Panesar arjun arjun panesar (64 Ergebnisse)

Zustand: Very Good. Zustand des Schutzumschlags: 48660084. 1792051982. 10/15/2026 8:13:02 AM.

Paperback. Zustand: Very Good. Second. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

Zustand: good. Book is considered to be in good or better condition. The actual cover image may not match the stock photo. Hard cover books may show signs of wear on the spine, cover or dust jacket. Paperback book may show signs of wear on spine or cover as well as having a slight bend, curve or creasing to it. Book should have minimal to no writing inside and no highlighting. Pages should be free of tears or creasing. Stickers should not be present on cover or elsewhere, and any CD or DVD expected with the book is included. Book is not a former library copy.…

paperback. Zustand: Very Good.

paperback. Zustand: Fine.

paperback. Zustand: Very Good.

Zustand: New.

Paperback. Zustand: New. This book provides a comprehensive explanation of precision (i.e., personalized) healthcare and explores how it can be advanced through artificial intelligence (AI) and other data-driven technologies. From improving the diagnosis, treatment, and monitoring of many medical conditions to the effective implementation of precise patient care, this book will help you understand datasets produced from digital health technologies and IoT and teach you how to employ analytical methods such as convolutional neural networks and deep learning to analyze that data. You'll also see how this data-driven approach can enhance and democratize value-based healthcare delivery. Additionally, you'll learn how the convergence of AI and precision health is revolutionizing healthcare, including some of the most difficult challenges facing precision medicine, such as ethics, bias, privacy, and health equity. Precision Health and Artificial Intelligence provides the groundwork for clinicians, engineers, bioinformaticians, and healthcare enthusiasts to apply AI to healthcare.What You Will LearnUnderstand the components required to facilitate precision health and personalized careApply and implement precision health systemsOvercome the challenges of delivering precision healthcare at scaleReconcile ethical and moral implications of delivering precision healthcareGain insight into the hurdles providers face while implementing precision healthcare Who This Book Is ForHealthcare professionals, clinicians, engineers, bioinformaticians, chief information officers (CIOs), and students.…

Zustand: New. Brand New! Not Overstocks or Low Quality Book Club Editions! Direct From the Publisher! We're not a giant, faceless warehouse organization! We're a small town bookstore that loves books and loves it's customers! Buy from Lakeside Books.

Zustand: New.

Zustand: New. Brand New! Not Overstocks or Low Quality Book Club Editions! Direct From the Publisher! We're not a giant, faceless warehouse organization! We're a small town bookstore that loves books and loves it's customers! Buy from Lakeside Books.

Paperback or Softback. Zustand: New. Precision Health and Artificial Intelligence: With Privacy, Ethics, Bias, Health Equity, Best Practices, and Case Studies. Book.

Paperback or Softback. Zustand: New. Machine Learning and AI for Healthcare: Big Data for Improved Health Outcomes. Book.

Zustand: As New. Unread book in perfect condition.

Paperback. Zustand: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.

Zustand: As New. Unread book in perfect condition.

Paperback. Zustand: New. This book provides a comprehensive explanation of precision (i.e., personalized) healthcare and explores how it can be advanced through artificial intelligence (AI) and other data-driven technologies. From improving the diagnosis, treatment, and monitoring of many medical conditions to the effective implementation of precise patient care, this book will help you understand datasets produced from digital health technologies and IoT and teach you how to employ analytical methods such as convolutional neural networks and deep learning to analyze that data. You'll also see how this data-driven approach can enhance and democratize value-based healthcare delivery. Additionally, you'll learn how the convergence of AI and precision health is revolutionizing healthcare, including some of the most difficult challenges facing precision medicine, such as ethics, bias, privacy, and health equity. Precision Health and Artificial Intelligence provides the groundwork for clinicians, engineers, bioinformaticians, and healthcare enthusiasts to apply AI to healthcare.What You Will LearnUnderstand the components required to facilitate precision health and personalized careApply and implement precision health systemsOvercome the challenges of delivering precision healthcare at scaleReconcile ethical and moral implications of delivering precision healthcareGain insight into the hurdles providers face while implementing precision healthcare Who This Book Is ForHealthcare professionals, clinicians, engineers, bioinformaticians, chief information officers (CIOs), and students.…

