ASO Author Reflections: Development of Natural Language Processing-Based Machine-Learning Algorithms to Identify Pathologic Complete Response from Surgical Pathology Reports.
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| Title: | ASO Author Reflections: Development of Natural Language Processing-Based Machine-Learning Algorithms to Identify Pathologic Complete Response from Surgical Pathology Reports. |
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| Authors: | Wu G; Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.; The Centre for Health Informatics, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada., Cheligeer C; The Centre for Health Informatics, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.; Alberta Health Services, Calgary, Alberta, Canada., Xu Y; Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada. yuxu@ucalgary.ca.; Department of Surgery, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada. yuxu@ucalgary.ca.; Department of Oncology, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada. yuxu@ucalgary.ca. |
| Source: | Annals of surgical oncology [Ann Surg Oncol] 2023 Apr; Vol. 30 (4), pp. 2104-2105. Date of Electronic Publication: 2022 Dec 22. |
| Publication Type: | Journal Article; Comment |
| Journal Info: | Publisher: Springer Country of Publication: United States NLM ID: 9420840 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1534-4681 (Electronic) Linking ISSN: 10689265 NLM ISO Abbreviation: Ann Surg Oncol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1534-4681 |
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| DOI: | 10.1245/s10434-022-12967-2 |
