Natural language processing in urology: Automated extraction of clinical information from histopathology reports of uro-oncology procedures

Author:

Huang HonghongORCID,Lim Fiona Xin YiORCID,Gu Gary TianyuORCID,Han Matthew Jiangchou,Fang Andrew Hao SenORCID,Chia Elian Hui SanORCID,Bei Eileen Yen TzeORCID,Tham Sarah ZhulingORCID,Ho Henry Sun Sien,Yuen John Shyi Peng,Sun AixinORCID,Lim Jay Kheng Sit

Funder

Singapore General Hospital

Publisher

Elsevier BV

Subject

Multidisciplinary

Reference14 articles.

1. Automating the renal cell carcinoma registry in Singapore: a case study on the integration of the research electronic data capture system with the enterprise data warehouse;Huang;J. Regist. Manag.,2018

2. Automating the capture of structured pathology data for prostate cancer clinical care and research;Odisho;JCO Clin. Cancer Inform.,2019

3. Natural language processing systems for capturing and standardizing unstructured clinical information: a systematic review;Kreimeyer;J. Biomed. Inf.,2017

4. Clinical text classification with rule-based features and knowledge-guided convolutional neural networks;Yao;BMC Med. Inf. Decis. Making,2019

5. On the opportunities and risks of foundation models, https://arxiv.org/abs/2108.07258. (Date accessed on 8th March 2022).

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