Some Thoughts About Artificial Intelligence
Hours were spent punching data onto cards that were fed into an early digital electronic computer called FLAC (Florida Automatic Computer).2 FLAC was gigantic; it used vacuum tubes, weighed approximately a half ton, and was built at the cost of about one-half billion US dollars. 11 In my opinion, an...
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Veröffentlicht in: | Clinical therapeutics 2019-08, Vol.41 (8), p.1401-1403 |
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description | Hours were spent punching data onto cards that were fed into an early digital electronic computer called FLAC (Florida Automatic Computer).2 FLAC was gigantic; it used vacuum tubes, weighed approximately a half ton, and was built at the cost of about one-half billion US dollars. 11 In my opinion, any amount of error at the individual patient level is a bit scary, although when data sets are large enough, even error rates of 5% should be mitigated by randomization. What about electronic data security? I was very amused to read that President Donald Trump's GHIN (Golf Handicap and Information Network) golfing handicap scores were falsely posted because the database holding them had been hacked.12 That is the funny news. |
doi_str_mv | 10.1016/j.clinthera.2019.06.016 |
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What about electronic data security? I was very amused to read that President Donald Trump's GHIN (Golf Handicap and Information Network) golfing handicap scores were falsely posted because the database holding them had been hacked.12 That is the funny news.</description><identifier>ISSN: 0149-2918</identifier><identifier>EISSN: 1879-114X</identifier><identifier>DOI: 10.1016/j.clinthera.2019.06.016</identifier><identifier>PMID: 31345558</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Artificial intelligence ; Big Data ; Computers ; Data integrity ; Digital computers ; Drugs ; Internal Medicine ; Medical Education ; Medicine ; Personal computers ; Security ; Surgery ; Trump, Donald J ; Vacuum ; Vacuum tubes</subject><ispartof>Clinical therapeutics, 2019-08, Vol.41 (8), p.1401-1403</ispartof><rights>2019</rights><rights>Copyright Elsevier Limited Aug 2019</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c454t-26dcc1d2775da41c4e7b39810a8375833fd46073b62ca23fa0be2fc1c7b598423</citedby><cites>FETCH-LOGICAL-c454t-26dcc1d2775da41c4e7b39810a8375833fd46073b62ca23fa0be2fc1c7b598423</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.proquest.com/docview/2282405618?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995,64385,64387,64389,72469</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31345558$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Shader, Richard I.</contributor><creatorcontrib>Shader, Richard I., MD</creatorcontrib><title>Some Thoughts About Artificial Intelligence</title><title>Clinical therapeutics</title><addtitle>Clin Ther</addtitle><description>Hours were spent punching data onto cards that were fed into an early digital electronic computer called FLAC (Florida Automatic Computer).2 FLAC was gigantic; it used vacuum tubes, weighed approximately a half ton, and was built at the cost of about one-half billion US dollars. 11 In my opinion, any amount of error at the individual patient level is a bit scary, although when data sets are large enough, even error rates of 5% should be mitigated by randomization. What about electronic data security? I was very amused to read that President Donald Trump's GHIN (Golf Handicap and Information Network) golfing handicap scores were falsely posted because the database holding them had been hacked.12 That is the funny news.</description><subject>Artificial intelligence</subject><subject>Big Data</subject><subject>Computers</subject><subject>Data integrity</subject><subject>Digital computers</subject><subject>Drugs</subject><subject>Internal Medicine</subject><subject>Medical Education</subject><subject>Medicine</subject><subject>Personal computers</subject><subject>Security</subject><subject>Surgery</subject><subject>Trump, Donald J</subject><subject>Vacuum</subject><subject>Vacuum 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MD</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c454t-26dcc1d2775da41c4e7b39810a8375833fd46073b62ca23fa0be2fc1c7b598423</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Artificial intelligence</topic><topic>Big Data</topic><topic>Computers</topic><topic>Data integrity</topic><topic>Digital computers</topic><topic>Drugs</topic><topic>Internal Medicine</topic><topic>Medical Education</topic><topic>Medicine</topic><topic>Personal computers</topic><topic>Security</topic><topic>Surgery</topic><topic>Trump, Donald J</topic><topic>Vacuum</topic><topic>Vacuum tubes</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Shader, Richard I., MD</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Nursing & Allied Health 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even error rates of 5% should be mitigated by randomization. What about electronic data security? I was very amused to read that President Donald Trump's GHIN (Golf Handicap and Information Network) golfing handicap scores were falsely posted because the database holding them had been hacked.12 That is the funny news.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>31345558</pmid><doi>10.1016/j.clinthera.2019.06.016</doi><tpages>3</tpages></addata></record> |
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source | ScienceDirect Journals (5 years ago - present); ProQuest Central UK/Ireland |
subjects | Artificial intelligence Big Data Computers Data integrity Digital computers Drugs Internal Medicine Medical Education Medicine Personal computers Security Surgery Trump, Donald J Vacuum Vacuum tubes |
title | Some Thoughts About Artificial Intelligence |
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