Predicting mental conditions based on “history of present illness” in psychiatric notes with deep neural networks (English)
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In:
Journal of Biomedical Informatics
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75
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S138-S148
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2017
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ISSN:
- Article (Journal) / Electronic Resource
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Title:Predicting mental conditions based on “history of present illness” in psychiatric notes with deep neural networks
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Contributors:Tran, Tung ( author ) / Kavuluru, Ramakanth ( author )
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Published in:Journal of Biomedical Informatics ; 75 ; S138-S148
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Publication date:2017-06-06
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ISSN:
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DOI:
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Type of media:Article (Journal)
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Type of material:Electronic Resource
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Language:English
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Keywords:
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Source:
Table of contents – Volume 75
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
- 1
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Computer technologies to integrate medical treatments to manage multimorbidityRiaño, David / Ortega, Wilfrido et al. | 2017
- 14
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Evaluating performance of early warning indices to predict physiological instabilitiesScully, Christopher G. / Daluwatte, Chathuri et al. | 2017
- 22
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Next generation terminology infrastructure to support interprofessional care planningCollins, Sarah / Klinkenberg-Ramirez, Stephanie / Tsivkin, Kira / Mar, Perry L. / Iskhakova, Dina / Nandigam, Hari / Samal, Lipika / Rocha, Roberto A. et al. | 2017
- 35
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Identifying prescription patterns with a topic model of diseases and medicationsPark, Sungrae / Choi, Doosup / Kim, Minki / Cha, Wonchul / Kim, Chuhyun / Moon, Il-Chul et al. | 2017
- 48
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Virtual interactive suturing for the Fundamentals of Laparoscopic Surgery (FLS)Qi, Di / Panneerselvam, Karthikeyan / Ahn, Woojin / Arikatla, Venkata / Enquobahrie, Andinet / De, Suvranu et al. | 2017
- 63
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Computational prediction of therapeutic peptides based on graph indexXu, Chunrui / Ge, Li / Zhang, Yusen / Dehmer, Matthias / Gutman, Ivan et al. | 2017
- 70
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Procedure prediction from symbolic Electronic Health Records via time intervals analyticsMoskovitch, Robert / Polubriaginof, Fernanda / Weiss, Aviram / Ryan, Patrick / Tatonetti, Nicholas et al. | 2017
- 83
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Consistent discovery of frequent interval-based temporal patterns in chronic patients’ dataShknevsky, Alexander / Shahar, Yuval / Moskovitch, Robert et al. | 2017
- 96
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Detecting clinically related content in online patient postsVanDam, Courtland / Kanthawala, Shaheen / Pratt, Wanda / Chai, Joyce / Huh, Jina et al. | 2017
- 107
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The ranking of scientists based on scientific publications assessmentZerem, Enver et al. | 2017
- 110
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Simplifying the use of pharmacogenomics in clinical practice: Building the genomic prescribing systemDanahey, Keith / Borden, Brittany A. / Furner, Brian / Yukman, Patrick / Hussain, Sheena / Saner, Donald / Volchenboum, Samuel L. / Ratain, Mark J. / O'Donnell, Peter H. et al. | 2017
- 122
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Bridging the gap: Incorporating a semantic similarity measure for effectively mapping PubMed queries to documentsKim, Sun / Fiorini, Nicolas / Wilbur, W. John / Lu, Zhiyong et al. | 2017
- 128
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The ranking of scientists based on citationsMD, MSc Bates, David W. et al. | 2017
- 129
