PHI Scrubber: A Deep Learning Approach

Abhai Kollara Dilip; Kamal Raj K; Malaikannan Sankarasubbu

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arXiv · 1808.01128

PHI Scrubber: A Deep Learning Approach

Abhai Kollara Dilip·Kamal Raj K·Malaikannan Sankarasubbu

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Abstract

Confidentiality of patient information is an essential part of Electronic Health Record System. Patient information, if exposed, can cause a serious damage to the privacy of individuals receiving healthcare. Hence it is important to remove such details from physician notes. A system is proposed which consists of a deep learning model where a de-convolutional neural network and bi-directional LSTM-CNN is used along with regular expressions to recognize and eliminate the individually identifiable information. This information is then removed from a medical practitioner's data which further allows the fair usage of such information among researchers and in clinical trials.

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Abhai Kollara Dilip, Kamal Raj K, Malaikannan Sankarasubbu. 2018-08-03. PHI Scrubber: A Deep Learning Approach. https://arxiv.org/abs/1808.01128

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