Michael T. Lash
Michael T. Lash
Assistant Professor, 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
952016
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
242017
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
202017
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
162015
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
82017
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
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
Optimizing outcomes via inverse classification
MT Lash
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
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
2021
Predicting Retail Mobility during the COVID-19 Pandemic
M Lash, S Sajeesh, O Araz
2021
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
2019
Understanding social support and user behaviors in online health communities
X Wang, K Zhao, M Lash
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