Pain assessment and treatment decisions for virtual human patients. - Wikidata - awgldk - TriplyDB

Pain assessment and treatment decisions for virtual human patients.

Pain assessment and treatment decisions for virtual human patients.

http://www.wikidata.org/entity/Q37409055

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The influence of sex, race, and age on pain assessment and treatment decisions using virtual human technology: a cross-national comparison.

P2860

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P2860

Pain assessment and treatment decisions for virtual human patients.

http://www.wikidata.org/entity/Q37409055

description

article científic

@ca

article scientifique

@fr

articolo scientifico

@it

artigo científico

@pt

bilimsel makale

@tr

scientific article published on 24 August 2013

@en

vedecký článok

@sk

vetenskaplig artikel

@sv

videnskabelig artikel

@da

vědecký článek

@cs

name

Pain assessment and treatment decisions for virtual human patients.

@en

Pain assessment and treatment decisions for virtual human patients.

@nl

type

label

Pain assessment and treatment decisions for virtual human patients.

@en

Pain assessment and treatment decisions for virtual human patients.

@nl

prefLabel

Pain assessment and treatment decisions for virtual human patients.

@en

Pain assessment and treatment decisions for virtual human patients.

@nl

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CYBER.2012.0707

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Cyberpsychology, Behavior and Social Networking

P1476

Pain assessment and treatment decisions for virtual human patients.

@en

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Benjamin C Lok

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Calia A Torres

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Joon Hao Chuah

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Laura D Wandner

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Michael E Robinson

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Steven Z George

http://www.w3.org/2001/XMLSchema#string

P2860

Investigating patient characteristics on pain assessment using virtual human technology.

Race, ethnicity and pain.

Virtual human technology: patient demographics and healthcare training factors in pain observation and treatment recommendations

Patient gender affects the referral and recommendation for total joint arthroplasty

Psychosocial contributions to sex-correlated differences in pain.

Gender role expectations of pain: relationship to experimental pain perception

Virtual human technology: capturing sex, race, and age influences in individual pain decision policies

Pain assessment and treatment disparities: a virtual human technology investigation

Gender bias in medical textbooks: examples from coronary heart disease, depression, alcohol abuse and pharmacology.

Race, ethnicity, and pain among the U.S. adult population.

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904-909

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scholarly article

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10.1089/CYBER.2012.0707

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12

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16

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2013-08-24T00:00:00Z

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256098189

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23971429

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