Baseline Regularization for Computational Drug Repositioning with Longitudinal Observational Data
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence. Pages 2521-2527.
Abstract
Computational Drug Repositioning (CDR) is the knowledge discovery process of finding new indications for existing drugs leveraging heterogeneous drug-related data. Longitudinal observational data such as Electronic Health Records (EHRs) have become an emerging data source for CDR. To address the high-dimensional, irregular, subject and time-heterogeneous nature of EHRs, we propose Baseline Regularization (BR) and a variant that extend the one-way fixed effect model, which is a standard approach to analyze small-scale longitudinal data. For evaluation, we use the proposed methods to search for drugs that can lower Fasting Blood Glucose (FBG) level in the Marshfield Clinic EHR. Experimental results suggest that the proposed methods are capable of rediscovering drugs that can lower FBG level as well as identifying some potential blood sugar lowering drugs in the literature.
@inproceedings{ijcai2016p359,
title = {Baseline Regularization for Computational Drug Repositioning with Longitudinal Observational Data},
author = {Kuang, Zhaobin and Thomson, James A. and Caldwell, Michael and Peissig, Peggy L. and Stewart, Ron M. and Jr., C. David Page},
booktitle = {Proceedings of the Twenty-Fifth International Joint Conference on
Artificial Intelligence, {IJCAI-16}},
publisher = {AAAI Press / International Joint Conferences on Artificial Intelligence},
editor = {Subbarao Kambhampati},
pages = {2521--2527},
year = {2016},
month = {7},
url = {https://ijcai.org/proceedings/2016/359},
}
TY - CPAPER TI - Baseline Regularization for Computational Drug Repositioning with Longitudinal Observational Data AU - Kuang, Zhaobin AU - Thomson, James A. AU - Caldwell, Michael AU - Peissig, Peggy L. AU - Stewart, Ron M. AU - Jr., C. David Page T2 - Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, IJCAI-16 PB - AAAI Press / International Joint Conferences on Artificial Intelligence PY - 2016 SP - 2521 EP - 2527 UR - https://ijcai.org/proceedings/2016/359 ER -Copied
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