Machine Learning Analytics Healthcare (254 results)

Machine Learning and Deep Learning in Medical Data Analytics and Healthcare Applications
Jena, Om Prakash (EDT); Bhushan, Bharat (EDT); Kose, Utku (EDT)
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Paperback or Softback. Condition: New. Machine Learning for Healthcare Analytics Projects. Book.

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- Softcover
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- Softcover
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Paperback. Condition: New. Create real-world machine learning solutions using NumPy, pandas, matplotlib, and scikit-learnKey FeaturesDevelop a range of healthcare analytics projects using real-world datasetsImplement key machine learning algorithms using a range of libraries from the Python ecosystemAccomplish intermediate-to-co…mplex tasks by building smart AI applications using neural network methodologiesBook DescriptionMachine 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.This book will teach you how to implement key machine learning algorithms and walk you through their use cases by 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.By 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.What you will learnExplore super imaging and natural language processing (NLP) to classify DNA sequencingDetect cancer based on the cell information provided to the SVMApply supervised learning techniques to diagnose autism spectrum disorder (ASD)Implement a deep learning grid and deep neural networks for detecting diabetesAnalyze data from blood pressure, heart rate, and cholesterol level tests using neural networksUse ML algorithms to detect autistic disordersWho this book is forMachine Learning for Healthcare Analytics Projects is for data scientists, machine learning engineers, and healthcare professionals who want to implement machine learning algorithms to build smart AI applications. Basic knowledge of Python or any programming language is expected to get the most from this book.

- Softcover
Seller: Rarewaves.com USA, London, LONDO, United KingdomRarewaves.com USA
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Paperback. Condition: New. Create real-world machine learning solutions using NumPy, pandas, matplotlib, and scikit-learnKey FeaturesDevelop a range of healthcare analytics projects using real-world datasetsImplement key machine learning algorithms using a range of libraries from the Python ecosystemAccomplish intermediate-to-co…mplex tasks by building smart AI applications using neural network methodologiesBook DescriptionMachine 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.This book will teach you how to implement key machine learning algorithms and walk you through their use cases by 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.By 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.What you will learnExplore super imaging and natural language processing (NLP) to classify DNA sequencingDetect cancer based on the cell information provided to the SVMApply supervised learning techniques to diagnose autism spectrum disorder (ASD)Implement a deep learning grid and deep neural networks for detecting diabetesAnalyze data from blood pressure, heart rate, and cholesterol level tests using neural networksUse ML algorithms to detect autistic disordersWho this book is forMachine Learning for Healthcare Analytics Projects is for data scientists, machine learning engineers, and healthcare professionals who want to implement machine learning algorithms to build smart AI applications. Basic knowledge of Python or any programming language is expected to get the most from this book.

- Softcover
Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
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- Softcover
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- Softcover
Seller: Textbooks_Source, Columbia, MO, U.S.A.Textbooks_Source
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- Softcover
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- Softcover
Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
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- Softcover
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- Softcover
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Machine Learning Approaches and Applications in Applied Intelligence for Healthcare Data Analytics
Kumar, Abhishek (EDT); Dubey, Ashutosh Kumar (EDT); Anavatti, Sreenatha G. (EDT); Rathore, Pramod Singh (EDT)
Language: English
Published by CRC Press, 2024
Series: Book 5 of 6 - Innovations in Big Data and Machine Learning
- Softcover
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Language: English
Published by CRC Press, 2024
Series: Book 5 of 6 - Innovations in Big Data and Machine Learning
- Softcover
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- Softcover
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Machine Learning and Deep Learning in Medical Data Analytics and Healthcare Applications
Jena, Om Prakash (EDT); Bhushan, Bharat (EDT); Kose, Utku (EDT)
- Softcover
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Language: English
Published by CRC Press, 2024
- Softcover
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Language: English
Published by CRC Press, 2024
- Softcover
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- Softcover
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- Softcover
Seller: Chiron Media, Wallingford, United KingdomChiron Media
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Published by Packt, Birmingham/Mumbai, July 2018. USA printing., 2018
Seller: City Basement Books, Melbourne, VIC, AustraliaCity Basement Books
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Add to basketPaperback, 19x23.5cm, 250pp. Very good condition. Light wear. ISBN: 9781787286702.

Published by Packt, Birmingham, October 2018. USA printing., 2018
Seller: City Basement Books, Melbourne, VIC, AustraliaCity Basement Books
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Add to basketPaperback, 19x23.5cm, 126pp. very good condition. Light wear. ISBN: 9781789536591.

Published by Packt, Birmingham and Mumbai, July 2018., 2018
Seller: City Basement Books, Melbourne, VIC, AustraliaCity Basement Books
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Add to basket8vo (23.5x19cm), paperback, viii + 250pp. Good condition. Light wear, bumped, a little curved. Appears to be unread. Pictures available on request.

- Softcover
Seller: Books Puddle, New York, NY, U.S.A.Books Puddle
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