Nicholas Ballester
Wright State University
6 Papers
11 Citations
Nicholas Ballester is an academic researcher from Wright State University. The author has contributed to research in topics: Rank correlation & Network science. The author has an hindex of 4, co-authored 6 publications. Previous affiliations of Nicholas Ballester include Air Force Institute of Technology.
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Papers
An Analytical Comparison of Social Network Measures
TL;DR: There exists high correlation among 14 of the 24 tested network measures, many of which also exhibit statistically significant differences with respect to computation time, which are of interest to analysts seeking to identify measures that provide similar ranked outcomes and where computational efficiency is an important consideration.
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Predicting 30-day Hospital Readmission with Publicly Available Administrative Database. A Conditional Logistic Regression Modeling Approach.
TL;DR: Judicious use of the ad-hoc CLR models developed offers insights into future development of prediction models for hospital readmissions, which can lead to better intuition in identifying high-risk patients and developing effective post-discharge care strategies.
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•Journal Article
An early warning tool for predicting at admission the discharge disposition of a hospitalized patient.
TL;DR: A validated, easy-to-use score can assist providers in identifying upon admission those patients who may not be able to go directly home after hospitalization, thus facilitating early discharge planning and coordination, potentially reducing length of hospital stay and improving patient experience.
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The n-by-T Target Discharge Strategy for Inpatient Units.
TL;DR: Target discharge strategies, such as the n-by-T, can help substantially reduce discharge lateness and upstream boarding, especially during high unit occupancy.
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Effect of Retail Layout on Traffic Density and Travel Distance
Nicholas Ballester,Bradley R. Guthrie,Stephanie Martens,Corinne H. Mowrey,Pratik J. Parikh,Xinhui Zhang +5 more
- 01 Jan 2014
TL;DR: In this paper, the effect of department layout on traffic density and shopper travel distances in a retail store is explored and it is shown that departments with a high percentage of items purchased do not necessarily need to be located at the rear of the store in order to draw a reasonable amount of traffic there.
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