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Evaluating the granularity balance of hierarchical relationships within large biomedical terminologies towards quality improvementLuo, Lingyun / Tong, Ling / Zhou, Xiaoxi / Mejino, Jose L.V. Jr / Ouyang, Chunping / Liu, Yongbin et al. | 2017
- i
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fmi-ii: Table of Contents| 2017
- IFC
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Cover 2: Editorial Board| 2017
- OFC
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Cover 1/Spine| 2017
- S1
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A natural language processing challenge for clinical records: Research Domains Criteria (RDoC) for psychiatryUzuner, Özlem / Stubbs, Amber / Filannino, Michele et al. | 2017
- S4
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De-identification of psychiatric intake records: Overview of 2016 CEGS N-GRID shared tasks Track 1Stubbs, Amber / Filannino, Michele / Uzuner, Özlem et al. | 2017
- S19
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A hybrid approach to automatic de-identification of psychiatric notesLee, Hee-Jin / Wu, Yonghui / Zhang, Yaoyun / Xu, Jun / Xu, Hua / Roberts, Kirk et al. | 2017
- S28
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Learning to identify Protected Health Information by integrating knowledge- and data-driven algorithms: A case study on psychiatric evaluation notesDehghan, Azad / Kovacevic, Aleksandar / Karystianis, George / Keane, John A / Nenadic, Goran et al. | 2017
- S34
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De-identification of clinical notes via recurrent neural network and conditional random fieldLiu, Zengjian / Tang, Buzhou / Wang, Xiaolong / Chen, Qingcai et al. | 2017
- S43
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De-identification of medical records using conditional random fields and long short-term memory networksJiang, Zhipeng / Zhao, Chao / He, Bin / Guan, Yi / Jiang, Jingchi et al. | 2017
- S54
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The UAB Informatics Institute and 2016 CEGS N-GRID de-identification shared task challengeBui, Duy Duc An / Wyatt, Mathew / Cimino, James J. et al. | 2017
- S62
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Symptom severity prediction from neuropsychiatric clinical records: Overview of 2016 CEGS N-GRID shared tasks Track 2Filannino, Michele / Stubbs, Amber / Uzuner, Özlem et al. | 2017
- S71
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Automatic recognition of symptom severity from psychiatric evaluation recordsGoodwin, Travis R. / Maldonado, Ramon / Harabagiu, Sanda M. et al. | 2017
- S85
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Ordinal convolutional neural networks for predicting RDoC positive valence psychiatric symptom severity scoresRios, Anthony / Kavuluru, Ramakanth et al. | 2017
- S94
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Predictive modeling for classification of positive valence system symptom severity from initial psychiatric evaluation recordsPosada, Jose D. / Barda, Amie J. / Shi, Lingyun / Xue, Diyang / Ruiz, Victor / Kuan, Pei-Han / Ryan, Neal D. / Tsui, Fuchiang (Rich) et al. | 2017
- S105
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Symptom severity classification with gradient tree boostingLiu, Yang / Gu, Yu / Nguyen, John Chu / Li, Haodan / Zhang, Jiawei / Gao, Yuan / Huang, Yang et al. | 2017
- S112
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Counting trees in Random Forests: Predicting symptom severity in psychiatric intake reportsScheurwegs, Elyne / Sushil, Madhumita / Tulkens, Stéphan / Daelemans, Walter / Luyckx, Kim et al. | 2017
- S120
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Automatic classification of RDoC positive valence severity with a neural networkClark, Cheryl / Wellner, Ben / Davis, Rachel / Aberdeen, John / Hirschman, Lynette et al. | 2017
- S129
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Psychiatric symptom recognition without labeled data using distributional representations of phrases and on-line knowledgeZhang, Yaoyun / Zhang, Olivia / Wu, Yonghui / Lee, Hee-Jin / Xu, Jun / Xu, Hua / Roberts, Kirk et al. | 2017
- S138
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Predicting mental conditions based on “history of present illness” in psychiatric notes with deep neural networksTran, Tung / Kavuluru, Ramakanth et al. | 2017
- S149
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Exploring associations of clinical and social parameters with violent behaviors among psychiatric patientsDai, Hong-Jie / Su, Emily Chia-Yu / Uddin, Mohy / Jonnagaddala, Jitendra / Wu, Chi-Shin / Syed-Abdul, Shabbir et al. | 2017