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_c394377 _d394377 |
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| 003 | ES-MaUEC | ||
| 005 | 20230102123125.0 | ||
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| 007 | cr nn 008mamaa | ||
| 008 | 221109s2022 sz | s |||| 0|eng d | ||
| 020 | _a9783031085062 | ||
| 024 | 7 |
_a10.1007/978-3-031-08506-2 _2doi |
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| 040 |
_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC |
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| 050 | 4 |
_aR858 _b2022 EB |
|
| 245 | 0 | 0 |
_aArtificial Intelligence in Covid-19 _cedited by Niklas Lidströmer, Yonina C Eldar |
| 250 | _a1st edition 2022 | ||
| 264 | 1 |
_aCham _bSpringer International Publishing, _c2022 |
|
| 300 |
_a1 recurso en línea (XII, 340 páginas) _b65 ilustraciones, 52 ilustraciones a color |
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| 336 |
_atexto _btxt _2rdacontent |
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| 337 |
_aelectrónico _bc _2rdamedia |
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| 338 |
_arecurso electrónico _bcr _2rdacarrier |
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| 347 |
_aarchivo de texto _bPDF |
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| 505 | 0 | _a1 AI and Pooling Tests for COVID-19 -- 2 AI for Drug Repurposing in the Pandemic Response -- 3 AI and Point Of Care Image Analysis For COVID-19 -- 4 Machine Learning and Laboratory Values in the Diagnosis, Prognosis and Vaccination Strategy of COVID-19 -- 5 AI and the Infectious Medicine of COVID-19 -- 6 AI and ICU Monitoring in COVID-19 -- 7 Symptom Based Detection Models of COVID-19 Infection Using AI -- 8 AI Techniques for Forecasting Epidemic Dynamics: Theory and Practice -- 9 Regulatory Aspects on AI and Pharmacovigilance for COVID-19 -- 10 AI and the Clinical Immunology / Immunoinformatics for COVID-19 -- 11 AI, Epidemiology and Public Health in the Covid Pandemic -- 12 AI and Dynamic Sepsis Prediction in Covid-19. | |
| 520 | _aThis book deals with the advantages of using artificial intelligence (AI) in the fight against the COVID-19 and against future pandemics that could threat humanity and our environment. This book is a practical, scientific and clinically relevant example of how medicine and mathematics will fuse in the 2020s, out of external pandemic pressure and out of scientific evolutionary necessity. This book contains a unique blend of the world's leading researchers, both in medicine, mathematics, computer science, clinical and preclinical medicine, and presents the research front of the usage of AI against pandemics. Equipped with this book the reader will learn about the latest AI advances against COVID-19, and how mathematics and algorithms can aid in preventing its spreading course, treatments, diagnostics, vaccines, clinical management and future evolution. | ||
| 988 | _aSpringer_Medicine_2022 | ||
| 650 | 7 |
_2embne _9421371 _aInteligencia artificial en medicina |
|
| 650 | 7 |
_2embne _9683668 _aCOVID-19 |
|
| 700 | 1 |
_aLidströmer, Niklas _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
| 700 | 1 |
_aEldar, Yonina C _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
| 776 | 0 | 8 |
_iPrinted edition: _z9783031085055 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783031085079 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783031085086 |
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-08506-2 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 942 |
_2lcc _cLE |
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| 998 |
_b12/2022 _dz _eh _zSI |
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