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Machine Learning for Healthcare Analytics Projectsaria expanded"true" class"a expander content a expander partial collapse content a expander content expanded" style'box sizing: border box; overflow: hidden; position: relative; color: rgb(15, 17, 17); font family: "Amazon Ember", Arial, sans serif; font size: 14px; padding bottom: 20px;' style"box sizing: border box; padding: 0px 0px 4px; margin: 0px; text rendering: optimizelegibility; font weight: 700; font size: 18px; line height: 24px;"Book
aria-expanded"true" class"a-expander-content a-expander-partial-collapse-content a-expander-content-expanded" style'box-sizing: border-box; overflow: hidden; position: relative; color: rgb(15, 17, 17); font-family: "Amazon Ember", Arial, sans-serif; font-size: 14px; padding-bottom: 20px;' style"box-sizing: border-box; padding: 0px 0px 4px; margin: 0px; text-rendering: optimizelegibility; font-weight: 700; font-size: 18px; line-height: 24px;"Book Description "box-sizing: border-box; padding: 0px; margin: 0px 0px 14px;"Machine Learning (ML) has changed the way organizations and individuals use data to improve the efficiency of a system. ML algorithms allow strategists to deal with a variety of structured, unstructured, and semi-structured data. Machine Learning for Healthcare Analytics Projects is packed with new approaches and methodologies for creating powerful solutions for healthcare analytics. "box-sizing: border-box; padding: 0px; margin: -4px 0px 14px;"This book will teach you how to implement key machine learning algorithms and walk you through their use cases employing a range of libraries from the Python ecosystem. You will build five end-to-end projects to evaluate the efficiency of Artificial Intelligence (AI) applications for carrying out simple-to-complex healthcare analytics tasks. With each project, you will gain new insights, which will then help you handle healthcare data efficiently. As you make your way through the book, you will use ML to detect cancer in a set of patients using support vector machines (SVMs) and k-Nearest neighbors (KNN) models. In the final chapters, you will create a deep neural network in Keras to predict the onset of diabetes in a huge dataset of patients. You will also learn how to predict heart diseases using neural networks. "box-sizing: border-box; padding: 0px; margin: -4px 0px 14px;" the end of this book, you will have learned how to address long-standing challenges, provide specialized solutions for how to deal with them, and carry out a range of cognitive tasks in the healthcare domain. style'box-sizing: border-box; padding: 0px 0px 4px; margin: 0px; text-rendering: optimizelegibility; font-weight: 700; font-size: 18px; line-height: 24px; color: rgb(15, 17, 17); font-family: "Amazon Ember", Arial, sans-serif;'Key FeaturesShipping Notes
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★★★★★ 5
I bought myself one and this one was gift for a friend.
Color: Cloud White, Material Type: Paper, PU
Very classy travel jewelry box. Just the size. Made well.
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Reviewed in the United States on May 19, 2026
★★★★★ 4
Nice Jewelry Box
Color: Jelly Pink, Material Type: Paper, PU, Color: Jelly Pink, Material Type: Paper, PU
Really nice jewelry box just smaller than expected. My fault for not checking the dimensions first. It’s a great value for the price.
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Reviewed in the United States on May 11, 2026
★★★★★ 5
Nice little jewelry box
Color: Cloud White, Material Type: Paper, PU
Just what I wanted in size and available compartments. The only thing I am hesitant about is the paper outside. Mine is white and may get dirty quickly.
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Reviewed in the United States on March 16, 2026
★★★★★ 5
A Lovely and Useful Gift
Color: Cloud White, Material Type: Paper, PU
I bought this SONGMICS jewelry organizer box as a gift and it was a great choice. The design is beautiful and it keeps jewelry well organized. It’s compact and perfect for travel or everyday use. The person I gave it to loved it and uses it all the time.
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Reviewed in the United States on March 8, 2026
★★★★★ 5
Small and cute!
Color: Cloud White, Material Type: Paper, PU
Its perfect!
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Reviewed in the United States on May 25, 2026