{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T17:38:10Z","timestamp":1743010690470,"version":"3.40.3"},"publisher-location":"Cham","reference-count":16,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783031160134"},{"type":"electronic","value":"9783031160141"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022]]},"DOI":"10.1007\/978-3-031-16014-1_60","type":"book-chapter","created":{"date-parts":[[2022,9,20]],"date-time":"2022-09-20T23:03:09Z","timestamp":1663714989000},"page":"768-780","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Medical Prescription Recognition Using Heuristic Clustering and\u00a0Similarity Search"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0252-6519","authenticated-orcid":false,"given":"Ngoc-Thao","family":"Nguyen","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1260-021X","authenticated-orcid":false,"given":"Hieu","family":"Vo","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0409-1304","authenticated-orcid":false,"given":"Khanh","family":"Tran","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2077-0435","authenticated-orcid":false,"given":"Duy","family":"Ha","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2088-6000","authenticated-orcid":false,"given":"Duc","family":"Nguyen","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2180-4222","authenticated-orcid":false,"given":"Thanh","family":"Le","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,9,21]]},"reference":[{"key":"60_CR1","doi-asserted-by":"crossref","unstructured":"Hillestad, R., et al.: Health information technology: can HIT lower costs and improve quality? Santa Monica, CA: RAND Corporation; 2005. RB-9136-HLTH. RAND Corporation research briefs (2005)","DOI":"10.7249\/RB9136"},{"issue":"e1","key":"60_CR2","doi-asserted-by":"publisher","first-page":"e56","DOI":"10.1136\/ejhpharm-2020-002298","volume":"28","author":"A Mulac","year":"2021","unstructured":"Mulac, A., Taxis, K., Hagesaether, E., Granas, A.G.: Severe and fatal medication errors in hospitals: findings from the Norwegian Incident Reporting System. Eur. J. Hosp. Pharm. 28(e1), e56\u2013e61 (2021)","journal-title":"Eur. J. Hosp. Pharm."},{"key":"60_CR3","doi-asserted-by":"publisher","unstructured":"Nguyen, T.T., Nguyen, D.V.V., Le, T.: Developing a prescription recognition system based on CRAFT and tesseract. In: International Conference on Computational Collective Intelligence, pp. 443\u2013455. Springer, Cham, September 2021. https:\/\/doi.org\/10.1007\/978-3-030-88081-1_33","DOI":"10.1007\/978-3-030-88081-1_33"},{"key":"60_CR4","doi-asserted-by":"crossref","unstructured":"Long, J., Shelhamer, E., Darrell, T.: Fully convolutional networks for semantic segmentation. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 3431\u20133440 (2015)","DOI":"10.1109\/CVPR.2015.7298965"},{"issue":"7","key":"60_CR5","doi-asserted-by":"publisher","first-page":"1480","DOI":"10.1109\/TPAMI.2014.2366765","volume":"37","author":"Q Ye","year":"2014","unstructured":"Ye, Q., Doermann, D.: Text detection and recognition in imagery: a survey. IEEE Trans. Pattern Anal. Mach. Intell. 37(7), 1480\u20131500 (2014)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"60_CR6","doi-asserted-by":"publisher","unstructured":"Tian, Z., Huang, W., He, T., He, P., Qiao, Y.: Detecting text in natural image with connectionist text proposal network. In: European Conference on Computer Vision, pp. 56\u201372. Springer, Cham, October 2016. https:\/\/doi.org\/10.1007\/978-3-319-46484-8_4","DOI":"10.1007\/978-3-319-46484-8_4"},{"key":"60_CR7","doi-asserted-by":"crossref","unstructured":"Baek, Y., Lee, B., Han, D., Yun, S., Lee, H.: Character region awareness for text detection. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 9365\u20139374 (2019)","DOI":"10.1109\/CVPR.2019.00959"},{"key":"60_CR8","doi-asserted-by":"crossref","unstructured":"Zhou, X., et al.: East: an efficient and accurate scene text detector. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 5551\u20135560 (2017)","DOI":"10.1109\/CVPR.2017.283"},{"issue":"6","key":"60_CR9","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3453476","volume":"54","author":"TTH Nguyen","year":"2021","unstructured":"Nguyen, T.T.H., Jatowt, A., Coustaty, M., Doucet, A.: Survey of post-OCR processing approaches. ACM Comput. Surv. (CSUR) 54(6), 1\u201337 (2021)","journal-title":"ACM Comput. Surv. (CSUR)"},{"key":"60_CR10","doi-asserted-by":"crossref","unstructured":"Shi, B., Bai, X., Belongie, S.: Detecting oriented text in natural images by linking segments. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 2550\u20132558 (2017)","DOI":"10.1109\/CVPR.2017.371"},{"key":"60_CR11","doi-asserted-by":"crossref","unstructured":"Thompson, P., McNaught, J., Ananiadou, S.: Customised OCR correction for historical medical text. In: 2015 Digital Heritage, vol. 1, pp. 35\u201342. IEEE, September 2015","DOI":"10.1109\/DigitalHeritage.2015.7413829"},{"key":"60_CR12","unstructured":"Singh, S.: Natural language processing for information extraction. arXiv preprint arXiv:1807.02383 (2018)"},{"key":"60_CR13","doi-asserted-by":"crossref","unstructured":"Huang, Z., et al.: ICDAR 2019 competition on scanned receipt OCR and information extraction. In: 2019 International Conference on Document Analysis and Recognition (ICDAR), pp. 1516\u20131520. IEEE, September 2019","DOI":"10.1109\/ICDAR.2019.00244"},{"key":"60_CR14","doi-asserted-by":"crossref","unstructured":"Ma, X., Hovy, E.: End-to-end sequence labeling via bi-directional LSTM-CNNS-CRF. arXiv preprint arXiv:1603.01354 (2016)","DOI":"10.18653\/v1\/P16-1101"},{"issue":"4","key":"60_CR15","doi-asserted-by":"publisher","first-page":"824","DOI":"10.1109\/TPAMI.2018.2889473","volume":"42","author":"YA Malkov","year":"2018","unstructured":"Malkov, Y.A., Yashunin, D.A.: Efficient and robust approximate nearest neighbor search using hierarchical navigable small world graphs. IEEE Trans. Pattern Anal. Mach. Intell. 42(4), 824\u2013836 (2018)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"60_CR16","doi-asserted-by":"crossref","unstructured":"Tenney, I., Das, D., Pavlick, E.: BERT rediscovers the classical NLP pipeline. arXiv preprint arXiv:1905.05950 (2019)","DOI":"10.18653\/v1\/P19-1452"}],"container-title":["Lecture Notes in Computer Science","Computational Collective Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-16014-1_60","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,3,9]],"date-time":"2023-03-09T12:14:07Z","timestamp":1678364047000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-16014-1_60"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031160134","9783031160141"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-16014-1_60","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"21 September 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}