Extracting New Temporal Features to Improve the Interpretability of Undiagnosed Type 2 Diabetes Mellitus Prediction Models
Simon Kocbek, Primož Kocbek, Lucija Gosak, Nino Fijačko et autres
8 citationsJournal of Personalized Medicine
Simon Kocbek
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39Publications signalées
357Citations signalées
1Affiliations récentes
Institutions déclarées
Domaines associés
Biomedical Text Mining and OntologiesBioinformatics and Genomic NetworksSemantic Web and OntologiesMachine Learning in HealthcareGene expression and cancer classification
Publications récentes
Data-driven approach for tailoring facilitation strategies to overcome implementation barriers in community pharmacy
Lydia Moussa, Shalom I. Benrimoj, Katarzyna Musiał, Simon Kocbek et autres
33 citationsImplementation Science
Additional file 2 of Data-driven approach for tailoring facilitation strategies to overcome implementation barriers in community pharmacy
Lydia Moussa, Shalom I. Benrimoj, Katarzyna Musiał, Simon Kocbek et autres
0 citationsFigshare
Data-Driven Approach for Tailoring Facilitation Strategies to Overcome Implementation Barriers in Community Pharmacy
Lydia Moussa, Shalom I. Benrimoj, Katarzyna Musiał, Simon Kocbek et autres
4 citationsResearch Square
Peer Review Report For: BioHackathon series in 2013 and 2014: improvements of semantic interoperability in life science data and services [version 1; peer review: 2 approved with reservations]
Toshiaki Katayama, Shuichi Kawashima, Gos Micklem, Shin Kawano et autres
0 citations
Local Interpretability of Calibrated Prediction Models: A Case of Type 2 Diabetes Mellitus Screening Test
Simon Kocbek, Primož Kocbek, Leona Cilar, Gregor Štiglic
1 citationarXiv (Cornell University)
Local Interpretability of Calibrated Prediction Models: A Case of Type 2\n Diabetes Mellitus Screening Test
Simon Kocbek, Primož Kocbek, Leona Cilar, Gregor Štiglic
0 citationsarXiv (Cornell University)
Peer Review Report For: BioHackathon series in 2013 and 2014: improvements of semantic interoperability in life science data and services [version 1; peer review: 2 approved with reservations]
Toshiaki Katayama, Shuichi Kawashima, Gos Micklem, Shin Kawano et autres
0 citations
Automated Machine Learning Techniques in Prognostics of Railway Track Defects
18 citations
BioHackathon series in 2013 and 2014: improvements of semantic interoperability in life science data and services
Toshiaki Katayama, Shuichi Kawashima, Gos Micklem, Shin Kawano et autres
1 citationF1000Research
Using (Automated) Machine Learning and Drug Prescription Records to Predict Mortality and Polypharmacy in Older Type 2 Diabetes Mellitus Patients
Simon Kocbek, Primož Kocbek, Tina Zupanič, Gregor Štiglic et autres
2 citationsCommunications in computer and information science
Building interpretable models for polypharmacy prediction in older chronic patients based on drug prescription records
Simon Kocbek, Primož Kocbek, Andraž Stožer, Tina Zupanič et autres
14 citationsPeerJ
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