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Crowdsourced health: how what you do on the Internet will improve medicine

Book Cover
Average Rating
Publisher:
The MIT Press
Pub. Date:
[2016]
Language:
English
Description
How data from our health-related Internet searches can lead to discoveries about diseases and symptoms and help patients deal with diagnoses. Most of us have gone online to search for information about health. What are the symptoms of a migraine? How effective is this drug? Where can I find more resources for cancer patients? Could I have an STD? Am I fat? A Pew survey reports more than 80 percent of American Internet users have logged on to ask questions like these. But what if the digital traces left by our searches could show doctors and medical researchers something new and interesting? What if the data generated by our searches could reveal information about health that would be difficult to gather in other ways? In this book, Elad Yom-Tov argues that Internet data could change the way medical research is done, supplementing traditional tools to provide insights not otherwise available. He describes how studies of Internet searches have, among other things, already helped researchers track to side effects of prescription drugs, to understand the information needs of cancer patients and their families, and to recognize some of the causes of anorexia. Yom-Tov shows that the information collected can benefit humanity without sacrificing individual privacy. He explains why people go to the Internet with health questions; for one thing, it seems to be a safe place to ask anonymously about such matters as obesity, sex, and pregnancy. He describes in detrimental effects of "pro-anorexia" online content; tells how computer scientists can scour search engine data to improve public health by, for example, identifying risk factors for disease and centers of contagion; and tells how analyses of how people deal with upsetting diagnoses help doctors to treat patients and patients to understand their conditions.
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ISBN:
9780262034500
9780262334808
9780262334815
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Grouping Information

Grouped Work IDbf9d4aa4-e57b-280e-9d98-c220995b8067
Grouping Titlecrowdsourced health how what you do on the internet will improve medicine
Grouping Authorelad yom tov
Grouping Categorybook
Grouping LanguageEnglish (eng)
Last Grouping Update2022-09-07 20:43:36PM
Last Indexed2022-10-01 02:15:38AM

Solr Fields

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0
accelerated_reader_reading_level
0
author
Yom-Tov, Elad
author_display
Yom-Tov, Elad
available_at_aimslibrary
Aims Community College - Greeley
detailed_location_aimslibrary
Aims Greeley Circulation
display_description
How data from our health-related Internet searches can lead to discoveries about diseases and symptoms and help patients deal with diagnoses. Most of us have gone online to search for information about health. What are the symptoms of a migraine? How effective is this drug? Where can I find more resources for cancer patients? Could I have an STD? Am I fat? A Pew survey reports more than 80 percent of American Internet users have logged on to ask questions like these. But what if the digital traces left by our searches could show doctors and medical researchers something new and interesting? What if the data generated by our searches could reveal information about health that would be difficult to gather in other ways? In this book, Elad Yom-Tov argues that Internet data could change the way medical research is done, supplementing traditional tools to provide insights not otherwise available. He describes how studies of Internet searches have, among other things, already helped researchers track to side effects of prescription drugs, to understand the information needs of cancer patients and their families, and to recognize some of the causes of anorexia. Yom-Tov shows that the information collected can benefit humanity without sacrificing individual privacy. He explains why people go to the Internet with health questions; for one thing, it seems to be a safe place to ask anonymously about such matters as obesity, sex, and pregnancy. He describes in detrimental effects of "pro-anorexia" online content; tells how computer scientists can scour search engine data to improve public health by, for example, identifying risk factors for disease and centers of contagion; and tells how analyses of how people deal with upsetting diagnoses help doctors to treat patients and patients to understand their conditions.
format_aimslibrary
Book
format_category_aimslibrary
Books
id
bf9d4aa4-e57b-280e-9d98-c220995b8067
isbn
9780262034500
9780262334808
9780262334815
itype_aimslibrary
General Circulating
last_indexed
2022-10-01T08:15:38.725Z
lexile_score
-1
literary_form
Non Fiction
literary_form_full
Non Fiction
local_callnumber_aimslibrary
R858 .Y66 2016
owning_library_aimslibrary
Aims Community College
owning_location_aimslibrary
Aims Community College - Greeley
primary_isbn
9780262034500
publishDate
2016
publisher
MIT Press
The MIT Press
recordtype
grouped_work
subject_facet
Biomedical Research
COMPUTERS -- Internet -- General
Computer Technology
Crowdsourcing
Data Mining
Data mining
Electronic books
Exploration de données (Informatique)
Externalisation ouverte
HEALTH & FITNESS -- Holism
HEALTH & FITNESS -- Reference
Internet
Internet dans la recherche
Internet en médecine
Internet in medicine
Internet research
MEDICAL -- Alternative Medicine
MEDICAL -- Atlases
MEDICAL -- Essays
MEDICAL -- Family & General Practice
MEDICAL -- Holistic Medicine
MEDICAL -- Osteopathy
Medical
Médias sociaux
Nonfiction
Online social networks
Research
Réseaux sociaux (Internet)
Social Media
Social media
crowdsourcing
social media
title_display
Crowdsourced health : how what you do on the Internet will improve medicine
title_full
Crowdsourced Health : How What You Do on the Internet Will Improve Medicine Yom-Tov, Elad.
Crowdsourced health : how what you do on the Internet will improve medicine / Elad Yom-Tov
Crowdsourced health [electronic resource] : How what you do on the internet will improve medicine. Elad Yom-Tov
title_short
Crowdsourced health
title_sub
how what you do on the Internet will improve medicine
topic_facet
Alternative Medicine
Atlases
Biomedical Research
COMPUTERS
Computer Technology
Crowdsourcing
Data Mining
Data mining
Essays
Exploration de données (Informatique)
Externalisation ouverte
Family & General Practice
General
HEALTH & FITNESS
Holism
Holistic Medicine
Internet
Internet dans la recherche
Internet en médecine
Internet in medicine
Internet research
MEDICAL
Medical
Médias sociaux
Nonfiction
Online social networks
Osteopathy
Reference
Research
Réseaux sociaux (Internet)
Social Media
Social media
crowdsourcing
social media

Solr Details Tables

item_details

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ebscoccu:ocn945037540ocn945037540Ebsco (CCU)Online Ebsco (CCU)eBookeBook1falsetrueEbsco (CCU)http://ezproxy.ccu.edu/login?url=https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1201907Available OnlineEbsco (CCU)
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record_details

Bib IdFormatFormat CategoryEditionLanguagePublisherPublication DatePhysical DescriptionAbridged
ils:.b64123066BookBooksEnglishThe MIT Press[2016]144 pages : illustration ; 21 cm
proquestebookwestern:EBC4448145eBookeBookEnglishMIT Press20161 online resource (155 pages)
ebscoacademiccmc:ocn945037540eBookeBookEnglishThe MIT Press[2016]1 online resource (144 pages)
fortlewisebscoebooksub:ocn945037540eBookeBookEnglishThe MIT Press[2016]1 online resource (144 pages)
ebscoccu:ocn945037540eBookeBookEnglishThe MIT Press[2016]1 online resource (144 pages)
ebraryccu:EBC4448145eBookeBookEnglishThe MIT Press[2016]1 online resource (155 pages)
overdrivecmc:ODN0002662830eBookeBookEnglish20161 online resource

scoping_details_aimslibrary

Bib IdItem IdGrouped StatusStatusLocally OwnedAvailableHoldableBookableIn Library Use OnlyLibrary OwnedHoldable PTypesBookable PTypesLocal Url
ils:.b64123066.i137526635On ShelfOn Shelffalsetruetruefalsefalsetrue188, 189, 190, 191