research data . Dataset . 2020

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

Groot, Olivier Q.; Bongers, Michiel E. R.; Karhade, Aditya V.; Kapoor, Neal D.; Fenn, Brian P.; Kim, Jason; J. J. Verlaan; Schwab, Joseph H.;
  • Published: 12 Sep 2020
  • Publisher: Taylor & Francis
Abstract
The widespread use of electronic patient-generated health data has led to unprecedented opportunities for automated extraction of clinical features from free-text medical notes. However, processing this rich resource of data for clinical and research purposes, depends on labor-intensive and potentially error-prone manual review. The aim of this study was to develop a natural language processing (NLP) algorithm for binary classification (single metastasis versus two or more metastases) in bone scintigraphy reports of patients undergoing surgery for bone metastases. Bone scintigraphy reports of patients undergoing surgery for bone metastases were labeled each by t...
Subjects
free text keywords: Medicine, Genetics, FOS: Biological sciences, 69999 Biological Sciences not elsewhere classified, 80699 Information Systems not elsewhere classified, FOS: Computer and information sciences, 19999 Mathematical Sciences not elsewhere classified, FOS: Mathematics, Cancer, Hematology, Plant Biology
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Dataset . 2020
Provider: Datacite
figshare
Dataset . 2020
Provider: Datacite
figshare
Dataset . 2020
Provider: Datacite
figshare
Dataset . 2020
Provider: Datacite
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