scholarly article | Q13442814 |
P50 | author | Yin Aphinyanaphongs | Q75278984 |
Stephen B Johnson | Q83123790 | ||
P2093 | author name string | Jyotishman Pathak | |
James Flory | |||
Scott L DuVall | |||
Thomas R Campion | |||
Vincent Major | |||
Olga V Patterson | |||
Prakash Adekkanattu | |||
P2860 | cites work | Natural language processing in biomedicine: a unified system architecture overview | Q27009056 |
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A Natural Language Processing Tool for Large-Scale Data Extraction from Echocardiography Reports | Q31086645 | ||
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Concept-value pair extraction from semi-structured clinical narrative: a case study using echocardiogram reports | Q35018458 | ||
Portability of an algorithm to identify rheumatoid arthritis in electronic health records. | Q36085131 | ||
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Automated extraction of ejection fraction for quality measurement using regular expressions in Unstructured Information Management Architecture (UIMA) for heart failure | Q36175146 | ||
Aspiring to Unintended Consequences of Natural Language Processing: A Review of Recent Developments in Clinical and Consumer-Generated Text Processing | Q36188138 | ||
Natural Language Processing in Radiology: A Systematic Review | Q38810979 | ||
Challenges in adapting existing clinical natural language processing systems to multiple, diverse health care settings | Q38832328 | ||
Extraction of left ventricular ejection fraction information from various types of clinical reports. | Q38978113 | ||
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Scaling-up NLP Pipelines to Process Large Corpora of Clinical Notes | Q40358668 | ||
Identification of Patients with Family History of Pancreatic Cancer--Investigation of an NLP System Portability. | Q41494369 | ||
Cross-hospital portability of information extraction of cancer staging information. | Q43692446 | ||
P921 | main subject | natural language processing | Q30642 |
P304 | page(s) | 104-112 | |
P577 | publication date | 2018-05-18 | |
P1433 | published in | AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science | Q27723308 |
P1476 | title | From Sour Grapes to Low-Hanging Fruit: A Case Study Demonstrating a Practical Strategy for Natural Language Processing Portability. | |
P478 | volume | 2017 |
Q91988920 | Ascertaining Depression Severity by Extracting Patient Health Questionnaire-9 (PHQ-9) Scores from Clinical Notes |
Q92064041 | Evaluating the Portability of an NLP System for Processing Echocardiograms: A Retrospective, Multi-site Observational Study |
Q92074913 | Underserved populations with missing race ethnicity data differ significantly from those with structured race/ethnicity documentation |
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