Zobrazeno 1 - 10
of 105
pro vyhledávání: '"Olivia R. Liu Sheng"'
Publikováno v:
ACM Transactions on Management Information Systems. 14:1-29
Traditional machine learning methods face unique challenges when applied to healthcare predictive analytics. The high-dimensional nature of healthcare data necessitates labor-intensive and time-consuming processes when selecting an appropriate set of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::966d2795d48b362b30a66ac7cdbf0575
https://doi.org/10.1145/3531326
https://doi.org/10.1145/3531326
Autor:
Galit Shmueli, Bianca Maria Colosimo, David Martens, Rema Padman, Maytal Saar-Tsechansky, Olivia R. Liu Sheng, W. Nick Street, Kwok-Leung Tsui
Publikováno v:
INFORMS : journal on data science
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a49e245da4913cdbc736ec3324283868
https://hdl.handle.net/10067/1965100151162165141
https://hdl.handle.net/10067/1965100151162165141
Publikováno v:
Information Systems Research. 32:1490-1493
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6e43a8b2493744fc4d954d46778626cc
https://doi.org/10.1287/isre.2021.1016
https://doi.org/10.1287/isre.2021.1016
Publikováno v:
Information Systems Research. 32:268-289
Product fit uncertainty is cited as one of the top reasons for high online product return rates. Fit describes how well a product suits a consumer’s needs. The value of a product drops sharply when it deviates from a customer’s ideal fit. In this
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8a081afe560de4aad68ada17febb22e3
https://doi.org/10.1287/isre.2020.0965
https://doi.org/10.1287/isre.2020.0965
Link recommendation, which recommends links to connect unlinked online social network users, is a fundamental social network analytics problem with ample business implications. Existing link recommendation methods tend to recommend similar friends to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dd0bcf448cad5848c6f4f4c2f5c9f67c
http://arxiv.org/abs/2205.10689
http://arxiv.org/abs/2205.10689
Publikováno v:
Information Systems Research. 31:1443-1466
Human capital is a key component of the knowledge economy. Firms compete not only for consumers in the product market but also for human capital in the labor market. In this study, we perform an interfirm labor market competitor analysis using the on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d950567aa0b20e6857a8c06f7cac007f
https://doi.org/10.1287/isre.2020.0954
https://doi.org/10.1287/isre.2020.0954
Autor:
Travis Ault, Olivia R. Liu Sheng, Josette Dorius, Samir E. AbdelRahman, Kensaku Kawamoto, Mohammad Amin Morid
To design and assess a method to leverage individuals' temporal data for predicting their healthcare cost. To achieve this goal, we first used patients' temporal data in their fine-grain form as opposed to coarse-grain form. Second, we devised novel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::283003e3cd9f994f3ac4aca76c149485
http://arxiv.org/abs/2009.06780
http://arxiv.org/abs/2009.06780
Autor:
Ramnath K. Chellappa, Paulo Goes, Alok Gupta, Yong Tan, Olivia R. Liu Sheng, D.J. Wu, Michael Shaw, Eric Zheng
Publikováno v:
Data and Information Management. 1:75-83
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b46a584f2de6934be645f080626d6ae0
https://doi.org/10.1515/dim-2017-0012
https://doi.org/10.1515/dim-2017-0012
Publikováno v:
ACM Transactions on Management Information Systems. 9:1-26
Link recommendation has attracted significant attentions from both industry practitioners and academic researchers. In industry, link recommendation has become a standard and most important feature in online social networks, prominent examples of whi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8f3cdf225d80dadce1b92aa69904b6a1
https://doi.org/10.1145/3131782
https://doi.org/10.1145/3131782
Autor:
Mohammad Amin Morid, Olivia R Liu Sheng, Guilherme Del Fiol, Julio C Facelli, Bruce E Bray, Samir Abdelrahman
BACKGROUND More than 20% of patients admitted to the intensive care unit (ICU) develop an adverse event (AE). No previous study has leveraged patients’ data to extract the temporal features using their structural temporal patterns, that is, trends.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::17b070f1a57fb915688fe7817f57dbfd
https://doi.org/10.2196/preprints.14272
https://doi.org/10.2196/preprints.14272