Post-Structuring Radiology Reports of Breast Cancer Patients for Clinical Quality Assurance

Hospitals often set protocols based on well defined standards to maintain the quality of patient reports. To ensure that the clinicians conform to the protocols, quality assurance of these reports is needed. Patient reports are currently written in free-text format, which complicates the task of qua...

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Veröffentlicht in:	IEEE/ACM transactions on computational biology and bioinformatics 2020-11, Vol.17 (6), p.1883-1894
Hauptverfasser:	Pathak, Shreyasi, van Rossen, Jorit, Vijlbrief, Onno, Geerdink, Jeroen, Seifert, Christin, van Keulen, Maurice
Format:	Artikel
Sprache:	eng
Schlagworte:	automatic structuring Breast cancer conditional random field Conditional random fields Format Learning algorithms Machine learning Natural language processing Patients post-structuring Quality assurance Quality control Radiology radiology reports Support vector machines
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