Die Zukunft hat schon begonnen [1] Wie maschinelles Lernen Anästhesie und Intensivmedizin prägt
Tomorrow is already here [1] How machine learning is influencing anaesthesiology and intensive care medicine
| Author | Kagerbauer, S. | dc.contributor.author |
| Author | Blobner, M. | dc.contributor.author |
| Author | Ulm, B. | dc.contributor.author |
| Author | Jungwirth, B. | dc.contributor.author |
| Date of accession | 2020-05-05T11:42:35Z | dc.date.accessioned |
| Available in OPARU since | 2020-05-05T11:42:35Z | dc.date.available |
| Date of first publication | 2020 | dc.date.issued |
| Language | de | dc.language.iso |
| Publisher | Universität Ulm | dc.publisher |
| Keyword | Artificial Intelligence | dc.subject |
| Keyword | Machine Learning | dc.subject |
| Keyword | Big Data | dc.subject |
| Keyword | Risk Prediction | dc.subject |
| Keyword | CLINICAL DECISION-SUPPORT | dc.subject |
| Keyword | FAILURE | dc.subject |
| Keyword | PREDICTION | dc.subject |
| Keyword | THERAPY | dc.subject |
| Keyword | SYSTEM | dc.subject |
| Keyword | RECOMMENDATIONS | dc.subject |
| Keyword | IMPLEMENTATION | dc.subject |
| Keyword | PROPOFOL | dc.subject |
| Keyword | ADULTS | dc.subject |
| Dewey Decimal Group | DDC 610 / Medicine & health | dc.subject.ddc |
| Title | Die Zukunft hat schon begonnen [1] Wie maschinelles Lernen Anästhesie und Intensivmedizin prägt | dc.title |
| Resource type | Wissenschaftlicher Artikel | dc.type |
| Institution | UKU. Klinik für Anästhesiologie | uulm.affiliationSpecific |
| DCMI Type | Text | uulm.typeDCMI |
| Category | Publikationsnachweise | uulm.category |
| DOI (external) | 10.19224/ai2020.085 | dc.identifier.doiExternal |
| Source - Title of source | Anästhesiologie & Intensivmedizin | source.title |
| Source - Place of publication | Aktiv, Dr. & Verl. | source.publisher |
| Source - Volume | 61 | source.volume |
| Source - Issue | 3 | source.issue |
| Source - Year | 2020 | source.year |
| Source - From page | 85 | source.fromPage |
| Source - To page | 96 | source.toPage |
| Source - ISSN | 0170-5334 | source.identifier.issn |
| Source - eISSN | 1439-0256 | source.identifier.eissn |
| Community | Universitätsklinikum Ulm | uulm.community |
| WoS | 000525810100005 | uulm.identifier.wos |
| Translated title | Tomorrow is already here [1] How machine learning is influencing anaesthesiology and intensive care medicine | dc.title.translated |
| Bibliography | uulm | uulm.bibliographie |
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Publikationsnachweise [21340]