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1.
Development of a generalizable natural language processing pipeline to extract physician-reported pain from clinical reports: Generated using publicly-available datasets and tested on institutional clinical reports for cancer patients with bone metastases.
J Biomed Inform
; 120: 103864, 2021 08.
Artículo
en Inglés
| MEDLINE | ID: mdl-34265451
2.
A Scalable Radiomics- and Natural Language Processing-Based Machine Learning Pipeline to Distinguish Between Painful and Painless Thoracic Spinal Bone Metastases: Retrospective Algorithm Development and Validation Study.
JMIR AI
; 2: e44779, 2023 May 22.
Artículo
en Inglés
| MEDLINE | ID: mdl-38875572
3.
Radiomics-based machine learning models to distinguish between metastatic and healthy bone using lesion-center-based geometric regions of interest.
Sci Rep
; 12(1): 9866, 2022 06 14.
Artículo
en Inglés
| MEDLINE | ID: mdl-35701461
4.
Situation Analysis for Promotion of Hot-Lines: An Experience from Iran.
Int J Prev Med
; 11: 183, 2020.
Artículo
en Inglés
| MEDLINE | ID: mdl-33456739
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