Radiology Report Annotation using Intelligent Word Embeddings: Applied to Multi-institutional Chest CT Cohort.

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Probabilistic Prognostic Estimates of Survival in Metastatic Cancer Patients (PPES-Met) Utilizing Free-Text Clinical Narratives

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Radiology Report Annotation using Intelligent Word Embeddings: Applied to Multi-institutional Chest CT Cohort.

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2017 nî lūn-bûn

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Radiology Report Annotation us ...... institutional Chest CT Cohort.

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Radiology Report Annotation us ...... institutional Chest CT Cohort.

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Radiology Report Annotation us ...... institutional Chest CT Cohort.

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Radiology Report Annotation us ...... institutional Chest CT Cohort.

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Radiology report annotation us ...... -institutional chest CT cohort

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Imon Banerjee

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Matthew C Chen

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Matthew P Lungren

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P2860

BioPortal: ontologies and integrated data resources at the click of a mouse

A general natural-language text processor for clinical radiology

Mayo clinical Text Analysis and Knowledge Extraction System (cTAKES): architecture, component evaluation and applications.

Use of natural language processing to translate clinical information from a database of 889,921 chest radiographic reports.

Computer-aided classification of lung nodules on computed tomography images via deep learning technique

Application of recently developed computer algorithm for automatic classification of unstructured radiology reports: validation study.

Natural Language Processing to identify pneumonia from radiology reports.

Document-level classification of CT pulmonary angiography reports based on an extension of the ConText algorithm.

Best Clinical Practice: Current Controversies in Pulmonary Embolism Imaging and Treatment of Subsegmental Thromboembolic Disease.

Central Versus Peripheral Pulmonary Embolism: Analysis of the Impact on the Physiological Parameters and Long-term Survival

P304

11-20

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scholarly article

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10.1016/J.JBI.2017.11.012

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Daniel Rubin

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2017-11-23T00:00:00Z

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29175548

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Radiology Report Annotation using Intelligent Word Embeddings: Applied to Multi-institutional Chest CT Cohort.

about

P2860

P2860

Radiology Report Annotation using Intelligent Word Embeddings: Applied to Multi-institutional Chest CT Cohort.

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