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Artificial Intelligence and Machine Learning in Health Care and Medical Sciences: Best Practices and Pitfallsis a comprehensive guide to how AI and ML techniques can best be applied in health care. The emphasis placed on how to avoid a variety of pitfalls that can be encountered makes it an indispensable guide for all medical informatics professionals and physicians who utilize these methodologies on a day-to-day basis. Furthermore, this work will be of significant interest to health data scientists, administrators and to students in the health sciences seeking an up-to-date resource on the topic.
Artificial Intelligence and Machine Learning in Health Care and Medical Sciences: Best Practices and Pitfallsis a comprehensive guide to how AI and ML techniques can best be applied in health care. The emphasis placed on how to avoid a variety of pitfalls that can be encountered makes it an indispensable guide for all medical informatics professionals and physicians who utilize these methodologies on a day-to-day basis. Furthermore, this work will be of significant interest to health data scientists, administrators and to students in the health sciences seeking an up-to-date resource on the topic.
Constantin Aliferis received an MD degree from Athens University in Greece in 1990, and an MS in 1994 and PhD in 1998 in Artificial Intelligence from the University of Pittsburgh. He also completed a post doctoral Fellowhip focusing on Machine Learning in Biomedicine. His has served as faculty in Biomedical Informatics, Computer Science, Biostatistics and Cancer Biology at Vanderbilt University; Informatics, Computational Biology, Data Science and Pathology at NYU; and Informatics, Medicine and Data Science at the University of Minnesota. He has also been a regular faculty member in the Cancer Centers of the above universities and architected/led their MS and PhD programs in Biomedical Informatics. He has also been the director of the NYU's Center for Health Informatics and Bioinformatics, and Director of the UMN Institute for Health Informatics at the UMN where he is also Chief Research Informatics Officer and a tenured Professor. He is a federally-funded investigator who has pioneered several novel and best-of-breed AI and ML methods, applied them in dozens of areas, and has also published extensively in method benchmarking and several other best-practice-related topics.
| Erscheinungsjahr: | 2024 |
|---|---|
| Fachbereich: | Allgemeine Lexika |
| Genre: | Medizin |
| Rubrik: | Wissenschaften |
| Medium: | Taschenbuch |
| Inhalt: |
xxvi
810 S. 16 s/w Illustr. 130 farbige Illustr. 810 p. 146 illus. 130 illus. in color. |
| ISBN-13: | 9783031393570 |
| ISBN-10: | 3031393570 |
| Sprache: | Englisch |
| Herstellernummer: | 978-3-031-39357-0 |
| Einband: | Kartoniert / Broschiert |
| Redaktion: |
Simon, Gyorgy J.
Aliferis, Constantin |
| Herausgeber: | Gyorgy J Simon/Constantin Aliferis |
| Auflage: | 1st ed. 2024 |
| Hersteller: |
Springer
Springer, Berlin Institute for Health Informatics |
| Verantwortliche Person für die EU: | Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com |
| Abbildungen: | XXVI, 810 p. 146 illus., 130 illus. in color. |
| Maße: | 235 x 155 x 235 mm |
| Von/Mit: | Gyorgy J. Simon (u. a.) |
| Erscheinungsdatum: | 05.03.2024 |
| Gewicht: | 1,242 kg |