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| 001 | 334789 | ||
| 003 | ES-MaUEC | ||
| 005 | 20230102114747.0 | ||
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| 007 | cr nn nnnaamaa | ||
| 008 | 210125s2021 gw a o |||| 0|eng d | ||
| 020 | _a9783030452407 | ||
| 024 | 7 |
_a10.1007/978-3-030-45240-7 _2doi |
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| 040 |
_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC |
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| 050 | 4 |
_aR859.7.A78 _b2021 EB |
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| 245 | 0 | 0 |
_aArtificial intelligence and data mining in healthcare : _cedited by Malek Masmoudi, Bassem Jarboui, Patrick Siarry |
| 250 | _aFirst edition 2021 | ||
| 264 | 1 |
_aCham, Switzerland _bSpringer International Publising _c2021 |
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| 300 |
_a1 recurso en línea (XIX, 195 páginas) _b62 ilustraciones, 39 ilustraciones a color |
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| 336 |
_2rdacontent _aTexto _btxt |
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| 337 |
_2rdamedia _aelectrónico _bc |
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| 338 |
_2rdacarrier _arecurso electrónico _bcr |
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| 347 |
_atext file _bPDF _2rda |
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| 505 | 0 | _aArtificial Intelligence for Healthcare Logistics: An Overview and Research Agenda -- Synergy Between Predictive Mining and Prescriptive Planning of Complex Patient Pathways Considering Process Discrepancies for Effective Hospital-Wide Decision Support -- Real-Time Capacity Management and Patient Flow Optimization in Hospitals Using AI Methods -- How Healthcare Expenditure Influences Life Expectancy: Case Study on Russian Regions -- Operating Theater Management System: Block-Scheduling -- An Immune Memory and a Negative Selection to Visualize Clinical Pathways from Electronic Health Records -- Optimized Medical Images Compression for Telemedicine Applications -- Online Variational Learning Using Finite Generalized Inverted Dirichlet Mixture Model with Feature Selection on Medical Data Sets -- Entropy-Based Variational Inference for Semi-bounded Data Clustering in Medical Applications. | |
| 520 | 3 | _aThis book presents recent work on healthcare management and engineering using artificial intelligence and data mining techniques. Specific topics covered in the contributed chapters include predictive mining, decision support, capacity management, patient flow optimization, image compression, data clustering, and feature selection. The content will be valuable for researchers and postgraduate students in computer science, information technology, industrial engineering, and applied mathematics. | |
| 988 | _aSpringer_Computer_2021 | ||
| 650 | 7 |
_2embne _9421371 _aInteligencia artificial en medicina |
|
| 650 | 7 |
_2embne _aInformática médica _9421154 |
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| 650 | 7 |
_2embne _aData mining _9162648 |
|
| 700 | 1 |
_aMasmoudi, Malek _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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| 700 | 1 |
_aJarboui, Bassem _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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| 700 | 1 |
_aSiarry, Patrick _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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| 710 | 2 | _aSpringerLink | |
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-45240-7 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 942 |
_2lcc _cLE |
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| 998 |
_b05/2021 _dz _eb _zSI |
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