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Erik Dovgan

Showing results (1-10 of 9) with videos related to

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Heliyon|October 16, 2023
A machine-learning approach to a mobility policy proposalMiljana Shulajkovska, Maj Smerkol, Erik Dovgan, et al.
Computer Methods and Programs in Biomedicine|February 26, 2023
Artificial intelligence based personalized predictive survival among colorectal cancer patientsDavid Susič, Shabbir Syed-Abdul, Erik Dovgan, et al.
Healthcare (Basel, Switzerland)|February 25, 2022
Similarities and Differences between EU Platforms in the AHA and AAL Domains from a Software ViewpointMatjaž Gams, Žiga Kolar, Zdenko Vuk, et al.
International Journal of Environmental Research and Public Health|July 2, 2021
Machine Learning for Analyzing Non-Countermeasure Factors Affecting Early Spread of COVID-19Vito Janko, Gašper Slapničar, Erik Dovgan, et al.
Plos One|June 6, 2020
Using machine learning models to predict the initiation of renal replacement therapy among chronic kidney disease patientsErik Dovgan, Anton Gradišek, Mitja Luštrek, et al.
Healthcare (Basel, Switzerland)|June 2, 2021
Machine Learning Prediction Models for Chronic Kidney Disease Using National Health Insurance Claim Data in TaiwanSurya Krishnamurthy, Kapeleshh Ks, Erik Dovgan, et al.
Scientific Reports|March 18, 2020
Artificial Intelligence based Models for Screening of Hematologic Malignancies using Cell Population DataShabbir Syed-Abdul, Rianda-Putra Firdani, Hee-Jung Chung, et al.
Scientific Reports|June 24, 2020
Author Correction: Artificial Intelligence based Models for Screening of Hematologic Malignancies using Cell Population DataShabbir Syed-Abdul, Rianda-Putra Firdani, Hee-Jung Chung, et al.
JMIR Medical Informatics|March 5, 2021
A Personal Health System for Self-Management of Congestive Heart Failure (HeartMan): Development, Technical Evaluation, and Proof-of-Concept Randomized Controlled TrialMitja Luštrek, Marko Bohanec, Carlos Cavero Barca, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Heliyon|October 16, 2023
A machine-learning approach to a mobility policy proposalMiljana Shulajkovska, Maj Smerkol, Erik Dovgan, et al.
Computer Methods and Programs in Biomedicine|February 26, 2023
Artificial intelligence based personalized predictive survival among colorectal cancer patientsDavid Susič, Shabbir Syed-Abdul, Erik Dovgan, et al.
Healthcare (Basel, Switzerland)|February 25, 2022
Similarities and Differences between EU Platforms in the AHA and AAL Domains from a Software ViewpointMatjaž Gams, Žiga Kolar, Zdenko Vuk, et al.
International Journal of Environmental Research and Public Health|July 2, 2021
Machine Learning for Analyzing Non-Countermeasure Factors Affecting Early Spread of COVID-19Vito Janko, Gašper Slapničar, Erik Dovgan, et al.
Plos One|June 6, 2020
Using machine learning models to predict the initiation of renal replacement therapy among chronic kidney disease patientsErik Dovgan, Anton Gradišek, Mitja Luštrek, et al.
Healthcare (Basel, Switzerland)|June 2, 2021
Machine Learning Prediction Models for Chronic Kidney Disease Using National Health Insurance Claim Data in TaiwanSurya Krishnamurthy, Kapeleshh Ks, Erik Dovgan, et al.
Scientific Reports|March 18, 2020
Artificial Intelligence based Models for Screening of Hematologic Malignancies using Cell Population DataShabbir Syed-Abdul, Rianda-Putra Firdani, Hee-Jung Chung, et al.
Scientific Reports|June 24, 2020
Author Correction: Artificial Intelligence based Models for Screening of Hematologic Malignancies using Cell Population DataShabbir Syed-Abdul, Rianda-Putra Firdani, Hee-Jung Chung, et al.
JMIR Medical Informatics|March 5, 2021
A Personal Health System for Self-Management of Congestive Heart Failure (HeartMan): Development, Technical Evaluation, and Proof-of-Concept Randomized Controlled TrialMitja Luštrek, Marko Bohanec, Carlos Cavero Barca, et al.
Pageof 1