Joeky Senders

141 Comparing NLP methods 18. Lacson R, Andriole KP, Prevedello LM, Khorasani R. Information from Searching Content with an Ontology- Utilizing Toolkit (iSCOUT). J Digit Imaging . 2012;25(4):512-519. doi:10.1007/s10278-012-9463-9 19. Carrell DS, Halgrim S, Tran D-T, et al. Using Natural Language Processing to Improve Efficiency of Manual Chart Abstraction in Research: The Case of Breast Cancer Recurrence. Am J Epidemiol . 2014;179(6):749-758. doi:10.1093/aje/kwt441 20. Sippo DA, Warden GI, Andriole KP, et al. Automated Extraction of BI-RADS Final Assessment Categories fromRadiology Reports with Natural Language Processing. J Digit Imaging . 2013;26(5):989-994. doi:10.1007/ s10278-013-9616-5 21. Farjah F, Halgrim S, Buist DSM, et al. An Automated Method for Identifying Individuals with a Lung Nodule Can Be Feasibly Implemented Across Health Systems. EGEMS (Wash DC) . 2016;4(1). doi:10.13063/2327- 9214.1254 22. Danforth KN, Early MI, Ngan S, Kosco AE, Zheng C, Gould MK. Automated Identification of Patients With Pulmonary Nodules in an Integrated Health System Using Administrative Health Plan Data, Radiology Reports, and Natural Language Processing. Journal of Thoracic Oncology . 2012;7(8):1257-1262. doi:10.1097/ JTO.0b013e31825bd9f5 23. Wadia R, Akgun K, Brandt C, et al. Comparison of Natural Language Processing and Manual Coding for the Identification of Cross-Sectional Imaging Reports Suspicious for Lung Cancer. JCO Clinical Cancer Informatics . 2018;(2):1-7. doi:10.1200/CCI.17.00069 24. Pershad Y, Govindan S, Hara AK, et al. Using Naïve Bayesian Analysis to Determine Imaging Characteristics of KRAS Mutations in Metastatic Colon Cancer. Diagnostics . 2017;7(3):50. doi:10.3390/diagnostics7030050 25. Sevenster M, Bozeman J, Cowhy A, Trost W. Automatically Pairing Measured Findings across Narrative Abdomen CT Reports. AMIA Annu Symp Proc . 2013;2013:1262-1271. 26. Glaser AP, Jordan BJ, Cohen J, Desai A, Silberman P, Meeks JJ. Automated Extraction of Grade, Stage, and Quality Information From Transurethral Resection of Bladder Tumor Pathology Reports Using Natural Language Processing. JCO Clinical Cancer Informatics . 2018;(2):1-8. doi:10.1200/CCI.17.00128 27. Gregg JR, Lang M, Wang LL, et al. Automating the Determination of Prostate Cancer Risk Strata From Electronic Medical Records. JCO Clinical Cancer Informatics . 2017;(1):1-8. doi:10.1200/CCI.16.00045 28. Valizadegan H, Nguyen Q, Hauskrecht M. Learning Classification Models from Multiple Experts. J Biomed Inform . 2013;46(6):1125-1135. doi:10.1016/j.jbi.2013.08.007 29. Deo RC. Machine Learning in Medicine. Circulation . 2015;132(20):1920-1930. doi:10.1161/ CIRCULATIONAHA.115.001593 30. Wulff HR. The language of medicine. J R Soc Med . 2004;97(4):187-188. 31. Ranstam J, Cook JA. LASSO regression. BJS . 2018;105(10):1348-1348. doi:10.1002/bjs.10895 32. Rios A, Kavuluru R. Convolutional Neural Networks for Biomedical Text Classification: Application in Indexing Biomedical Articles. ACM BCB . 2015;2015:258-267. doi:10.1145/2808719.2808746 33. Gehrmann S, Dernoncourt F, Li Y, et al. Comparing deep learning and concept extraction based methods for patient phenotyping from clinical narratives. PLoS One . 2018;13(2). doi:10.1371/journal.pone.0192360 34. Geraci J, Wilansky P, de Luca V, Roy A, Kennedy JL, Strauss J. Applying deep neural networks to unstructured text notes in electronic medical records for phenotyping youth depression. Evid Based Ment Health . 2017;20(3):83-87. doi:10.1136/eb-2017-102688