001 | 291426 | ||
005 | 20241110013642.0 | ||
024 | 7 | _ | |a 10.3390/make6020061 |2 doi |
024 | 7 | _ | |a altmetric:166781873 |2 altmetric |
037 | _ | _ | |a DKFZ-2024-01400 |
082 | _ | _ | |a 004 |
100 | 1 | _ | |a Welchowski, Thomas |0 0000-0003-2940-647X |b 0 |
245 | _ | _ | |a Interaction Difference Hypothesis Test for Prediction Models |
260 | _ | _ | |a Basel |c 2024 |b MDPI |
336 | 7 | _ | |a article |2 DRIVER |
336 | 7 | _ | |a Output Types/Journal article |2 DataCite |
336 | 7 | _ | |a Journal Article |b journal |m journal |0 PUB:(DE-HGF)16 |s 1719834711_5815 |2 PUB:(DE-HGF) |
336 | 7 | _ | |a ARTICLE |2 BibTeX |
336 | 7 | _ | |a JOURNAL_ARTICLE |2 ORCID |
336 | 7 | _ | |a Journal Article |0 0 |2 EndNote |
500 | _ | _ | |a #LA:C060# |
536 | _ | _ | |a 313 - Krebsrisikofaktoren und Prävention (POF4-313) |0 G:(DE-HGF)POF4-313 |c POF4-313 |f POF IV |x 0 |
588 | _ | _ | |a Dataset connected to CrossRef, Journals: inrepo02.dkfz.de |
700 | 1 | _ | |a Edelmann, Dominic |0 P:(DE-He78)92820b4867c955a04f642707ecf35b40 |b 1 |e Last author |u dkfz |
773 | _ | _ | |a 10.3390/make6020061 |g Vol. 6, no. 2, p. 1298 - 1322 |0 PERI:(DE-600)2934680-0 |n 2 |p 1298 - 1322 |t Machine learning and knowledge extraction |v 6 |y 2024 |x 2504-4990 |
856 | 4 | _ | |u https://inrepo02.dkfz.de/record/291426/files/make-06-00061-v2.pdf |
856 | 4 | _ | |u https://inrepo02.dkfz.de/record/291426/files/make-06-00061-v2.pdf?subformat=pdfa |x pdfa |
909 | C | O | |o oai:inrepo02.dkfz.de:291426 |p VDB |
910 | 1 | _ | |a Deutsches Krebsforschungszentrum |0 I:(DE-588b)2036810-0 |k DKFZ |b 1 |6 P:(DE-He78)92820b4867c955a04f642707ecf35b40 |
913 | 1 | _ | |a DE-HGF |b Gesundheit |l Krebsforschung |1 G:(DE-HGF)POF4-310 |0 G:(DE-HGF)POF4-313 |3 G:(DE-HGF)POF4 |2 G:(DE-HGF)POF4-300 |4 G:(DE-HGF)POF |v Krebsrisikofaktoren und Prävention |x 0 |
914 | 1 | _ | |y 2024 |
915 | _ | _ | |a JCR |0 StatID:(DE-HGF)0100 |2 StatID |b MACH LEARN KNOW EXTR : 2022 |d 2023-10-27 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0200 |2 StatID |b SCOPUS |d 2023-10-27 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0501 |2 StatID |b DOAJ Seal |d 2023-04-12T15:01:10Z |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0500 |2 StatID |b DOAJ |d 2023-04-12T15:01:10Z |
915 | _ | _ | |a Peer Review |0 StatID:(DE-HGF)0030 |2 StatID |b DOAJ : Anonymous peer review |d 2023-04-12T15:01:10Z |
915 | _ | _ | |a Creative Commons Attribution CC BY (No Version) |0 LIC:(DE-HGF)CCBYNV |2 V:(DE-HGF) |b DOAJ |d 2023-04-12T15:01:10Z |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0199 |2 StatID |b Clarivate Analytics Master Journal List |d 2023-10-27 |
915 | _ | _ | |a WoS |0 StatID:(DE-HGF)0112 |2 StatID |b Emerging Sources Citation Index |d 2023-10-27 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0150 |2 StatID |b Web of Science Core Collection |d 2023-10-27 |
915 | _ | _ | |a IF < 5 |0 StatID:(DE-HGF)9900 |2 StatID |d 2023-10-27 |
915 | _ | _ | |a Article Processing Charges |0 StatID:(DE-HGF)0561 |2 StatID |d 2023-10-27 |
915 | _ | _ | |a Fees |0 StatID:(DE-HGF)0700 |2 StatID |d 2023-10-27 |
920 | 2 | _ | |0 I:(DE-He78)C060-20160331 |k C060 |l C060 Biostatistik |x 0 |
920 | 1 | _ | |0 I:(DE-He78)C060-20160331 |k C060 |l C060 Biostatistik |x 0 |
980 | _ | _ | |a journal |
980 | _ | _ | |a VDB |
980 | _ | _ | |a I:(DE-He78)C060-20160331 |
980 | _ | _ | |a UNRESTRICTED |
Library | Collection | CLSMajor | CLSMinor | Language | Author |
---|