Towards interpretability and reproducibility of machine learning applications in clinical research: assessment of the physiological network in sleep apnea
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Abschlussarbeit Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Berlin
2020
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Beschreibung: | 1 Online-Ressource (83 Blätter) Illustrationen, Diagramme |
Internformat
MARC
| LEADER | 00000nmm a2200000 c 4500 | ||
|---|---|---|---|
| 001 | BV047104433 | ||
| 003 | DE-604 | ||
| 005 | 00000000000000.0 | ||
| 006 | a m||| 00||| | ||
| 007 | cr|uuu---uuuuu | ||
| 008 | 210125s2020 |||| o||u| ||||||eng d | ||
| 024 | 7 | |a urn:nbn:de:kobv:188-refubium-28012-7 |2 urn | |
| 035 | |a (OCoLC)1232510262 | ||
| 035 | |a (DE-599)BVBBV047104433 | ||
| 040 | |a DE-604 |b ger |e rda | ||
| 041 | 0 | |a eng | |
| 049 | |a DE-578 | ||
| 084 | |a 610 |2 FUB | ||
| 100 | 1 | |a Jansen, Christoph |e Verfasser |0 (DE-588)1225705657 |4 aut | |
| 245 | 1 | 0 | |a Towards interpretability and reproducibility of machine learning applications in clinical research |b assessment of the physiological network in sleep apnea |c vorgelegt von Christoph Jansen |
| 264 | 1 | |a Berlin |c 2020 | |
| 300 | |a 1 Online-Ressource (83 Blätter) |b Illustrationen, Diagramme | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b c |2 rdamedia | ||
| 338 | |b cr |2 rdacarrier | ||
| 502 | |b Dissertation |c Charité - Universitätsmedizin Berlin |d 2020 | ||
| 505 | 8 | |a enthält außerdem 3 Sonderabdr. aus verschiedenen Zeitschriften | |
| 650 | 4 | |a interpretability | |
| 650 | 4 | |a reproducibility | |
| 650 | 4 | |a machine learning | |
| 650 | 4 | |a artificial neural networks | |
| 650 | 4 | |a physiological networks | |
| 650 | 4 | |a sleep apnea | |
| 655 | 7 | |0 (DE-588)4113937-9 |a Hochschulschrift |2 gnd-content | |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |w (DE-604)BV047104435 |
| 856 | 4 | 0 | |u https://refubium.fu-berlin.de/handle/fub188/28012 |x Resolving-System |z kostenfrei |3 Volltext |
| 912 | |a ebook | ||
| 999 | |a oai:aleph.bib-bvb.de:BVB01-032510735 | ||
Datensatz im Suchindex
| _version_ | 1804182133599633408 |
|---|---|
| adam_txt | |
| any_adam_object | |
| any_adam_object_boolean | |
| author | Jansen, Christoph |
| author_GND | (DE-588)1225705657 |
| author_facet | Jansen, Christoph |
| author_role | aut |
| author_sort | Jansen, Christoph |
| author_variant | c j cj |
| building | Verbundindex |
| bvnumber | BV047104433 |
| collection | ebook |
| contents | enthält außerdem 3 Sonderabdr. aus verschiedenen Zeitschriften |
| ctrlnum | (OCoLC)1232510262 (DE-599)BVBBV047104433 |
| format | Thesis Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01591nmm a2200421 c 4500</leader><controlfield tag="001">BV047104433</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">00000000000000.0</controlfield><controlfield tag="006">a m||| 00||| </controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">210125s2020 |||| o||u| ||||||eng d</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">urn:nbn:de:kobv:188-refubium-28012-7</subfield><subfield code="2">urn</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1232510262</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV047104433</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-578</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">610</subfield><subfield code="2">FUB</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Jansen, Christoph</subfield><subfield code="e">Verfasser</subfield><subfield code="0">(DE-588)1225705657</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Towards interpretability and reproducibility of machine learning applications in clinical research</subfield><subfield code="b">assessment of the physiological network in sleep apnea</subfield><subfield code="c">vorgelegt von Christoph Jansen</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Berlin</subfield><subfield code="c">2020</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (83 Blätter)</subfield><subfield code="b">Illustrationen, Diagramme</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="502" ind1=" " ind2=" "><subfield code="b">Dissertation</subfield><subfield code="c">Charité - Universitätsmedizin Berlin</subfield><subfield code="d">2020</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">enthält außerdem 3 Sonderabdr. aus verschiedenen Zeitschriften</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">interpretability</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">reproducibility</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">machine learning</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">artificial neural networks</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">physiological networks</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">sleep apnea</subfield></datafield><datafield tag="655" ind1=" " ind2="7"><subfield code="0">(DE-588)4113937-9</subfield><subfield code="a">Hochschulschrift</subfield><subfield code="2">gnd-content</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="w">(DE-604)BV047104435</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://refubium.fu-berlin.de/handle/fub188/28012</subfield><subfield code="x">Resolving-System</subfield><subfield code="z">kostenfrei</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ebook</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-032510735</subfield></datafield></record></collection> |
| genre | (DE-588)4113937-9 Hochschulschrift gnd-content |
| genre_facet | Hochschulschrift |
| id | DE-604.BV047104433 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T16:24:05Z |
| indexdate | 2024-07-10T09:02:42Z |
| institution | BVB |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032510735 |
| oclc_num | 1232510262 |
| open_access_boolean | 1 |
| owner | DE-578 |
| owner_facet | DE-578 |
| physical | 1 Online-Ressource (83 Blätter) Illustrationen, Diagramme |
| psigel | ebook |
| publishDate | 2020 |
| publishDateSearch | 2020 |
| publishDateSort | 2020 |
| record_format | marc |
| 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 1 Online-Ressource (83 Blätter) Illustrationen, Diagramme txt rdacontent c rdamedia cr 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 Druck-Ausgabe (DE-604)BV047104435 https://refubium.fu-berlin.de/handle/fub188/28012 Resolving-System kostenfrei Volltext |
| 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 |
| url | https://refubium.fu-berlin.de/handle/fub188/28012 |
| work_keys_str_mv | AT jansenchristoph towardsinterpretabilityandreproducibilityofmachinelearningapplicationsinclinicalresearchassessmentofthephysiologicalnetworkinsleepapnea |