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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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4.6 ★★★★★
Based on 26 reviews
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Product Reviews
★★★★★ 5
Worth the money
Size: Medium, Color: Black
Very nice quality
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on June 2, 2026
★★★★★ 3
Ok
Size: Large, Color: Light Grey
Was decent for the price I originally got a large but top was tight in shoulders so I got an xl and the shoulder width was same as large
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 8, 2026
★★★★★ 5
Great shirt for the price!
Size: Small, Color: 01black
Nice for cowboy look! Shirt was just what I needed, it had a little stretch, and not to heavy. I wore it to a party , and the price was reasonable!!
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Reviewed in the United States on February 26, 2026
★★★★★ 1
Just an imprinted fabric, nit Western. AVOID
Size: Large, Color: 02khaki
So disappointed. This is a cheap polyester shirt without inserts or western detail. It’s just all part of the fabric …not even a separate piece of fabric …so IN THE PICTURE it looks like a really cool Western shirt. NOT!
It is just a junkie polyester job. Save your money.
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Reviewed in the United States on May 13, 2026
★★★★★ 5
Country wedding guest shirt
Size: XX-Large, Color: 01black
My best friend had a country themed wedding and I got this for my husband. It fit perfectly. True to size. Looks exactly like the pic. The material is sturdy so we will have to find another reason to wear this, but it’s a keeper
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Reviewed in the United States on April 21, 2026
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