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Healthcare Analytics Made Simple
Taschenbuch von Vikas Kumar
Sprache: Englisch

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Beschreibung
"In recent years, machine learning technologies and analytics have been widely utilized across the healthcare sector. Healthcare Analytics Made Simple bridges the gap between practising doctors and data scientists. It equips the data scientists' work with healthcare data and allows them to gain better insight from this data in order to improve healthcare outcomes. This book is a complete overview of machine learning for healthcare analytics, briefly describing the current healthcare landscape, machine learning algorithms, and Python and SQL programming languages. The step-by-step instructions teach you how to obtain real healthcare data and perform descriptive, predictive, and prescriptive analytics using popular Python packages such as pandas and scikit-learn. The latest research results in disease detection and healthcare image analysis are reviewed. By the end of this book, you will understand how to use Python for healthcare data analysis, how to import, collect, clean, and refine data from electronic health record (EHR) surveys, and how to make predictive models with this data through real-world algorithms and code examples"--
"In recent years, machine learning technologies and analytics have been widely utilized across the healthcare sector. Healthcare Analytics Made Simple bridges the gap between practising doctors and data scientists. It equips the data scientists' work with healthcare data and allows them to gain better insight from this data in order to improve healthcare outcomes. This book is a complete overview of machine learning for healthcare analytics, briefly describing the current healthcare landscape, machine learning algorithms, and Python and SQL programming languages. The step-by-step instructions teach you how to obtain real healthcare data and perform descriptive, predictive, and prescriptive analytics using popular Python packages such as pandas and scikit-learn. The latest research results in disease detection and healthcare image analysis are reviewed. By the end of this book, you will understand how to use Python for healthcare data analysis, how to import, collect, clean, and refine data from electronic health record (EHR) surveys, and how to make predictive models with this data through real-world algorithms and code examples"--
Über den Autor
Dr. Vikas (Vik) Kumar grew up in the United States in Niskayuna, New York. He earnedhis MD from the University of Pittsburgh, but shortly afterwards he discovered his truecalling of computers and data science. He then earned his MS in the College of Computingat Georgia Institute of Technology and has subsequently worked as a data scientist for bothhealthcare and non-healthcare companies. He currently lives in Atlanta, Georgia.
Details
Erscheinungsjahr: 2018
Fachbereich: Betriebssysteme & Benutzeroberflächen
Genre: Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Seiten: 268
ISBN-13: 9781787286702
ISBN-10: 1787286703
Sprache: Englisch
Ausstattung / Beilage: Paperback
Einband: Kartoniert / Broschiert
Autor: Kumar, Vikas
Hersteller: Packt Publishing
Maße: 235 x 191 x 15 mm
Von/Mit: Vikas Kumar
Erscheinungsdatum: 31.07.2018
Gewicht: 0,507 kg
preigu-id: 114146192
Über den Autor
Dr. Vikas (Vik) Kumar grew up in the United States in Niskayuna, New York. He earnedhis MD from the University of Pittsburgh, but shortly afterwards he discovered his truecalling of computers and data science. He then earned his MS in the College of Computingat Georgia Institute of Technology and has subsequently worked as a data scientist for bothhealthcare and non-healthcare companies. He currently lives in Atlanta, Georgia.
Details
Erscheinungsjahr: 2018
Fachbereich: Betriebssysteme & Benutzeroberflächen
Genre: Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Seiten: 268
ISBN-13: 9781787286702
ISBN-10: 1787286703
Sprache: Englisch
Ausstattung / Beilage: Paperback
Einband: Kartoniert / Broschiert
Autor: Kumar, Vikas
Hersteller: Packt Publishing
Maße: 235 x 191 x 15 mm
Von/Mit: Vikas Kumar
Erscheinungsdatum: 31.07.2018
Gewicht: 0,507 kg
preigu-id: 114146192
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