| Call for papers: Special issue on clinical natural language processing for secondary use applications | 0 | 0.34 | 2022 |
| Transferability of neural network clinical deidentification systems | 0 | 0.34 | 2021 |
| Extracting COVID-19 diagnoses and symptoms from clinical text: A new annotated corpus and neural event extraction framework | 1 | 0.34 | 2021 |
| Annotating social determinants of health using active learning, and characterizing determinants using neural event extraction | 1 | 0.43 | 2021 |
| Predicting Severe Clinical Events by Learning about Life-Saving Actions and Outcomes using Distant Supervision. | 0 | 0.34 | 2020 |
| Alignment Annotation for Clinic Visit Dialogue to Clinical Note Sentence Language Generation. | 0 | 0.34 | 2020 |
| Extraction and Analysis of Clinically Important Follow-up Recommendations in a Large Radiology Dataset. | 0 | 0.34 | 2019 |
| Using Neural Multi-task Learning to Extract Substance Abuse Information from Clinical Notes. | 0 | 0.34 | 2018 |
| Asynchronous Speech Recognition Affects Physician Editing of Notes. | 0 | 0.34 | 2018 |
| Learning about Life-Saving Interventions to Predict the Risk of Acute Organ Failures. | 0 | 0.34 | 2018 |
| Hierarchical Attention-Based Prediction Model for Discovering the Persistence of Chronic Opioid Therapy from a large Clinical Dataset. | 0 | 0.34 | 2018 |
| Improving Electronic Inpatient Progress Notes Using Voice: Results from the VGEENS Project. | 0 | 0.34 | 2017 |
| Classifying tumor event attributes in radiology reports | 1 | 0.36 | 2017 |
| Automatic Identification of Substance Abuse Events from Clinical Text. | 0 | 0.34 | 2017 |
| Automatically Detecting Likely Edits in Clinical Notes Created Using Automatic Speech Recognition. | 0 | 0.34 | 2017 |
| Clinical Event Detection with Hybrid Neural Architecture. | 0 | 0.34 | 2017 |
| Automatic Liver Cancer Stage Prediction From Free-Text Clinical Notes. | 0 | 0.34 | 2017 |
| Classification of hepatocellular carcinoma stages from free-text clinical and radiology reports. | 1 | 0.35 | 2017 |
| Clustering Vital Sign Observations Using Unsupervised Random Forest. | 0 | 0.34 | 2017 |
| Tumor reference resolution and characteristic extraction in radiology reports for liver cancer stage prediction. | 2 | 0.38 | 2016 |
| Automatic Identification of Lifestyle and Environmental Factors from Social History in Clinical Text. | 0 | 0.34 | 2016 |
| Annotation of Tumor Reference Resolution and Tumor Characteristics for Cancer Liver Stage Prediction. | 0 | 0.34 | 2016 |
| A New Way of Representing Clinical Reports for Rapid Phenotyping. | 0 | 0.34 | 2016 |
| Annotating and Detecting Medical Events in Clinical Notes. | 0 | 0.34 | 2016 |
| Identification of an Acute Kidney Injury Phenotype from Electronic Health Record Data. | 0 | 0.34 | 2016 |
| Tumor Information Extraction in Radiology Reports for Hepatocellular Carcinoma Patients. | 1 | 0.35 | 2016 |
| Annotating Recommendation Sentences in Radiology Reports. | 0 | 0.34 | 2015 |
| In-depth annotation for patient level liver cancer staging | 0 | 0.34 | 2015 |
| Annotation of Disease Characteristics for Cancer Liver Stage Prediction. | 0 | 0.34 | 2015 |
| Annotation of Clinically Important Follow-up Recommendations in Radiology Reports | 0 | 0.34 | 2015 |
| Annotating Clinical Events in Text Snippets for Phenotype Detection. | 0 | 0.34 | 2014 |
| A New Corpus for Structured Microbiology Results. | 0 | 0.34 | 2014 |
| Text classification for assisting moderators in online health communities. | 29 | 1.20 | 2013 |
| On-time clinical phenotype prediction based on narrative reports. | 0 | 0.34 | 2013 |
| Assertion modeling and its role in clinical phenotype identification | 10 | 0.61 | 2013 |
| Identification of Patients with Acute Lung Injury from Free-Text Chest X-Ray Reports | 1 | 0.40 | 2013 |
| A text processing pipeline to extract recommendations from radiology reports. | 16 | 1.26 | 2013 |
| Annotating Change of State for Clinical Events | 1 | 0.38 | 2013 |
| Pneumonia identification using statistical feature selection. | 22 | 0.98 | 2012 |
| Text Classification to Weave Medical Advice with Patient Experiences. | 1 | 0.35 | 2012 |
| Smoking Status Detection Across Domains. | 0 | 0.34 | 2012 |
| Statistical Section Segmentation in Free-Text Clinical Records. | 5 | 0.56 | 2012 |
| Brainstorming Design for Health: Helping Patients Utilize Patient-Generated Information on the Web. | 1 | 0.37 | 2012 |
| Assessing Pneumonia Identification from Time-Ordered Narrative Reports. | 5 | 0.47 | 2012 |
| Dynamic categorization of clinical research eligibility criteria by hierarchical clustering. | 13 | 0.99 | 2011 |
| Preliminary experience with Amazon's Mechanical Turk for annotating medical named entities | 21 | 1.00 | 2010 |
| Annotating large email datasets for named entity recognition with Mechanical Turk | 18 | 0.86 | 2010 |
| A new evaluation methodology for literature-based discovery systems. | 29 | 1.08 | 2009 |
| Finding the meaning of medical concept correlations. | 0 | 0.34 | 2008 |
| Response to ‘‘Validating discovery in literature-based discovery” | 1 | 0.36 | 2007 |
