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BioMed Research International
Volume 2018 (2018), Article ID 6217812, 7 pages
https://doi.org/10.1155/2018/6217812
Review Article

How Artificial Intelligence Can Improve Our Understanding of the Genes Associated with Endometriosis: Natural Language Processing of the PubMed Database

1Department of Obstetrics and Gynecology, The Chaim Sheba Medical Center, Ramat Gan, Israel
2Artichoc Institue, 5 Alkalay, Tel Aviv, Israel
3Department of Ophthalmology, Ichilov Hospital, Tel Aviv, Israel

Correspondence should be addressed to J. Bouaziz; moc.liamg@zizauobemorej.rd

Received 15 December 2017; Accepted 15 February 2018; Published 20 March 2018

Academic Editor: Marco Scioscia

Copyright © 2018 J. Bouaziz et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

J. Bouaziz, R. Mashiach, S. Cohen, et al., “How Artificial Intelligence Can Improve Our Understanding of the Genes Associated with Endometriosis: Natural Language Processing of the PubMed Database,” BioMed Research International, vol. 2018, Article ID 6217812, 7 pages, 2018. doi:10.1155/2018/6217812