Machine learning for tumor growth inhibition: Interpretable predictive models for transparency and reproducibility
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-03-01
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| Series: | CPT: Pharmacometrics & Systems Pharmacology |
| Online Access: | https://doi.org/10.1002/psp4.12761 |
| _version_ | 1818285412520558592 |
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| author | Andreas D. Meid Alexander Gerharz Andreas Groll |
| author_facet | Andreas D. Meid Alexander Gerharz Andreas Groll |
| author_sort | Andreas D. Meid |
| collection | DOAJ |
| first_indexed | 2024-12-13T01:08:17Z |
| format | Article |
| id | doaj.art-179c3bd0ad9a4fec941d1ea3d11fd5a7 |
| institution | Directory Open Access Journal |
| issn | 2163-8306 |
| language | English |
| last_indexed | 2024-12-13T01:08:17Z |
| publishDate | 2022-03-01 |
| publisher | Wiley |
| record_format | Article |
| series | CPT: Pharmacometrics & Systems Pharmacology |
| spelling | doaj.art-179c3bd0ad9a4fec941d1ea3d11fd5a72022-12-22T00:04:31ZengWileyCPT: Pharmacometrics & Systems Pharmacology2163-83062022-03-0111325726110.1002/psp4.12761Machine learning for tumor growth inhibition: Interpretable predictive models for transparency and reproducibilityAndreas D. Meid0Alexander Gerharz1Andreas Groll2Department of Clinical Pharmacology and Pharmacoepidemiology University of Heidelberg Heidelberg GermanyDepartment of Statistics TU Dortmund University Dortmund GermanyDepartment of Statistics TU Dortmund University Dortmund Germanyhttps://doi.org/10.1002/psp4.12761 |
| spellingShingle | Andreas D. Meid Alexander Gerharz Andreas Groll Machine learning for tumor growth inhibition: Interpretable predictive models for transparency and reproducibility CPT: Pharmacometrics & Systems Pharmacology |
| title | Machine learning for tumor growth inhibition: Interpretable predictive models for transparency and reproducibility |
| title_full | Machine learning for tumor growth inhibition: Interpretable predictive models for transparency and reproducibility |
| title_fullStr | Machine learning for tumor growth inhibition: Interpretable predictive models for transparency and reproducibility |
| title_full_unstemmed | Machine learning for tumor growth inhibition: Interpretable predictive models for transparency and reproducibility |
| title_short | Machine learning for tumor growth inhibition: Interpretable predictive models for transparency and reproducibility |
| title_sort | machine learning for tumor growth inhibition interpretable predictive models for transparency and reproducibility |
| url | https://doi.org/10.1002/psp4.12761 |
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