{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,8,7]],"date-time":"2024-08-07T07:39:26Z","timestamp":1723016366837},"publisher-location":"California","reference-count":0,"publisher":"International Joint Conferences on Artificial Intelligence Organization","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,7]]},"abstract":"<jats:p>Contraceptive use improves the health of women and children in several ways, yet data shows high rates of discontinuation which is not well understood. We introduce an AI-based decision platform capable of analyzing event data to identify patterns of contraceptive uptake that are unique to a subpopulation of interest. These discriminatory patterns provide valuable, interpretable insights to policy-makers. The sequences then serve as a hypothesis for downstream causal analysis to estimate the effect of specific variables on discontinuation outcomes. Our platform presents a way to visualize, stratify, compare, and perform a causal analysis on covariates that determine contraceptive uptake behavior, and yet is general enough to be extended to a variety of applications.<\/jats:p>","DOI":"10.24963\/ijcai.2020\/772","type":"proceedings-article","created":{"date-parts":[[2020,7,9]],"date-time":"2020-07-09T02:12:49Z","timestamp":1594260769000},"page":"5288-5290","source":"Crossref","is-referenced-by-count":1,"title":["Decision Platform for Pattern Discovery and Causal Effect Estimation in Contraceptive Discontinuation"],"prefix":"10.24963","author":[{"given":"Celia","family":"Cintas","sequence":"first","affiliation":[{"name":"IBM Research Africa"}]},{"given":"Ramya","family":"Raghavendra","sequence":"additional","affiliation":[{"name":"IBM T. J. Watson Research Center"}]},{"given":"Victor","family":"Akinwande","sequence":"additional","affiliation":[{"name":"IBM Research Africa"}]},{"given":"Aisha","family":"Walcott-Bryant","sequence":"additional","affiliation":[{"name":"IBM Research Africa"}]},{"given":"Charity","family":"Wayua","sequence":"additional","affiliation":[{"name":"IBM Research Africa"}]},{"given":"Komminist","family":"Weldemariam","sequence":"additional","affiliation":[{"name":"IBM Research Africa"}]}],"member":"10584","event":{"number":"28","sponsor":["International Joint Conferences on Artificial Intelligence Organization (IJCAI)"],"acronym":"IJCAI-PRICAI-2020","name":"Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}","start":{"date-parts":[[2020,7,11]]},"theme":"Artificial Intelligence","location":"Yokohama, Japan","end":{"date-parts":[[2020,7,17]]}},"container-title":["Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence"],"original-title":[],"deposited":{"date-parts":[[2020,7,9]],"date-time":"2020-07-09T02:17:08Z","timestamp":1594261028000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.ijcai.org\/proceedings\/2020\/772"}},"subtitle":[],"proceedings-subject":"Artificial Intelligence Research Articles","short-title":[],"issued":{"date-parts":[[2020,7]]},"references-count":0,"URL":"https:\/\/doi.org\/10.24963\/ijcai.2020\/772","relation":{},"subject":[],"published":{"date-parts":[[2020,7]]}}}