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Analyzing Data Streams

Making Sense of Device Data for Medicine, Industry, and Social Media

Michael Chary, Nicholas Genes (Autoren)

Buch | Softcover

250 Seiten

2017
O'Reilly Media (Verlag)
978-1-4919-3792-1 (ISBN)

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Learn new things about health and disease by using Python with an Arduino circuit board to acquire, analyze, and combine streaming data from multiple sources. Written by a team of physician scientists, active researchers, and emergency medicine physicians, this book provides unique perspectives on how technology could help improve the delivery of medical care today and change the delivery of medical care in the future. You'll dive into case studies that focus on the brain, heart, and muscular system. In each case study, you'll learn how to make a device with Arduino that enables you analyze specific data with Python. One final case study focuses on social media as a source of medical information and as a means to amalgamate the data gathered in earlier studies. You'll also learn how to hack wearable medical devices.

Michael Chary, MD, PhD is a resident in Emergency Medicine at New York Hospital - Queens. During his PhD he analyzed how cocaine changed the (rat) brain's capacity for representing information. Mike always liked languages more than rats, but that's how he learned Python. He now uses computational linguistics and applied mathematics to analyze social media for public health research. He and Nicholas Genes founded the research group, ToxTweet, which was the first to demonstrate that the geographic distribution of recreational drug use could be accurately estimated from Twitter and the dosage, and signs and symptoms of opioid overdose inferred from YouTube comments. Nicholas Genes, MD, PhD, is Associate Professor in the Department of Emergency Medicine at the Icahn School of Medicine at Mount Sinai in New York City. He graduated from Brown University, received his MD and PhD from the University of Massachusetts Medical School, and completed Emergency Medicine residency training, chief residency, and a fellowship in informatics at the Mount Sinai School of Medicine. He has studied the impact of health information exchanges (HIE) among ED providers, has written on the ethics of doctors googling patients, and researched the usability of pop-ups in electronic health records. He serves on his hospital's eHealth working group where he evaluates patient-facing health IT startups for pilot programs. Nick has the second most popular Twitter account in Mount Sinai Hospital..

Erscheint lt. Verlag	25.4.2017
Verlagsort	Sebastopol
Sprache	englisch
Maße	150 x 250 mm
Gewicht	666 g
Themenwelt	Informatik ► Datenbanken ► Data Warehouse / Data Mining
Themenwelt	Mathematik / Informatik ► Informatik ► Theorie / Studium
ISBN-10	1-4919-3792-0 / 1491937920
ISBN-13	978-1-4919-3792-1 / 9781491937921
Zustand	Neuware