Towards interpretability and reproducibility of machine learning applications in clinical research: assessment of the physiological network in sleep apnea
Gespeichert in:
| 1. Verfasser: | |
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| Format: | Abschlussarbeit Buch |
| Sprache: | English |
| Veröffentlicht: |
Berlin
2020
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| Schlagworte: | |
| Beschreibung: | 83 Blätter Illustrationen, Diagramme |
Internformat
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Datensatz im Suchindex
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| spelling | Jansen, Christoph Verfasser (DE-588)1225705657 aut Towards interpretability and reproducibility of machine learning applications in clinical research assessment of the physiological network in sleep apnea vorgelegt von Christoph Jansen Berlin 2020 83 Blätter Illustrationen, Diagramme txt rdacontent n rdamedia nc rdacarrier Dissertation Charité - Universitätsmedizin Berlin 2020 enthält außerdem 3 Sonderabdr. aus verschiedenen Zeitschriften interpretability reproducibility machine learning artificial neural networks physiological networks sleep apnea (DE-588)4113937-9 Hochschulschrift gnd-content Erscheint auch als Online-Ausgabe (DE-604)BV047104433 |
| spellingShingle | Jansen, Christoph Towards interpretability and reproducibility of machine learning applications in clinical research assessment of the physiological network in sleep apnea enthält außerdem 3 Sonderabdr. aus verschiedenen Zeitschriften interpretability reproducibility machine learning artificial neural networks physiological networks sleep apnea |
| subject_GND | (DE-588)4113937-9 |
| title | Towards interpretability and reproducibility of machine learning applications in clinical research assessment of the physiological network in sleep apnea |
| title_auth | Towards interpretability and reproducibility of machine learning applications in clinical research assessment of the physiological network in sleep apnea |
| title_exact_search | Towards interpretability and reproducibility of machine learning applications in clinical research assessment of the physiological network in sleep apnea |
| title_exact_search_txtP | Towards interpretability and reproducibility of machine learning applications in clinical research assessment of the physiological network in sleep apnea |
| title_full | Towards interpretability and reproducibility of machine learning applications in clinical research assessment of the physiological network in sleep apnea vorgelegt von Christoph Jansen |
| title_fullStr | Towards interpretability and reproducibility of machine learning applications in clinical research assessment of the physiological network in sleep apnea vorgelegt von Christoph Jansen |
| title_full_unstemmed | Towards interpretability and reproducibility of machine learning applications in clinical research assessment of the physiological network in sleep apnea vorgelegt von Christoph Jansen |
| title_short | Towards interpretability and reproducibility of machine learning applications in clinical research |
| title_sort | towards interpretability and reproducibility of machine learning applications in clinical research assessment of the physiological network in sleep apnea |
| title_sub | assessment of the physiological network in sleep apnea |
| topic | interpretability reproducibility machine learning artificial neural networks physiological networks sleep apnea |
| topic_facet | interpretability reproducibility machine learning artificial neural networks physiological networks sleep apnea Hochschulschrift |
| work_keys_str_mv | AT jansenchristoph towardsinterpretabilityandreproducibilityofmachinelearningapplicationsinclinicalresearchassessmentofthephysiologicalnetworkinsleepapnea |