Trial/doi:10.2196%2F24501/rivista:JMIR. Journal of medical internet research/anno:2021/pagina_da:e24501/pagina_a:/intervallo_pagine:e24501/volume:9
JMIR MEDICAL INFORMATICS
JMIR Medical Informatics, 9(3):e24501. JMIR PUBLICATIONS, INC
JMIR Medical Informatics, Vol 9, Iss 3, p e24501 (2021)
JMIR Medical Informatics
BackgroundCongestive heart failure (CHF) is a disease that requires complex management involving multiple medications, exercise, and lifestyle changes. It mainly affects older patients with depression and anxiety, who commonly find management difficu
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bd40b847ff1026eb5f1af9e6c4b5868f
https://doi.org/10.2196/24501
Zobrazit plný text záznamu
9
Machine Learning Prediction Models for Chronic Kidney Disease using National Health Insurance Claim Data in Taiwan
Autor: Surya Krishnamurthy, Mitja Luštrek, Kathiravan Srinivasan, Erik Dovgan, Barbara Gradišek Piletič, Shabbir Syed-Abdul, Yu-Chuan Jack Li, Anton Gradišek, Kapeleshh Ks
Publikováno v: Healthcare, Vol 9, Iss 546, p 546 (2021)
Healthcare
Volume 9
Issue 5
Background and ObjectiveChronic kidney disease (CKD) represent a heavy burden on the healthcare system because of the increasing number of patients, high risk of progression to end-stage renal disease, and poor prognosis of morbidity and mortality. T
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7db608b6a41fde658f7cb90d35231658
https://doi.org/10.1101/2020.06.25.20139147
Zobrazit plný text záznamu
10
Artificial Intelligence based Models for Screening of Hematologic Malignancies using Cell Population Data
Autor: Anton Gradišek, Erik Dovgan, Hee Jung Chung, Hyung Woo Kim, Mina Hur, Shabbir Syed-Abdul, Mohy Uddin, Rianda Putra Firdani, Jaehyeon Park
Publikováno v: Scientific Reports, Vol 10, Iss 1, Pp 1-8 (2020)
Scientific Reports
Cell Population Data (CPD) provides various blood cell parameters that can be used for differential diagnosis. Data analytics using Machine Learning (ML) have been playing a pivotal role in revolutionizing medical diagnostics. This research presents
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e4f2aab19bca5dbe03ada4f1e9103f84
https://doi.org/10.1038/s41598-020-61247-0
Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání

Omezení vyhledávání
Plný text Recenzováno Digitální knihovna AV ČR
Zdroje