Michael T. Lash
Michael T. Lash
Assistant Professor of Business Analytics, University of Kansas
Verified email at ku.edu - Homepage
Title
Cited by
Cited by
Year
Early predictions of movie success: the who, what, and when of profitability
MT Lash, K Zhao
Journal of Management Information Systems 33 (3), 874-903, 2016
1132016
Generalized inverse classification
MT Lash, Q Lin, N Street, JG Robinson, J Ohlmann
Proceedings of the 2017 SIAM International Conference on Data Mining, 162-170, 2017
292017
A budget-constrained inverse classification framework for smooth classifiers
MT Lash, Q Lin, WN Street, JG Robinson
Data Mining Workshops (ICDMW), 2017 IEEE International Conference on, 2017
212017
Early prediction of movie success—what, who, and when
M Lash, S Fu, S Wang, K Zhao
International Conference on Social Computing, Behavioral-Cultural Modeling …, 2015
172015
A Large-Scale Exploration of Factors Affecting Hand Hygiene Compliance Using Linear Predictive Models
MT Lash, J Slater, PM Polgreen, AM Segre
Healthcare Informatics (ICHI), 2017 IEEE International Conference on, 66-73, 2017
92017
A web-based registry for patients with sarcoidosis
AK Gerke, F Tang, YC Cozier, MT Lash, J Schappet, E Phillips, ...
Sarcoidosis, Vasculitis, and Diffuse Lung Diseases 34 (1), 26, 2017
52017
Optimal Sepsis Patient Treatment using Human-in-the-loop Artificial Intelligence
A Gupta, MT Lash, SK Nachimuthu
Expert Systems with Applications 169, 1-14, 2021
22021
Prophit: Causal inverse classification for multiple continuously valued treatment policies
MT Lash, Q Lin, WN Street
arXiv preprint arXiv:1802.04918, 2018
22018
Realistic risk-mitigating recommendations via inverse classification
MT Lash, WN Street
arXiv preprint arXiv:1611.04199, 2016
22016
Personalized Cardiovascular Disease Risk Mitigation via Longitudinal Inverse Classification
MT Lash, WN Street
Bioinformatics and Biomedicine (BIBM), 2020 IEEE International Conference on …, 2020
12020
21 Million Opportunities: A 19 Facility Investigation of Factors Affecting Hand Hygiene Compliance via Linear Predictive Models
MT Lash, J Slater, PM Polgreen, AM Segre
Journal of Healthcare Informatics Research 3 (4), 393–413, 2019
12019
Optimizing outcomes via inverse classification
MT Lash
The University of Iowa, 2018
12018
Deriving Enhanced Geographical Representations via Similarity-based Spectral Analysis: Predicting Colorectal Cancer Survival Curves in Iowa
MT Lash, M Zhang, X Zhou, WN Street, CF Lynch
International Journal of Data Mining and Bioinformatics 21 (3), 183-211, 2018
12018
Learning Rich Geographical Representations: Predicting Colorectal Cancer Survival in the State of Iowa
MT Lash, Y Sun, X Zhou, CF Lynch, WN Street
Bioinformatics and Biomedicine (BIBM), 2017 IEEE International Conference on, 2017
12017
Predicting Retail Mobility during the COVID-19 Pandemic
M Lash, S Sajeesh, O Araz
2021
Understanding social support and user behaviors in online health communities
X Wang, K Zhao, M Lash
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