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_aMachine Learning for Multimodal Healthcare Data _h[electronic resource] : _bFirst International Workshop, ML4MHD 2023, Honolulu, Hawaii, USA, July 29, 2023, Proceedings / _cedited by Andreas K. Maier, Julia A. Schnabel, Pallavi Tiwari, Oliver Stegle. |
| 250 | _a1st ed. 2024. | ||
| 264 | 1 |
_aCham : _bSpringer Nature Switzerland : _bImprint: Springer, _c2024. |
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_aX, 190 p. 44 illus., 38 illus. in color. _bonline resource. |
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_aLecture Notes in Computer Science, _x1611-3349 ; _v14315 |
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| 520 | _aThis book constitutes the proceedings of the First International Workshop on Machine Learning for Multimodal Healthcare Date, ML4MHD 2023, held in Honolulu, Hawaii, USA, in July 2023. The 18 full papers presented were carefully reviewed and selected from 30 submissions. The workshop's primary objective was to bring together experts from diverse fields such as medicine, pathology, biology, and machine learning. With the aim to present novel methods and solutions that address healthcare challenges, especially those that arise from the complexity and heterogeneity of patient data. | ||
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_aMedical informatics. _94729 |
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_aHealth Informatics. _931799 |
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_aMaier, Andreas K. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _994115 |
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_aSchnabel, Julia A. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _994116 |
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_aTiwari, Pallavi. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _994117 |
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_aStegle, Oliver. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _994119 |
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