메뉴 건너뛰기




Volumn 75, Issue , 2017, Pages S138-S148

Predicting mental conditions based on “history of present illness” in psychiatric notes with deep neural networks

Author keywords

Convolutional and recurrent neural networks; Hierarchical attention networks; Multi label text classification; Psychiatric condition prediction

Indexed keywords

CLASSIFICATION (OF INFORMATION); CONVOLUTION; DISEASES; FORECASTING; NATURAL LANGUAGE PROCESSING SYSTEMS; RECURRENT NEURAL NETWORKS; TEXT PROCESSING;

EID: 85021835221     PISSN: 15320464     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jbi.2017.06.010     Document Type: Article
Times cited : (73)

References (43)
  • 1
    • 85034988117 scopus 로고    scopus 로고
    • Martín Abadi, Ashish Agarwal, Paul Barham, Eugene Brevdo, Zhifeng Chen, Craig Citro, Greg S. Corrado, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Ian Goodfellow, Andrew Harp, Geoffrey Irving, Michael Isard, Yangqing Jia, Rafal Jozefowicz, Lukasz Kaiser, Manjunath Kudlur, Josh Levenberg, Dan Mané, Rajat Monga, Sherry Moore, Derek Murray, Chris Olah, Mike Schuster, Jonathon Shlens, Benoit Steiner, Ilya Sutskever, Kunal Talwar, Paul Tucker, Vincent Vanhoucke, Vijay Vasudevan, Fernanda Viégas, Oriol Vinyals, Pete Warden, Martin Wattenberg, Martin Wicke, Yuan Yu, Xiaoqiang Zheng, TensorFlow: Large-scale Machine Learning on Heterogeneous Systems. Software available from <>.
    • Martín Abadi, Ashish Agarwal, Paul Barham, Eugene Brevdo, Zhifeng Chen, Craig Citro, Greg S. Corrado, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Ian Goodfellow, Andrew Harp, Geoffrey Irving, Michael Isard, Yangqing Jia, Rafal Jozefowicz, Lukasz Kaiser, Manjunath Kudlur, Josh Levenberg, Dan Mané, Rajat Monga, Sherry Moore, Derek Murray, Chris Olah, Mike Schuster, Jonathon Shlens, Benoit Steiner, Ilya Sutskever, Kunal Talwar, Paul Tucker, Vincent Vanhoucke, Vijay Vasudevan, Fernanda Viégas, Oriol Vinyals, Pete Warden, Martin Wattenberg, Martin Wicke, Yuan Yu, Xiaoqiang Zheng, TensorFlow: Large-scale Machine Learning on Heterogeneous Systems, 2015. Software available from < http://tensorflow.org/>.
    • (2015)
  • 3
    • 77955287813 scopus 로고    scopus 로고
    • An overview of MetaMap: historical perspective and recent advances
    • Aronson, Alan R., Lang, François-Michel, An overview of MetaMap: historical perspective and recent advances. J. Am. Med. Inform. Assoc. 17:3 (2010), 229–236.
    • (2010) J. Am. Med. Inform. Assoc. , vol.17 , Issue.3 , pp. 229-236
    • Aronson, A.R.1    Lang, F.-M.2
  • 4
    • 85035062155 scopus 로고    scopus 로고
    • Dzmitry Bahdanau, Kyunghyun Cho, Yoshua Bengio, Neural Machine Translation by Jointly Learning to Align and Translate. arXiv preprint Available from: <>.
    • Dzmitry Bahdanau, Kyunghyun Cho, Yoshua Bengio, Neural Machine Translation by Jointly Learning to Align and Translate, 2014. arXiv preprint Available from: < arXiv:1409.0473>.
    • (2014)
  • 6
    • 85021693604 scopus 로고    scopus 로고
    • Adrian Benton, Margaret Mitchell, Dirk Hovy, Multitask learning for mental health conditions with limited social media data, in: Proceedings of the 15th Conference of the EACL, Long Papers
