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Harry Hochheiser

Biographic Data

ID6063924
NAMEHarry Hochheiser
GIVEN NAMESHarry
FAMILY NAMEHochheiser
SIGNATUREHOCHHEISER H
AFFILIATIONSUniversity of Pittsburgh
ORCID0000-0001-8793-9982
VERIFIEDYes
TOTAL WORKS9
TOTAL CITATIONS1
AUTHOR COUNT9
EDITOR COUNT0
FIRST PUBLICATION YEAR2001
LATEST PUBLICATION YEAR2025
H-INDEX1
  • Using Surveillance Data to Estimate Infectious Disease Burden

    Harry Hochheiser, Praveen Kumar•ARTICLE•American Journal of Public Health•2025•References: 11

  • Evaluation of Aiml + HDR—A Course to Enhance Data Science Workforce Capacity for Hispanic Biomedical Researchers

    Open Access•Frances L Heredia, Natalie Álamo-Rodríguez et al.•ARTICLE•International Journal of…•2023

    Artificial intelligence (AI) and machine learning (ML) facilitate the creation of revolutionary medical techniques. Unfortunately, biases in current AI and ML approaches are perpetuating minority health inequity. One of the strategies to solve this problem is training a diverse workforce. For this reason, we created the course "Artificial Intelligence and Machine Learning applied to Health Disparities Research (AIML + HDR)" which applied general …

  • Definition drives design

    Open Access•Denis Newman-Griffis, Jessica Sage Rauchberg et al.•ARTICLE•First Monday•2023

    The increasing deployment of artificial intelligence (AI) tools to inform decision-making across diverse areas including healthcare, employment, social benefits, and government policy, presents a serious risk for disabled people, who have been shown to face bias in AI implementations. While there has been significant work on analysing and mitigating algorithmic bias, the broader mechanisms of how bias emerges in AI applications are not well under…

  • Collaborative Hubs

    Nicholas G Reich, Justin Lessler et al.•ARTICLE•American Journal of Public Health•2022•Cited by: 1•References: 12

  • Simplicity and usability

    Open Access•Gerald P Douglas, Zach Landis‐Lewis et al.•ARTICLE•interactions•2011

    research-article Share on Simplicity and usability: lessons from a touchscreen electronic medical record system in Malawi Authors: Gerald P. Douglas University of Pittsburgh | Baobab Health Trust University of Pittsburgh | Baobab Health TrustView Profile , Zach Landis-Lewis University of Pittsburgh University of PittsburghView Profile , Harry Hochheiser University of Pittsburgh University of PittsburghView Profile Authors Info & Claims Interactio…

  • Electronic medical records

    Open Access•Harry Hochheiser, Ben Shneiderman•ARTICLE•interactions•2011

    No abstract available

  • From bowling alone to tweeting together

    Open Access•Harry Hochheiser, Ben Shneiderman•ARTICLE•interactions•2010

    research-article Share on From bowling alone to tweeting together: technology-mediated social participation Authors: Harry Hochheiser University of Pittsburgh University of PittsburghView Profile , Ben Shneiderman University of Maryland University of MarylandView Profile Authors Info & Claims InteractionsVolume 17Issue 2March + April 2010 pp 64–67https://doi.org/10.1145/1699775.1699790Published:01 March 2010Publication History 7citation1,401Downl…

  • Policy at the interface

    Jonathan Lazar, Jeff Johnson et al.•ARTICLE•interactions•2005

    No abstract available

  • Universal usability statements

    Open Access•Harry Hochheiser, Ben Shneiderman•ARTICLE•interactions•2001

    Signposts at ski areas help skiers to choose slopes that match their skills and equipment. They describe easy, intermediate and expert trails, indicate which ones are groomed, and give their length or vertical drop. Skiers use this information to make informed decisions, avoiding routes that may be too difficult or too long. They may choose different skis or waxes depending on the conditions. For web surfers, good guidance and safe visits are sti…

