| scholarly article | Q13442814 |
| P8978 | DBLP publication ID | journals/jbi/BozkurtGBGR16 |
| P356 | DOI | 10.1016/J.JBI.2016.07.001 |
| P932 | PMC publication ID | 5108519 |
| P698 | PubMed publication ID | 27388877 |
| P50 | author | Daniel Rubin | Q59755648 |
| P2093 | author name string | Elizabeth S Burnside | |
| Selen Bozkurt | |||
| Francisco Gimenez | |||
| Kemal H Gulkesen | |||
| P2860 | cites work | Natural language processing: an introduction | Q27000017 |
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| Breast imaging reporting and data system (BI-RADS). | Q30704127 | ||
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| Variability and accuracy in mammographic interpretation using the American College of Radiology Breast Imaging Reporting and Data System | Q31961935 | ||
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| Accuracy of screening mammography interpretation by characteristics of radiologists | Q35126323 | ||
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| Using natural language processing to extract mammographic findings | Q35533413 | ||
| Validation of natural language processing to extract breast cancer pathology procedures and results | Q35796438 | ||
| Automatic classification of mammography reports by BI-RADS breast tissue composition class | Q36175155 | ||
| Clinical decision support with automated text processing for cervical cancer screening | Q36175210 | ||
| Decision support systems for clinical radiological practice -- towards the next generation | Q36324860 | ||
| Classification algorithms applied to narrative reports | Q36442257 | ||
| Identification of findings suspicious for breast cancer based on natural language processing of mammogram reports | Q36443853 | ||
| A Bayesian network for mammography | Q36460832 | ||
| Medical text representations for inductive learning. | Q36461026 | ||
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| Bayesian network to predict breast cancer risk of mammographic microcalcifications and reduce number of benign biopsy results: initial experience | Q36574256 | ||
| Extracting a stroke phenotype risk factor from Veteran Health Administration clinical reports: an information content analysis | Q36890669 | ||
| Extracting BI-RADS Features from Portuguese Clinical Texts | Q36944862 | ||
| Inter-observer variability in mammography screening and effect of type and number of readers on screening outcome. | Q37141928 | ||
| Automated extraction of BI-RADS final assessment categories from radiology reports with natural language processing | Q37196210 | ||
| ConText: an algorithm for determining negation, experiencer, and temporal status from clinical reports | Q37376283 | ||
| Variability in interpretive performance at screening mammography and radiologists' characteristics associated with accuracy | Q37450161 | ||
| Informatics in Radiology: Measuring and Improving Quality in Radiology: Meeting the Challenge with Informatics | Q37945552 | ||
| Enabling health care decisionmaking through clinical decision support and knowledge management. | Q38057794 | ||
| A natural language processing pipeline for pairing measurements uniquely across free-text CT reports | Q38423999 | ||
| Automatically Correlating Clinical Findings and Body Locations in Radiology Reports Using MedLEE | Q38487259 | ||
| Building a Natural Language Processing Tool to Identify Patients With High Clinical Suspicion for Kawasaki Disease from Emergency Department Notes | Q38716455 | ||
| Automated identification and predictive tools to help identify high-risk heart failure patients: pilot evaluation | Q38748870 | ||
| Natural Language Processing in Radiology: A Systematic Review | Q38810979 | ||
| Automatic detection of acute bacterial pneumonia from chest X-ray reports | Q39660969 | ||
| Decision support system for breast cancer detection using mammograms. | Q40108730 | ||
| The mammography audit: a primer for the mammography quality standards act (MQSA). | Q40547376 | ||
| Efficacy of screening mammography. A meta-analysis | Q40555342 | ||
| Mammography Screening Still Brings Mixed Advice | Q43215123 | ||
| Automatic abstraction of imaging observations with their characteristics from mammography reports | Q45813548 | ||
| Improving the accuracy of mammography: volume and outcome relationships | Q46506552 | ||
| Extracting information on pneumonia in infants using natural language processing of radiology reports | Q51967415 | ||
| Using a Bayesian network to predict the probability and type of breast cancer represented by microcalcifications on mammography. | Q51989981 | ||
| A comparison of classification algorithms to automatically identify chest X-ray reports that support pneumonia | Q52062096 | ||
| Construction of a Bayesian network for mammographic diagnosis of breast cancer. | Q52285235 | ||
| Inter-observer and intra-observer variability of mammogram interpretation: a field study | Q52862132 | ||
| Variability in the interpretation of screening mammograms by US radiologists. Findings from a national sample | Q52886814 | ||
| Re: Accuracy of screening mammography interpretation by characteristics of radiologists | Q52978788 | ||
| Association of volume and volume-independent factors with accuracy in screening mammogram interpretation | Q73014428 | ||
| P921 | main subject | automation | Q184199 |
| mammography | Q324634 | ||
| decision support system | Q330268 | ||
| P304 | page(s) | 224-231 | |
| P577 | publication date | 2016-07-04 | |
| P1433 | published in | Journal of Biomedical Informatics | Q6294850 |
| P1476 | title | Using automatically extracted information from mammography reports for decision-support | |
| P478 | volume | 62 |
| Q92922456 | Automated Detection of Measurements and Their Descriptors in Radiology Reports Using a Hybrid Natural Language Processing Algorithm |
| Q38692525 | Automated annotation and classification of BI-RADS assessment from radiology reports |
| Q64115009 | Automatic inference of BI-RADS final assessment categories from narrative mammography report findings |
| Q47433545 | Clinical Information Extraction Applications: A Literature Review |
| Q92553136 | Evaluation of the predictive ability of ultrasound-based assessment of breast cancer using BI-RADS natural language reporting against commercial transcriptome-based tests |
| Q47590460 | Making Sense of Big Textual Data for Health Care: Findings from the Section on Clinical Natural Language Processing |
| Q90013587 | Natural Language Processing for Automated Quantification of Brain Metastases Reported in Free-Text Radiology Reports |
| Q41528069 | Text Mining in Biomedical Domain with Emphasis on Document Clustering |
| Q64105100 | The Revival of the Notes Field: Leveraging the Unstructured Content in Electronic Health Records |
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