{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T10:05:05Z","timestamp":1743069905816,"version":"3.40.3"},"publisher-location":"Cham","reference-count":31,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030619503"},{"type":"electronic","value":"9783030619510"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-3-030-61951-0_1","type":"book-chapter","created":{"date-parts":[[2020,10,16]],"date-time":"2020-10-16T16:03:13Z","timestamp":1602864193000},"page":"3-14","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Making Sense of Violence Risk Predictions Using Clinical Notes"],"prefix":"10.1007","author":[{"given":"Pablo","family":"Mosteiro","sequence":"first","affiliation":[]},{"given":"Emil","family":"Rijcken","sequence":"additional","affiliation":[]},{"given":"Kalliopi","family":"Zervanou","sequence":"additional","affiliation":[]},{"given":"Uzay","family":"Kaymak","sequence":"additional","affiliation":[]},{"given":"Floortje","family":"Scheepers","sequence":"additional","affiliation":[]},{"given":"Marco","family":"Spruit","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,10,17]]},"reference":[{"issue":"2","key":"1_CR1","first-page":"86","volume":"25","author":"A Abbe","year":"2016","unstructured":"Abbe, A., Grouin, C., Zweigenbaum, P., Falissard, B.: Text mining applications in psychiatry: a systematic literature review. MPR 25(2), 86\u2013100 (2016)","journal-title":"MPR"},{"issue":"12","key":"1_CR2","doi-asserted-by":"publisher","first-page":"1284","DOI":"10.1177\/088626000015012003","volume":"15","author":"R Almvik","year":"2000","unstructured":"Almvik, R., Woods, P., Rasmussen, K.: The Br\u00f8set violence checklist: sensitivity, specificity, and interrater reliability. J. Interpers. Violence 15(12), 1284\u20131296 (2000)","journal-title":"J. Interpers. Violence"},{"key":"1_CR3","unstructured":"Bird, S., Klein, E., Loper, E.: Natural Language Processing with Python: Analyzing Text with the Natural Language Toolkit. https:\/\/www.nltk.org\/book\/"},{"key":"1_CR4","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1023\/A:1010933404324","volume":"45","author":"L Breiman","year":"2001","unstructured":"Breiman, L.: Random forests. Mach. Learn. 45, 5\u201332 (2001)","journal-title":"Mach. Learn."},{"issue":"1","key":"1_CR5","doi-asserted-by":"publisher","first-page":"37","DOI":"10.1177\/001316446002000104","volume":"20","author":"J Cohen","year":"1960","unstructured":"Cohen, J.: A coefficient of agreement for nominal scales. Educ. Psychol. Meas. 20(1), 37\u201346 (1960)","journal-title":"Educ. Psychol. Meas."},{"issue":"1","key":"1_CR6","doi-asserted-by":"publisher","first-page":"256","DOI":"10.1037\/a0030163","volume":"122","author":"KR Conner","year":"2012","unstructured":"Conner, K.R., et al.: Mental disorder comorbidity and suicide among 2.96 million men receiving care in the veterans health administration health system. J. Abnorm. Psychol. 122(1), 256\u2013263 (2012)","journal-title":"J. Abnorm. Psychol."},{"key":"1_CR7","doi-asserted-by":"crossref","unstructured":"Cook, B.L., Progovac, A.M., Chen, P., Mullin, B., Hou, S., Baca-Garcia, E.: Novel use of natural language processing (NLP) to predict suicidal ideation and psychiatric symptoms in a text-based mental health intervention in Madrid. Comput. Math. Methods Med. 2016, 8708434 (2016)","DOI":"10.1155\/2016\/8708434"},{"issue":"3","key":"1_CR8","first-page":"273","volume":"20","author":"C Cortes","year":"1995","unstructured":"Cortes, C., Vapnik, V.: Support-vector networks. Mach. Learn. 20(3), 273\u2013297 (1995)","journal-title":"Mach. Learn."},{"issue":"3","key":"1_CR9","doi-asserted-by":"publisher","first-page":"155","DOI":"10.1097\/00005053-198303000-00004","volume":"171","author":"S Friedman","year":"1983","unstructured":"Friedman, S., Margolis, R., David, O.J., Kesselman, M.: Predicting psychiatric admission from an emergency room. J. Nerv. Ment. Dis. 171(3), 155\u2013158 (1983)","journal-title":"J. Nerv. Ment. Dis."},{"issue":"6","key":"1_CR10","first-page":"1069","volume":"21","author":"SH Huang","year":"2014","unstructured":"Huang, S.H., LePendu, P., Iyer, S.V., Tai-Seale, M., Carrell, D., Shah, N.H.: Toward personalizing treatment for depression: predicting diagnosis and severity. JAMIA 21(6), 1069\u20131075 (2014)","journal-title":"JAMIA"},{"key":"1_CR11","doi-asserted-by":"publisher","first-page":"29","DOI":"10.1111\/j.1440-1819.2006.01457.x","volume":"60","author":"M Inoue","year":"2006","unstructured":"Inoue, M., Tsukano, K., Muraoka, M., Kaneko, F., Okamura, H.: Psychological impact of verbal abuse and violence by patients on nurses working in psychiatric departments. Psychiatry Clin. Neurosci. 