| scholarly article | Q13442814 |
| P2093 | author name string | James L Chen | |
| Albert M Lai | |||
| Eric Fosler-Lussier | |||
| Preethi Raghavan | |||
| P2860 | cites work | Evaluating temporal relations in clinical text: 2012 i2b2 Challenge | Q28681390 |
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| Comparing ICD9-encoded diagnoses and NLP-processed discharge summaries for clinical trials pre-screening: a case study | Q37128995 | ||
| Active computerized pharmacovigilance using natural language processing, statistics, and electronic health records: a feasibility study | Q37319463 | ||
| EliXR-TIME: A Temporal Knowledge Representation for Clinical Research Eligibility Criteria | Q38468206 | ||
| The granularity of medical narratives and its effect on the speed and completeness of information retrieval | Q39272405 | ||
| Overcoming barriers to NLP for clinical text: the role of shared tasks and the need for additional creative solutions | Q42613250 | ||
| P304 | page(s) | 218-223 | |
| P577 | publication date | 2014-04-07 | |
| P1433 | published in | AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science | Q27723308 |
| P1476 | title | How essential are unstructured clinical narratives and information fusion to clinical trial recruitment? | |
| P478 | volume | 2014 |
| Q89559902 | Are My EHRs Private Enough? Event-Level Privacy Protection |
| Q31172251 | Automatic data source identification for clinical trial eligibility criteria resolution |
| Q92145175 | Building a Semantic Health Data Warehouse in the Context of Clinical Trials: Development and Usability Study |
| Q41278528 | Design of an extensive information representation scheme for clinical narratives |
| Q89559893 | Natural Language Processing for EHR-Based Computational Phenotyping |
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| Q35924262 | Supporting information retrieval from electronic health records: A report of University of Michigan's nine-year experience in developing and using the Electronic Medical Record Search Engine (EMERSE) |
| Q38741530 | Text Mining of the Electronic Health Record: An Information Extraction Approach for Automated Identification and Subphenotyping of HFpEF Patients for Clinical Trials |
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