    • Adrian Benton, Margaret Mitchell, Dirk Hovy, Multitask learning for mental health conditions with limited social media data, in: Proceedings of the 15th Conference of the EACL, Long Papers, vol. 1, 2017, pp. 152–162.
    • (2017) , vol.1 , pp. 152-162
  • 7
    • 85035057367 scopus 로고    scopus 로고
    • James Bergstra, Olivier Breuleux, Frédéric Bastien, Pascal Lamblin, Razvan Pascanu, Guillaume Desjardins, Joseph Turian, David Warde-Farley, Yoshua Bengio, Theano: a CPU and GPU math expression compiler, in: Proceedings of the Python for Scientific Computing Conference (SciPy), Oral Presentation, June
    • James Bergstra, Olivier Breuleux, Frédéric Bastien, Pascal Lamblin, Razvan Pascanu, Guillaume Desjardins, Joseph Turian, David Warde-Farley, Yoshua Bengio, Theano: a CPU and GPU math expression compiler, in: Proceedings of the Python for Scientific Computing Conference (SciPy), Oral Presentation, June 2010.
    • (2010)
  • 8
    • 1942470793 scopus 로고    scopus 로고
    • Multitask learning
    • Springer
    • Caruana, Rich, Multitask learning. Learning to Learn, 1998, Springer, 95–133.
    • (1998) Learning to Learn , pp. 95-133
    • Caruana, R.1
  • 9
  • 11
    • 85034962699 scopus 로고    scopus 로고
    • Benjamin Druss, Elizabeth Walker, Mental Disorders and Medical Comorbidity. <>.
    • Benjamin Druss, Elizabeth Walker, Mental Disorders and Medical Comorbidity. < http://www.rwjf.org/content/dam/farm/reports/issue_briefs/2011/rwjf69438>.
  • 12
    • 85018457275 scopus 로고    scopus 로고
    • Symptom severity prediction from neuropsychiatric clinical records: overview of 2016 CEGS N-GRID Shared Tasks Track 2
    • Filannino, Michele, Stubbs, Amber, Uzuner, Özlem, Symptom severity prediction from neuropsychiatric clinical records: overview of 2016 CEGS N-GRID Shared Tasks Track 2. J. Biomed. Inform. 75 (2017), S62–S70.
    • (2017) J. Biomed. Inform. , vol.75 , pp. S62-S70
    • Filannino, M.1    Stubbs, A.2    Uzuner, Ö.3
  • 13
    • 0034293152 scopus 로고    scopus 로고
    • Learning to forget: continual prediction with LSTM
    • Gers, Felix A., Schmidhuber, Jürgen, Cummins, Fred, Learning to forget: continual prediction with LSTM. Neural Comput. 12:10 (2000), 2451–2471.
    • (2000) Neural Comput. , vol.12 , Issue.10 , pp. 2451-2471
    • Gers, F.A.1    Schmidhuber, J.2    Cummins, F.3
  • 14
    • 85001976188 scopus 로고    scopus 로고
    • A primer on neural network models for natural language processing
    • Goldberg, Yoav, A primer on neural network models for natural language processing. J. Artif. Intell. Res. 57 (2016), 345–420.
    • (2016) J. Artif. Intell. Res. , vol.57 , pp. 345-420
    • Goldberg, Y.1
  • 15
    • 84978897682 scopus 로고    scopus 로고
    • Supervised sequence labelling with recurrent neural networks
    • Springer
    • Graves, Alex, Supervised sequence labelling with recurrent neural networks. Studies in Computational Intelligence, vol. 385, 2012, Springer, 10.1007/978-3-642-24797-2 ISBN 978-3-642-24796-5.
    • (2012) Studies in Computational Intelligence , vol.385
    • Graves, A.1
  • 16
    • 0031573117 scopus 로고    scopus 로고
    • Long short-term memory
    • Hochreiter, Sepp, Schmidhuber, Jürgen, Long short-term memory. Neural Comput. 9:8 (1997), 1735–1780.
    • (1997) Neural Comput. , vol.9 , Issue.8 , pp. 1735-1780
    • Hochreiter, S.1    Schmidhuber, J.2
