Search Articles

View query in Help articles search

Search Results (1 to 8 of 8 Results)

Download search results: CSV END BibTex RIS


Computer-Assisted Update of a Consumer Health Vocabulary Through Mining of Social Network Data

Computer-Assisted Update of a Consumer Health Vocabulary Through Mining of Social Network Data

Examples of biomedical ATRs are Collier et al’s hidden Markov model for identifying gene names and gene products, as well as Frantzi et al’s “C-value” and Zeng et al’s “termhood” score [17-19]. Since C-value and termhood scores are used in our study, we will briefly describe them here. The C-value equation uses part of speech-tagged data and restricts candidate terms to noun phrases.

Kristina M M Doing-Harris, Qing Zeng-Treitler

J Med Internet Res 2011;13(2):e37

Assessing Pictograph Recognition: A Comparison of Crowdsourcing and Traditional Survey Approaches

Assessing Pictograph Recognition: A Comparison of Crowdsourcing and Traditional Survey Approaches

Among the 486 pictographs, only 29 had the exact same ratings, although the rating differences were fairly small ( As part of our analysis, the test pictographs were classified as direct, indirect, and arbitrary according to the representation strategies outlined by Nakamura and Zeng-Treitler [47]. Direct representation explored the visual similarity between a pictograph and its referent, (eg, depicting a thermometer directly).

Jinqiu Kuang, Lauren Argo, Greg Stoddard, Bruce E Bray, Qing Zeng-Treitler

J Med Internet Res 2015;17(12):e281

Will Artificial Intelligence Translate Big Data Into Improved Medical Care or Be a Source of Confusing Intrusion? A Discussion Between a (Cautious) Physician Informatician and an (Optimistic) Medical Informatics Researcher

Will Artificial Intelligence Translate Big Data Into Improved Medical Care or Be a Source of Confusing Intrusion? A Discussion Between a (Cautious) Physician Informatician and an (Optimistic) Medical Informatics Researcher

Drs Nelson and Zeng-Treitler work together at the Biomedical Informatics Center at George Washington University. In the following we present a hypothetical dialogue which grew out of discussions they had as they considered their differing viewpoints of how artificial intelligence (AI) has developed and where it is going. While Dr Zeng-Treitler’s view of the future of AI is highly optimistic, Dr Nelson's opinion is more cautious.

Qing Zeng-Treitler, Stuart J Nelson

J Med Internet Res 2019;21(11):e16272

Cookie Consent

We use our own cookies and third-party cookies so that we can show you this website and better understand how you use it, with a view to improving the services we offer. If you continue browsing, we consider that you have accepted the cookies.