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Extracting new temporal features to improve the interpretability of undiagnosed type 2 diabetes mellitus prediction models [Elektronski vir]Kocbek, Simon ...Source: Journal of personalized medicine [Elektronski vir]. - ISSN 2075-4426 (Vol. 12, iss. 3, 2022, 10 str.)Type of material - e-article ; adult, seriousPublish date - 2022Language - englishCOBISS.SI-ID - 101430019
Digital content: dCOBISS
| Author | Kocbek, Simon ... |
| Title | Extracting new temporal features to improve the interpretability of undiagnosed type 2 diabetes mellitus prediction models [Elektronski vir] |
| Publication date | 2022-02-28 |
| COBISS.SI-ID | 101430019 |
| Publication version in repository | Publisher's version |
| Publication licence | Creative Commons Attribution 4.0 International |
| Embargo | Immediate publication for public |
Project(s) from which the publication was funded
| Title | Acronym | Project ID | Funder |
|---|---|---|---|
| Izboljšanje razumljivosti in napovedane zmogljivosti modelov za oceno tveganja in podporo odločanju v kliničnem okolju | N2-0101-2019 |
Javna agencija za znanstvenoraziskovalno in inovacijsko dejavnost Republike Slovenije |
Files that belong to the publication
| Link |
|---|
https://d.cobiss.net/repository/si/files/101430019/135723/Extracting-new-temporal-features-to-improve-the-interpretabi.pdf
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Costs of publication
| Cost type | Total cost | Payments |
|---|---|---|
| APC – Article Processing Charge | 1460.78 € |