60, 29\u201336 (2006)","journal-title":"Psychiatry Clin. Neurosci."},{"key":"1_CR12","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-32-9721-0","volume-title":"Frontiers in Psychiatry: Artificial Intelligence, Precision Medicine, and Other Paradigm Shifts","year":"2019","unstructured":"Kim, Y.K. (ed.): Frontiers in Psychiatry: Artificial Intelligence, Precision Medicine, and Other Paradigm Shifts. Springer, Singapore (2019). https:\/\/doi.org\/10.1007\/978-981-32-9721-0"},{"key":"1_CR13","unstructured":"Le, Q., Mikolov, T.: Distributed representations of sentences and documents. In: ICML 2014, Beijing, China, pp. 1188\u20131196. PMLR (2014)"},{"issue":"5","key":"1_CR14","doi-asserted-by":"publisher","first-page":"581","DOI":"10.1080\/14789949.2015.1012533","volume":"28","author":"M van Leeuwen","year":"2017","unstructured":"van Leeuwen, M., Harte, J.: Violence against mental health care professionals: prevalence, nature and consequences. J. Forensic Psychiatry Psychol. 28(5), 581\u2013598 (2017)","journal-title":"J. Forensic Psychiatry Psychol."},{"issue":"8","key":"1_CR15","doi-asserted-by":"publisher","first-page":"792","DOI":"10.1097\/00005650-199708000-00005","volume":"35","author":"JS Lyons","year":"1997","unstructured":"Lyons, J.S., Stutesman, J., Neme, J., Vessey, J.T., O\u2019Mahoney, M.T., Camper, H.J.: Predicting psychiatric emergency admissions and hospital outcome. Medical care 35(8), 792\u2013800 (1997)","journal-title":"Medical care"},{"key":"1_CR16","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511809071","volume-title":"Introduction to Information Retrieval","author":"C Manning","year":"2008","unstructured":"Manning, C., Raghavan, P., Sch\u00fctze, H.: Introduction to Information Retrieval. Cambridge University Press, Cambridge (2008)"},{"issue":"6","key":"1_CR17","doi-asserted-by":"publisher","first-page":"981","DOI":"10.3390\/app8060981","volume":"8","author":"V Menger","year":"2018","unstructured":"Menger, V., Scheepers, F., Spruit, M.: Comparing deep learning and classical machine learning approaches for predicting inpatient violence incidents from clinical text. Appl. Sci. 8(6), 981 (2018)","journal-title":"Appl. Sci."},{"issue":"4","key":"1_CR18","doi-asserted-by":"publisher","first-page":"727","DOI":"10.1016\/j.tele.2017.08.002","volume":"35","author":"V Menger","year":"2018","unstructured":"Menger, V., Scheepers, F., van Wijk, L., Spruit, M.: DEDUCE: a pattern matching method for automatic de-identification of Dutch medical text. Telemat. Inform. 35(4), 727\u2013736 (2018)","journal-title":"Telemat. Inform."},{"issue":"7","key":"1_CR19","doi-asserted-by":"publisher","first-page":"e196709","DOI":"10.1001\/jamanetworkopen.2019.6709","volume":"2","author":"V Menger","year":"2019","unstructured":"Menger, V., Spruit, M., van Est, R., Nap, E., Scheepers, F.: Machine learning approach to inpatient violence risk assessment using routinely collected clinical notes in electronic health records. JAMA Netw. Open 2(7), e196709 (2019)","journal-title":"JAMA Netw. Open"},{"issue":"3","key":"1_CR20","doi-asserted-by":"publisher","first-page":"217","DOI":"10.1002\/ab.20038","volume":"31","author":"H Nijman","year":"2005","unstructured":"Nijman, H., Bowers, L., Oud, N., Jansen, G.: Psychiatric nurses\u2019 experiences with inpatient aggression. Aggress. Behav. 31(3), 217\u2013227 (2005)","journal-title":"Aggress. Behav."},{"key":"1_CR21","doi-asserted-by":"crossref","unstructured":"Poulin, C., et al.: Predicting the risk of suicide by analyzing the text of clinical notes. PLoS ONE 9(3), e91602 (2014)","DOI":"10.1371\/journal.pone.0091602"},{"key":"1_CR22","unstructured":"\u0158eh\u016f\u0159ek, R., Sojka, P.: Software framework for topic modelling with large corpora. In: Proceedings of LREC 2010 Workshop on New Challenges for NLP Frameworks, pp. 45\u201350. University of Malta, Valletta, Malta (2010)"},{"issue":"3","key":"1_CR23","doi-asserted-by":"publisher","first-page":"1","DOI":"10.4018\/IJEHMC.2015070101","volume":"6","author":"R Rijo","year":"2015","unstructured":"Rijo, R., Martinho, R., Pereira, L., Silva, C.: Text mining applied to electronic medical records. Int. J. E-Health Med. Commun. 