نام کتاب:Data-Driven Reproductive Health: Role of Bioinformatics and Machine Learning Methods

نويسنده/نويسندگان: Abhishek Sengupta (Editor), Priyanka Narad
نوع فايل: pdf ORIGINAL
سال انتشار: 2024
تعداد صفحات : 242
ناشر : Springer

شابک :9789819774500


نسخه چاپی تمام رنگی ، با کیفیت بالا ،جلد هارد

*بهترین کیفیت افست را از ما بخواهید*

شماره تماس ، واتس آپ و تلگرام 📞 09371686566📞

To buy in dollars, if you have PayPal, send a message to our Telegram
+989371686566

شماره تماس ، واتس آپ و تلگرام 📞 09371686566📞

🌸🌸🌸 🌸🌸🌸 🌸🌸🌸 🌸🌸🌸 🌸🌸🌸🌸

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.

.