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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 24 reviews
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Product Reviews
★★★★★ 3
Not indestructible
Color: C-Navy+Oak, Color: C-Navy+Oak
I assume it is probably hard to create an indestructible product, but my puppy had it apart in no time.
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Reviewed in the United States on June 10, 2026
★★★★★ 2
NOT DURABLE, LONG-LASTING, OR USEFUL
Color: A-Navy, Color: A-Navy
I gave this dog toy 2-stars based on my dog toy rating system (DTRS) for “Albert” the Blue Bear!
Safety (1-rating):
Albert fell apart after 4-hours of use.
1. The ears were chewed off and I was only able to find one of them, which means my dog swallowed the other ear. Very big concern as it depends on how big your dog is to pass this object. The ear is about the size of 1.5-quarters.
2. The tail was almost chewed off entirely and was hanging on by a thread before I threw it out.
3. After the ears came off, the inside foam started to come out, which raised my concern for my dog’s saftey.
4. The entire body was soft and did not cause any harm to teeth, gums, paws, nose, etc.
Durability (3-rating):
1. The ears and tail are the weakest parts of Albert as they can easily be chewed off.
2. The body is durable enough to sustain 4-hours of use, as I threw Albert out after the ears and tail were torn off within 4-hours.
3. The small squeaker inside Albert’s belly was broken after 15-minutes of use. Thank Goodness!
4. My next concern was how long the arms and legs would last; TBD!
Squeaker (1-rating):
1. Small plastic squeaker, the size of a half-dollar, with a high pitched noise.
Fatality (2-rating):
1. Albert was put to rest after 4-hours of use as I was concerned for the safety of my dog with continued use.
2. If Albert didn’t come with ears or a tail, I can only imagine how long he would’ve survived as the material seemed to be durable enough to withstand continued use.
In conclusion, “Albert” the Blue Bear is not worth the money for a toy that falls apart after 4-hrs of use and with the concerns of safety. I was surprised that it was only 8-inches tall, next time I’ll confirm the size of the toy before I purchase the next one.
About my dog “Cannoli” for comparison:
Breed: Blue Healer / Lab mix
Weight: 40-lbs
Energy Level: High
Age: 7-months
Chew Rating: Aggressive
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Reviewed in the United States on February 20, 2025
★★★★★ 3
The dog won!
Color: A-Navy, Color: A-Navy
It’s not indestructible. Wonder if I can get a refund or another toy. It did last longer than most so I give them credit for that!
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Reviewed in the United States on May 26, 2026
★★★★★ 5
Almost good enough
Color: E-Navy+Purple
My dog chewy can rip through anything, even these. I do love the toys they’re great. They’re made with coconut on the inside, but could somebody please!, make a chew toy worthy of my dogs teeth, cause this ain’t it. But it is the strongest so far . I would recommend it. My doodle chewy short for Chewbacca is insane about chewing.
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Reviewed in the United States on June 9, 2026
★★★★★ 3
Could be more durable.
Color: A-Navy
It’s not as durable as I’d hoped. I’ve had to mend it. It’s cute, though, and my dog likes it. He’s an Aussie, so not great bite strength.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on March 28, 2026
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