| 000 | 03498nam a22005775i 4500 | ||
|---|---|---|---|
| 001 | 978-3-030-45240-7 | ||
| 003 | DE-He213 | ||
| 005 | 20240423125357.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 210125s2021 sz | s |||| 0|eng d | ||
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| 024 | 7 |
_a10.1007/978-3-030-45240-7 _2doi |
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| 050 | 4 | _aQ334-342 | |
| 050 | 4 | _aTA347.A78 | |
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| 245 | 1 | 0 |
_aArtificial Intelligence and Data Mining in Healthcare _h[electronic resource] / _cedited by Malek Masmoudi, Bassem Jarboui, Patrick Siarry. |
| 250 | _a1st ed. 2021. | ||
| 264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2021. |
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| 300 |
_aXIX, 195 p. 62 illus., 39 illus. in color. _bonline resource. |
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| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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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 | _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. | ||
| 650 | 0 | _aArtificial intelligence. | |
| 650 | 0 | _aComputational intelligence. | |
| 650 | 0 | _aHealth services administration. | |
| 650 | 0 | _aMedical informatics. | |
| 650 | 1 | 4 | _aArtificial Intelligence. |
| 650 | 2 | 4 | _aComputational Intelligence. |
| 650 | 2 | 4 | _aHealth Care Management. |
| 650 | 2 | 4 | _aHealth Informatics. |
| 700 | 1 |
_aMasmoudi, Malek. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
| 700 | 1 |
_aJarboui, Bassem. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
| 700 | 1 |
_aSiarry, Patrick. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
| 710 | 2 | _aSpringerLink (Online service) | |
| 773 | 0 | _tSpringer Nature eBook | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783030452391 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783030452414 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783030452421 |
| 856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-030-45240-7 |
| 912 | _aZDB-2-SCS | ||
| 912 | _aZDB-2-SXCS | ||
| 942 | _cSPRINGER | ||
| 999 |
_c177283 _d177283 |
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