  • 17
    • 85010310553 scopus 로고    scopus 로고
    • Natural language processing to extract symptoms of severe mental illness from clinical text: the clinical record interactive search comprehensive data extraction (cris-code) project
    • Jackson, Richard G., Patel, Rashmi, Jayatilleke, Nishamali, Kolliakou, Anna, Ball, Michael, Gorrell, Genevieve, Roberts, Angus, Dobson, Richard J., Stewart, Robert, Natural language processing to extract symptoms of severe mental illness from clinical text: the clinical record interactive search comprehensive data extraction (cris-code) project. BMJ Open, 7(1), 2017, e012012.
    • (2017) BMJ Open , vol.7 , Issue.1 , pp. e012012
    • Jackson, R.G.1    Patel, R.2    Jayatilleke, N.3    Kolliakou, A.4    Ball, M.5    Gorrell, G.6    Roberts, A.7    Dobson, R.J.8    Stewart, R.9
  • 19
    • 85035021337 scopus 로고    scopus 로고
    • Andrej Karpathy, Neural Networks Part 2: Setting up the Data and the Loss. <>.
    • Andrej Karpathy, Neural Networks Part 2: Setting up the Data and the Loss, 2016. < http://cs231n.github.io/neural-networks-2/>.
    • (2016)
  • 20
    • 85027947329 scopus 로고    scopus 로고
    • Leveraging output term co-occurrence frequencies and latent associations in predicting medical subject headings
    • Kavuluru, Ramakanth, Lu, Yuan, Leveraging output term co-occurrence frequencies and latent associations in predicting medical subject headings. Data Knowl. Eng. 94:Part B (2014), 189–201.
    • (2014) Data Knowl. Eng. , vol.94 , pp. 189-201
    • Kavuluru, R.1    Lu, Y.2
  • 21
    • 84943587337 scopus 로고    scopus 로고
    • An empirical evaluation of supervised learning approaches in assigning diagnosis codes to electronic medical records
    • Kavuluru, Ramakanth, Rios, Anthony, Lu, Yuan, An empirical evaluation of supervised learning approaches in assigning diagnosis codes to electronic medical records. Artif. Intell. Med. 65:2 (2015), 155–166.
    • (2015) Artif. Intell. Med. , vol.65 , Issue.2 , pp. 155-166
    • Kavuluru, R.1    Rios, A.2    Lu, Y.3
  • 22
    • 84961376850 scopus 로고    scopus 로고
    • Yoon Kim, Convolutional neural networks for sentence classification, in: Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP), October
    • Yoon Kim, Convolutional neural networks for sentence classification, in: Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP), October 2014, pp. 1746–1751.
    • (2014) , pp. 1746-1751
  • 23
    • 84876231242 scopus 로고    scopus 로고
    • Alex Krizhevsky, Ilya Sutskever, Geoffrey E. Hinton, Imagenet classification with deep convolutional neural networks, in: Advances in Neural Information Processing Systems
    • Alex Krizhevsky, Ilya Sutskever, Geoffrey E. Hinton, Imagenet classification with deep convolutional neural networks, in: Advances in Neural Information Processing Systems, 2012, pp. 1097–1105.
    • (2012) , pp. 1097-1105
  • 24
    • 84994168585 scopus 로고    scopus 로고
    • Visualizing and understanding neural models in NLP
    • Li, Jiwei, Chen, Xinlei, Hovy, Eduard, Jurafsky, Dan, Visualizing and understanding neural models in NLP. Proceedings of NAACL-HLT, 2016, 681–691.
    • (2016) Proceedings of NAACL-HLT , pp. 681-691
    • Li, J.1    Chen, X.2    Hovy, E.3    Jurafsky, D.4
  • 28