  • Collaborative Hubs

    Nicholas G Reich, Justin Lessler et al.•ARTICLE•American Journal of Public Health•2022•Cited by: 1•References: 12

  • Universal usability statements

    Open Access•Harry Hochheiser, Ben Shneiderman•ARTICLE•interactions•2001

    Signposts at ski areas help skiers to choose slopes that match their skills and equipment. They describe easy, intermediate and expert trails, indicate which ones are groomed, and give their length or vertical drop. Skiers use this information to make informed decisions, avoiding routes that may be too difficult or too long. They may choose different skis or waxes depending on the conditions. For web surfers, good guidance and safe visits are sti…

  • Policy at the interface

    Jonathan Lazar, Jeff Johnson et al.•ARTICLE•interactions•2005

    No abstract available

  • From bowling alone to tweeting together

    Open Access•Harry Hochheiser, Ben Shneiderman•ARTICLE•interactions•2010

    research-article Share on From bowling alone to tweeting together: technology-mediated social participation Authors: Harry Hochheiser University of Pittsburgh University of PittsburghView Profile , Ben Shneiderman University of Maryland University of MarylandView Profile Authors Info & Claims InteractionsVolume 17Issue 2March + April 2010 pp 64–67https://doi.org/10.1145/1699775.1699790Published:01 March 2010Publication History 7citation1,401Downl…

  • Simplicity and usability

    Open Access•Gerald P Douglas, Zach Landis‐Lewis et al.•ARTICLE•interactions•2011

    research-article Share on Simplicity and usability: lessons from a touchscreen electronic medical record system in Malawi Authors: Gerald P. Douglas University of Pittsburgh | Baobab Health Trust University of Pittsburgh | Baobab Health TrustView Profile , Zach Landis-Lewis University of Pittsburgh University of PittsburghView Profile , Harry Hochheiser University of Pittsburgh University of PittsburghView Profile Authors Info & Claims Interactio…

  • Electronic medical records

    Open Access•Harry Hochheiser, Ben Shneiderman•ARTICLE•interactions•2011

    No abstract available

  • Collaborative Hubs

    Nicholas G Reich, Justin Lessler et al.•ARTICLE•American Journal of Public Health•2022•Cited by: 1•References: 12

  • Evaluation of Aiml + HDR—A Course to Enhance Data Science Workforce Capacity for Hispanic Biomedical Researchers

    Open Access•Frances L Heredia, Natalie Álamo-Rodríguez et al.•ARTICLE•International Journal of…•2023

    Artificial intelligence (AI) and machine learning (ML) facilitate the creation of revolutionary medical techniques. Unfortunately, biases in current AI and ML approaches are perpetuating minority health inequity. One of the strategies to solve this problem is training a diverse workforce. For this reason, we created the course "Artificial Intelligence and Machine Learning applied to Health Disparities Research (AIML + HDR)" which applied general …

  • Definition drives design

    Open Access•Denis Newman-Griffis, Jessica Sage Rauchberg et al.•ARTICLE•First Monday•2023

    The increasing deployment of artificial intelligence (AI) tools to inform decision-making across diverse areas including healthcare, employment, social benefits, and government policy, presents a serious risk for disabled people, who have been shown to face bias in AI implementations. While there has been significant work on analysing and mitigating algorithmic bias, the broader mechanisms of how bias emerges in AI applications are not well under…

  • Using Surveillance Data to Estimate Infectious Disease Burden

    Harry Hochheiser, Praveen Kumar•ARTICLE•American Journal of Public Health•2025•References: 11

Computer Science (7 works) · Citation (3 works) · Data science (3 works) · Medicine (3 works) · Artificial Intelligence (2 works) · Business (2 works) · Human–computer interaction (2 works) · ICT in Developing Communities (2 works) · Knowledge Management and Sharing (2 works) · Library science (2 works)

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