A Visualization Approach for Rapid Labeling of Clinical Notes for Smoking Status Extraction
暂无分享,去创建一个
Slobodan Vucetic | Ziyu Yang | Saman Enayati | Benjamin Lu | S. Vucetic | Ziyu Yang | Saman Enayati | Benjamin Lu
[1] Sophia Ananiadou,et al. A Neural Model for Aggregating Coreference Annotation in Crowdsourcing , 2020, COLING.
[2] Iryna Gurevych,et al. From Zero to Hero: Human-In-The-Loop Entity Linking in Low Resource Domains , 2020, ACL.
[3] Umit Topaloglu,et al. Extracting Smoking Status from Electronic Health Records Using NLP and Deep Learning. , 2020, AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science.
[4] Masatoshi Yoshikawa,et al. Annotating and Analyzing Biased Sentences in News Articles using Crowdsourcing , 2020, LREC.
[5] Shanshan Zhang,et al. How to Invest my Time: Lessons from Human-in-the-Loop Entity Extraction , 2019, KDD.
[6] Saeed Hassanpour,et al. Building a tobacco user registry by extracting multiple smoking behaviors from clinical notes , 2019, BMC Medical Informatics Decis. Mak..
[7] Amit Acharya,et al. Tobacco use status from clinical notes using Natural Language Processing and rule based algorithm. , 2018, Technology and health care : official journal of the European Society for Engineering and Medicine.
[8] Bryan Pardo,et al. A Human-in-the-Loop System for Sound Event Detection and Annotation , 2018, ACM Trans. Interact. Intell. Syst..
[9] Peter Szolovits,et al. MIMIC-III, a freely accessible critical care database , 2016, Scientific Data.
[10] Hongfang Liu,et al. Comparison of Three Information Sources for Smoking Information in Electronic Health Records , 2016, Cancer informatics.
[11] Dacheng Tao,et al. Active Learning for Crowdsourcing Using Knowledge Transfer , 2014, AAAI.
[12] Benjamin M. Good,et al. Crowdsourcing for bioinformatics , 2013, Bioinform..
[13] J. Dean,et al. Efficient Estimation of Word Representations in Vector Space , 2013, ICLR.
[14] Burr Settles,et al. Closing the Loop: Fast, Interactive Semi-Supervised Annotation With Queries on Features and Instances , 2011, EMNLP.
[15] Gaël Varoquaux,et al. Scikit-learn: Machine Learning in Python , 2011, J. Mach. Learn. Res..
[16] Yunyao Li,et al. An Intuitive User Interface for Human-in-the-loop Entity Name Parsing and Entity Variant Generation , 2020, DaSH@KDD.
[17] Ming-Wei Chang,et al. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding , 2019, NAACL.
[18] Christus,et al. A General Method Applicable to the Search for Similarities in the Amino Acid Sequence of Two Proteins , 2022 .