6(3), 1\u201318 (2015)","journal-title":"Int. J. E-Health Med. Commun."},{"key":"1_CR24","volume-title":"Information Retrieval","author":"CJ van Rijsbergen","year":"1979","unstructured":"van Rijsbergen, C.J.: Information Retrieval, 2nd edn. Butterworth-Heinemann, Oxford (1979)","edition":"2"},{"key":"1_CR25","doi-asserted-by":"publisher","first-page":"e921","DOI":"10.1038\/tp.2015.182","volume":"6","author":"A Rumshisky","year":"2016","unstructured":"Rumshisky, A., et al.: Predicting early psychiatric readmission with natural language processing of narrative discharge summaries. Transl. Psychiatry 6, e921 (2016)","journal-title":"Transl. Psychiatry"},{"issue":"3","key":"1_CR26","doi-asserted-by":"publisher","first-page":"e0118432","DOI":"10.1371\/journal.pone.0118432","volume":"10","author":"T Saito","year":"2015","unstructured":"Saito, T., Rehmsmeier, M.: The precision-recall plot is more informative than the ROC plot when evaluating binary classifiers on imbalanced datasets. PLoS ONE 10(3), e0118432 (2015)","journal-title":"PLoS ONE"},{"issue":"3","key":"1_CR27","doi-asserted-by":"publisher","first-page":"193","DOI":"10.1080\/14999013.2014.922141","volume":"13","author":"JP Singh","year":"2014","unstructured":"Singh, J.P., et al.: International perspectives on the practical application of violence risk assessment: a global survey of 44 countries. Int. J. Forensic Ment. Health 13(3), 193\u2013206 (2014)","journal-title":"Int. J. Forensic Ment. Health"},{"key":"1_CR28","doi-asserted-by":"publisher","first-page":"217","DOI":"10.1016\/j.psychres.2018.07.004","volume":"268","author":"R Suchting","year":"2018","unstructured":"Suchting, R., Green, C.E., Glazier, S.M., Lane, S.D.: A data science approach to predicting patient aggressive events in a psychiatric hospital. Psychiatry Res. 268, 217\u2013222 (2018)","journal-title":"Psychiatry Res."},{"key":"1_CR29","doi-asserted-by":"crossref","unstructured":"Syed, S., Spruit, M.R.: Full-text or abstract? Examining topic coherence scores using latent Dirichlet allocation. In: DSAA2017, pp. 165\u2013174 (2017)","DOI":"10.1109\/DSAA.2017.61"},{"key":"1_CR30","doi-asserted-by":"publisher","first-page":"34","DOI":"10.1016\/j.jbi.2017.11.011","volume":"77","author":"Y Wang","year":"2018","unstructured":"Wang, Y., Wang, L., Rastegar-Mojarad, M., Moon, S., Shen, F., Afzal, N., Liu, S., Zeng, Y., Mehrabi, S., Sohn, S., Liu, H.: Clinical information extraction applications: a literature review. J. Biomed. Inform. 77, 34\u201349 (2018)","journal-title":"J. Biomed. Inform."},{"key":"1_CR31","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-33617-2","volume-title":"Intelligent Data Engineering and Automated Learning \u2013 IDEAL 2019","year":"2019","unstructured":"Yin, H., Camacho, D., Tino, P., Tall\u00f3n-Ballesteros, A.J., Menezes, R., Allmendinger, R. (eds.): IDEAL 2019. LNCS, vol. 11872. Springer, Cham (2019). https:\/\/doi.org\/10.1007\/978-3-030-33617-2"}],"container-title":["Lecture Notes in Computer Science","Health Information Science"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-61951-0_1","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,13]],"date-time":"2024-03-13T18:23:33Z","timestamp":1710354213000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-61951-0_1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030619503","9783030619510"],"references-count":31,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-61951-0_1","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"17 October 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"HIS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Health Information Science","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Amsterdam","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"The Netherlands","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20 October 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23 October 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"9","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"his22020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/wasp.cs.vu.nl\/HIS2020\/index.html","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"62","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"11","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"6","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"18% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"5","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}