scholarly article | Q13442814 |
P50 | author | Matthew Samore | Q63144416 |
Adi V. Gundlapalli | Q110495182 | ||
Marjorie E Carter | Q110541884 | ||
P2093 | author name string | Guy Divita | |
Shuying Shen | |||
Andrew Redd | |||
Brett South | |||
Miland Palmer | |||
B S Begum Durgahee | |||
P2860 | cites work | Natural language processing: an introduction | Q27000017 |
BioPortal: enhanced functionality via new Web services from the National Center for Biomedical Ontology to access and use ontologies in software applications | Q28743122 | ||
Effective mapping of biomedical text to the UMLS Metathesaurus: the MetaMap program | Q29614363 | ||
BioPortal: ontologies and integrated data resources at the click of a mouse | Q29617519 | ||
Validation of ICD-9 codes with a high positive predictive value for incident strokes resulting in hospitalization using Medicaid health data | Q31135274 | ||
Extracting principal diagnosis, co-morbidity and smoking status for asthma research: evaluation of a natural language processing system | Q33252003 | ||
Extracting information from textual documents in the electronic health record: a review of recent research. | Q33355490 | ||
Mayo clinical Text Analysis and Knowledge Extraction System (cTAKES): architecture, component evaluation and applications | Q34371773 | ||
Predictive ability of positive clinical culture results and International Classification of Diseases, Ninth Revision, to identify and classify noninvasive Staphylococcus aureus infections: a validation study. | Q34443630 | ||
Lexical methods for managing variation in biomedical terminologies | Q36469046 | ||
Validating a strategy for psychosocial phenotyping using a large corpus of clinical text | Q37389434 | ||
Recognizing Questions and Answers in EMR Templates Using Natural Language Processing | Q38427275 | ||
Detecting earlier indicators of homelessness in the free text of medical records | Q43825837 | ||
Veteran's affairs hospital discharge databases coded serious bacterial infections accurately | Q43879445 | ||
Co-occurring medical and mental illness and substance use disorders among veteran clinic users with spinal cord injury patients with complexities | Q45331506 | ||
Agreement between administrative files and written medical records: a case of the Department of Veterans Affairs | Q45334986 | ||
The promise of electronic records: around the corner or down the road? | Q51537985 | ||
Closing the gap between NLP research and clinical practice | Q51673536 | ||
A simple algorithm for identifying negated findings and diseases in discharge summaries | Q52036514 | ||
P921 | main subject | homelessness | Q131327 |
P304 | page(s) | 589-598 | |
P577 | publication date | 2014-11-14 | |
P1433 | published in | AMIA Annual Symposium proceedings | Q27720789 |
P1476 | title | Extracting Concepts Related to Homelessness from the Free Text of VA Electronic Medical Records | |
P478 | volume | 2014 |
Q91989017 | Applying Machine Learning to Linked Administrative and Clinical Data to Enhance the Detection of Homelessness among Vulnerable Veterans |
Q39008896 | Automatic health record review to help prioritize gravely ill Social Security disability applicants |
Q47433545 | Clinical Information Extraction Applications: A Literature Review |
Q92064179 | Longitudinal analysis of social and behavioral determinants of health in the EHR: exploring the impact of patient trajectories and documentation practices |
Search more.