| 书目名称 | Data-Driven Reproductive Health | | 副标题 | Role of Bioinformati | | 编辑 | Abhishek Sengupta,Priyanka Narad,Deepak Modi | | 视频video | | | 概述 | Covers the theoretical foundations of bioinformatics and machine learning in reproductive health.Includes step-by-step tutorials on applying data mining techniques to reproductive data.Provides case s | | 图书封面 |  | | 描述 | .This book provides insight into the transformative impact of data-driven approaches on reproductive health. Chapters cover a wealth of intricate algorithms of genomic analysis, predictive modeling, and personalized treatment strategies, providing an up-to-date view of the reproductive healthcare landscape. With more than 20 code-based examples, the book decodes complex biological data using bioinformatics and machine learning and provides valuable insights into fertility, genetic disorders, and personalized medicine...This book is relevant for healthcare professionals, researchers, and students in the fields of reproductive medicine, bioinformatics, and genetics.. | | 出版日期 | Book 2024 | | 关键词 | Computational Intelligence in Reproductive Health; Artificial Intelligence in Reproductive Health; Mac | | 版次 | 1 | | doi | https://doi.org/10.1007/978-981-97-7451-7 | | isbn_softcover | 978-981-97-7453-1 | | isbn_ebook | 978-981-97-7451-7 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor |
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发表于 2025-3-21 20:03:15