    • 85035025443 scopus 로고    scopus 로고
    • of Mental Health, Any Mental Illness (AMI) among U.S. Adults. <>.
    • National Institute of Mental Health, Any Mental Illness (AMI) among U.S. Adults. < https://www.nimh.nih.gov/health/statistics/prevalence/any-mental-illness-ami-among-us-adults.shtml>.
    • National Institute1
  • 29
    • 85034982017 scopus 로고    scopus 로고
    • National Library of Medicine, Unified Medical Language System Reference Manual. <>.
    • National Library of Medicine, Unified Medical Language System Reference Manual, 2009. < http://www.ncbi.nlm.nih.gov/books/NBK9676/>.
    • (2009)
  • 35
    • 84893437311 scopus 로고    scopus 로고
    • Supervised extraction of diagnosis codes from EMRs: role of feature selection, data selection, and probabilistic thresholding
    • IEEE
    • Rios, Anthony, Kavuluru, Ramakanth, Supervised extraction of diagnosis codes from EMRs: role of feature selection, data selection, and probabilistic thresholding. 2013 IEEE International Conference on Healthcare Informatics (ICHI), 2013, IEEE, 66–73.
    • (2013) 2013 IEEE International Conference on Healthcare Informatics (ICHI) , pp. 66-73
    • Rios, A.1    Kavuluru, R.2
  • 36
    • 84966330734 scopus 로고    scopus 로고
    • Analyzing the moving parts of a large-scale multi-label text classification pipeline: experiences in indexing biomedical articles
    • IEEE
    • Rios, Anthony, Kavuluru, Ramakanth, Analyzing the moving parts of a large-scale multi-label text classification pipeline: experiences in indexing biomedical articles. 2015 International Conference on Healthcare Informatics (ICHI), 2015, IEEE, 1–7.
    • (2015) 2015 International Conference on Healthcare Informatics (ICHI) , pp. 1-7
    • Rios, A.1    Kavuluru, R.2
  • 38
    • 85024095269 scopus 로고    scopus 로고
    • Predicting early psychiatric readmission with natural language processing of narrative discharge summaries
    • Rumshisky, A., Ghassemi, M., Naumann, T., Szolovits, P., Castro, V.M., McCoy, T.H., Perlis, R.H., Predicting early psychiatric readmission with natural language processing of narrative discharge summaries. Transl. Psychiat., 6(10), 2016, e921.
    • (2016) Transl. Psychiat. , vol.6 , Issue.10 , pp. e921
    • Rumshisky, A.1    Ghassemi, M.2    Naumann, T.3    Szolovits, P.4    Castro, V.M.5    McCoy, T.H.6    Perlis, R.H.7
  • 40
    • 85021797102 scopus 로고    scopus 로고
    • De-identification of psychiatric intake records: overview of 2016 CEGS N-GRID Shared Tasks Track 1
    • Stubbs, Amber, Filannino, Michele, Uzuner, Özlem, De-identification of psychiatric intake records: overview of 2016 CEGS N-GRID Shared Tasks Track 1. J. Biomed. Inform. 75 (2017), S4–S18.
    • (2017) J. Biomed. Inform. , vol.75 , pp. S4-S18
    • Stubbs, A.1    Filannino, M.2    Uzuner, Ö.3
  • 41
    • 84893343292 scopus 로고    scopus 로고
    • Lecture 6.5-rmsprop: divide the gradient by a running average of its recent magnitude
    • Tieleman, Tijmen, Hinton, Geoffrey, Lecture 6.5-rmsprop: divide the gradient by a running average of its recent magnitude. COURSERA: Neural Networks Mach. Learn., 4(2), 2012.
    • (2012) COURSERA: Neural Networks Mach. Learn. , vol.4 , Issue.2
    • Tieleman, T.1    Hinton, G.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.