Natural language processing for automated quantification of bone metastases reported in free-text bone scintigraphy reports-Reference-Cited by-同舟云学术

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Natural language processing for automated quantification of bone metastases reported in free-text bone scintigraphy reports

Published:2020-09-12 Issue:12 Volume:59 Page:1455-1460
ISSN:0284-186X
Container-title:Acta Oncologica
language:en
Short-container-title:Acta Oncologica

Author:

Groot Olivier Q.¹²,Bongers Michiel E. R.¹^ORCID,Karhade Aditya V.¹,Kapoor Neal D.¹,Fenn Brian P.¹,Kim Jason¹,Verlaan J. J.²,Schwab Joseph H.¹

Affiliation:

1. Department of Orthopaedic Surgery, Orthopaedic Oncology Service, Massachusetts General Hospital – Harvard Medical School, Boston, MA, USA

2. Department of Orthopaedic Surgery, University Medical Center Utrecht – Utrecht University, Utrecht, The Netherlands

Funder

National Center for Advancing Translational Sciences, National Institutes of Health

Publisher

Informa UK Limited

Subject

Radiology Nuclear Medicine and imaging,Oncology,Hematology,General Medicine

Link

https://www.tandfonline.com/doi/pdf/10.1080/0284186X.2020.1819563

Reference30 articles.

1. Machine Learning, Predictive Analytics, and Clinical Practice

2. Reliability of medical record abstraction by non-physicians for orthopedic research

3. Interrater Reliability and Accuracy of Clinicians and Trained Research Assistants Performing Prospective Data Collection in Emergency Department Patients With Potential Acute Coronary Syndrome

4. Complications and reoperations after surgery for 647 patients with spine metastatic disease

5. Predicting 90-Day and 1-Year Mortality in Spinal Metastatic Disease: Development and Internal Validation

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2. The More, the Better? Modalities of Metastatic Status Extraction on Free Medical Reports Based on Natural Language Processing;JCO Clinical Cancer Informatics;2024-08

3. Artificial Intelligence in Detection, Management, and Prognosis of Bone Metastasis: A Systematic Review;Cancers;2024-07-29

4. Harnessing Artificial Intelligence for Automated Diagnosis;Information;2024-05-27

5. Applications of natural language processing tools in the surgical journey;Frontiers in Surgery;2024-05-17

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