| 000 | 02287cam a2200301zu 4500 | ||
|---|---|---|---|
| 001 | 88966263 | ||
| 003 | FRCYB88966263 | ||
| 005 | 20250429184458.0 | ||
| 006 | m o d | ||
| 007 | cr un | ||
| 008 | 250429s2020 fr | o|||||0|0|||eng d | ||
| 020 | _a9780128202739 | ||
| 035 | _aFRCYB88966263 | ||
| 040 |
_aFR-PaCSA _ben _c _erda |
||
| 100 | 1 | _aAl'Aref M.D., Subhi J. | |
| 245 | 0 | 1 |
_aMachine Learning in Cardiovascular Medicine _c["Al'Aref M.D., Subhi J.", 'Singh, Gurpreet', 'Baskaran, Lohendran'] |
| 264 | 1 |
_bAcademic Press _c2020 |
|
| 300 | _a p. | ||
| 336 |
_btxt _2rdacontent |
||
| 337 |
_bc _2rdamdedia |
||
| 338 |
_bc _2rdacarrier |
||
| 650 | 0 | _a | |
| 700 | 0 | _aAl'Aref M.D., Subhi J. | |
| 700 | 0 | _aSingh, Gurpreet | |
| 700 | 0 | _aBaskaran, Lohendran | |
| 856 | 4 | 0 |
_2Cyberlibris _uhttps://international.scholarvox.com/netsen/book/88966263 _qtext/html _a |
| 520 | _aMachine Learning in Cardiovascular Medicine addresses the ever-expanding applications of artificial intelligence (AI), specifically machine learning (ML), in healthcare and within cardiovascular medicine. The book focuses on emphasizing ML for biomedical applications and provides a comprehensive summary of the past and present of AI, basics of ML, and clinical applications of ML within cardiovascular medicine for predictive analytics and precision medicine. It helps readers understand how ML works along with its limitations and strengths, such that they can could harness its computational power to streamline workflow and improve patient care. It is suitable for both clinicians and engineers; providing a template for clinicians to understand areas of application of machine learning within cardiovascular research; and assist computer scientists and engineers in evaluating current and future impact of machine learning on cardiovascular medicine. - Provides an overview of machine learning, both for a clinical and engineering audience - Summarize recent advances in both cardiovascular medicine and artificial intelligence - Discusses the advantages of using machine learning for outcomes research and image processing - Addresses the ever-expanding application of this novel technology and discusses some of the unique challenges associated with such an approach | ||
| 999 |
_c1331793 _d1331793 |
||