Advanced Machine Learning Approaches in Cancer Prognosis: Challenges and Applications
Gespeichert in:
Weitere Verfasser: | , , , , |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Cham
Springer International Publishing
2021
Cham Springer |
Ausgabe: | 1st ed. 2021 |
Schriftenreihe: | Intelligent Systems Reference Library
204 |
Schlagworte: | |
Online-Zugang: | BFB01 BTU01 FAB01 FAW01 FFW01 FHA01 FHD01 FHI01 FHM01 FHN01 FHR01 FLA01 FWS01 FWS02 HTW01 TUM01 UBT01 UBY01 UER01 UPA01 Volltext |
Beschreibung: | 1 Online-Ressource (XX, 454 p. 236 illus., 168 illus. in color) |
ISBN: | 9783030719753 |
ISSN: | 1868-4394 |
DOI: | 10.1007/978-3-030-71975-3 |
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edition | 1st ed. 2021 |
format | Electronic eBook |
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id | DE-604.BV047316349 |
illustrated | Not Illustrated |
index_date | 2024-07-03T17:27:43Z |
indexdate | 2024-08-01T16:13:43Z |
institution | BVB |
isbn | 9783030719753 |
issn | 1868-4394 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032719187 |
oclc_num | 1256410454 |
open_access_boolean | |
owner | DE-1028 DE-860 DE-91 DE-BY-TUM DE-1046 DE-1043 DE-Aug4 DE-898 DE-BY-UBR DE-523 DE-29 DE-863 DE-BY-FWS DE-1050 DE-862 DE-BY-FWS DE-92 DE-522 DE-573 DE-M347 DE-703 DE-706 DE-739 DE-634 |
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physical | 1 Online-Ressource (XX, 454 p. 236 illus., 168 illus. in color) |
psigel | ZDB-2-INR ZDB-2-INR_2021_Fremddaten |
publishDate | 2021 |
publishDateSearch | 2021 |
publishDateSort | 2021 |
publisher | Springer International Publishing Springer |
record_format | marc |
series2 | Intelligent Systems Reference Library |
spellingShingle | Advanced Machine Learning Approaches in Cancer Prognosis Challenges and Applications Computational Intelligence Biomedicine, general Machine Learning Computational intelligence Medicine Machine learning |
title | Advanced Machine Learning Approaches in Cancer Prognosis Challenges and Applications |
title_auth | Advanced Machine Learning Approaches in Cancer Prognosis Challenges and Applications |
title_exact_search | Advanced Machine Learning Approaches in Cancer Prognosis Challenges and Applications |
title_exact_search_txtP | Advanced Machine Learning Approaches in Cancer Prognosis Challenges and Applications |
title_full | Advanced Machine Learning Approaches in Cancer Prognosis Challenges and Applications edited by Janmenjoy Nayak, Margarita N. Favorskaya, Seema Jain, Bighnaraj Naik, Manohar Mishra |
title_fullStr | Advanced Machine Learning Approaches in Cancer Prognosis Challenges and Applications edited by Janmenjoy Nayak, Margarita N. Favorskaya, Seema Jain, Bighnaraj Naik, Manohar Mishra |
title_full_unstemmed | Advanced Machine Learning Approaches in Cancer Prognosis Challenges and Applications edited by Janmenjoy Nayak, Margarita N. Favorskaya, Seema Jain, Bighnaraj Naik, Manohar Mishra |
title_short | Advanced Machine Learning Approaches in Cancer Prognosis |
title_sort | advanced machine learning approaches in cancer prognosis challenges and applications |
title_sub | Challenges and Applications |
topic | Computational Intelligence Biomedicine, general Machine Learning Computational intelligence Medicine Machine learning |
topic_facet | Computational Intelligence Biomedicine, general Machine Learning Computational intelligence Medicine Machine learning |
url | https://doi.org/10.1007/978-3-030-71975-3 |
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