Paperback. Zustand: New. Second Edition. This updated second edition offers a guided tour of machine learning algorithms and architecture design. It provides real-world applications of intelligent systems in healthcare and covers the challenges of managing big data.The book has been updated with the latest research in massive data, machine learning, and AI ethics. It covers new topics in managing the complexities of massive data, and provides examples of complex machine learning models. Updated case studies from global healthcare providers showcase the use of big data and AI in the fight against chronic and novel diseases, including COVID-19. The ethical implications of digital healthcare, analytics, and the future of AI in population health management are explored. You will learn how to create a machine learning model, evaluate its performance, and operationalize its outcomes within your organization. Case studies from leading healthcare providers cover scaling global digital services. Techniques are presented to evaluate the efficacy, suitability, and efficiency of AI machine learning applications through case studies and best practice, including the Internet of Things.You will understand how machine learning can be used to develop health intelligence-with the aim of improving patient health, population health, and facilitating significant care-payer cost savings.What You Will LearnUnderstand key machine learning algorithms and their use and implementation within healthcareImplement machine learning systems, such as speech recognition and enhanced deep learning/AIManage the complexities of massive dataBe familiar with AI and healthcare best practices, feedback loops, and intelligent agentsWho This Book Is ForHealth care professionals interested in how machine learning can be used to develop health intelligence - with the aim of improving patient health, population health and facilitating significant care-payer cost savings.…

Zustand: New.

Paperback / softback. Zustand: New. New copy - Usually dispatched within 2 working days.

paperback. Zustand: VeryGood. A copy that may have been read, very minimal wear and tear. May have a remainder mark.

paperback. Zustand: LikeNew. Used Like New, no missing pages, no damage to binding, may have a remainder mark.

paperback. Zustand: New. Brand new book, sourced directly from publisher. Dispatch time is 3-4 days from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

Zustand: New.

Paperback. Zustand: New. Second Edition. This updated second edition offers a guided tour of machine learning algorithms and architecture design. It provides real-world applications of intelligent systems in healthcare and covers the challenges of managing big data.The book has been updated with the latest research in massive data, machine learning, and AI ethics. It covers new topics in managing the complexities of massive data, and provides examples of complex machine learning models. Updated case studies from global healthcare providers showcase the use of big data and AI in the fight against chronic and novel diseases, including COVID-19. The ethical implications of digital healthcare, analytics, and the future of AI in population health management are explored. You will learn how to create a machine learning model, evaluate its performance, and operationalize its outcomes within your organization. Case studies from leading healthcare providers cover scaling global digital services. Techniques are presented to evaluate the efficacy, suitability, and efficiency of AI machine learning applications through case studies and best practice, including the Internet of Things.You will understand how machine learning can be used to develop health intelligence-with the aim of improving patient health, population health, and facilitating significant care-payer cost savings.What You Will LearnUnderstand key machine learning algorithms and their use and implementation within healthcareImplement machine learning systems, such as speech recognition and enhanced deep learning/AIManage the complexities of massive dataBe familiar with AI and healthcare best practices, feedback loops, and intelligent agentsWho This Book Is ForHealth care professionals interested in how machine learning can be used to develop health intelligence - with the aim of improving patient health, population health and facilitating significant care-payer cost savings.…

Zustand: New. 2023. 1st ed. paperback. . . . . .

Paperback. Zustand: new. Paperback. This updated second edition offers a guided tour of machine learning algorithms and architecture design. It provides real-world applications of intelligent systems in healthcare and covers the challenges of managing big data.The book has been updated with the latest research in massive data, machine learning, and AI ethics. It covers new topics in managing the complexities of massive data, and provides examples of complex machine learning models. Updated case studies from global healthcare providers showcase the use of big data and AI in the fight against chronic and novel diseases, including COVID-19. The ethical implications of digital healthcare, analytics, and the future of AI in population health management are explored. You will learn how to create a machine learning model, evaluate its performance, and operationalize its outcomes within your organization. Case studies from leading healthcare providers cover scaling global digital services. Techniques are presented to evaluate the efficacy, suitability, and efficiency of AI machine learning applications through case studies and best practice, including the Internet of Things.You will understand how machine learning can be used to develop health intelligencewith the aim of improving patient health, population health, and facilitating significant care-payer cost savings.What You Will LearnUnderstand key machine learning algorithms and their use and implementation within healthcareImplement machine learning systems, such as speech recognition and enhanced deep learning/AIManage the complexities of massive dataBe familiar with AI and healthcare best practices, feedback loops, and intelligent agentsWho This Book Is ForHealth care professionals interested in how machine learning can be used to develop health intelligence with the aim of improving patient health, population health and facilitating significant care-payer cost savings. Intermediate user level Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Zustand: New. 2020. 2nd ed. Paperback. . . . . .

Zustand: As New. Unread book in perfect condition.

Zustand: New. In English.