Heidi Schmidt
Indiana University – Purdue University Indianapolis
4 Papers
9 Citations
Heidi Schmidt is an academic researcher from Indiana University – Purdue University Indianapolis. The author has contributed to research in topics: Pancreatic cysts & Pancreatic cancer. The author has an hindex of 4, co-authored 4 publications. Previous affiliations of Heidi Schmidt include Indiana University.
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Papers
DEEPEN: A negation detection system for clinical text incorporating dependency relation into NegEx.
Saeed Mehrabi,Saeed Mehrabi,Anand Krishnan,Sunghwan Sohn,Alexandra M. Roch,Heidi Schmidt,Joe Kesterson,Chris Beesley,Paul R. Dexter,C. Max Schmidt,Hongfang Liu,Mathew J. Palakal +11 more
TL;DR: In this article, a negation detection algorithm, NegEx, applies a simplistic approach that has been shown to be powerful in clinical NLP, but due to the failure to consider the contextual relationship between words within a sentence, negEx fails to correctly capture the negation status of concepts in complex sentences.
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Identification of Patients with Family History of Pancreatic Cancer--Investigation of an NLP System Portability.
Saeed Mehrabi,Anand Krishnan,Alexandra M. Roch,Heidi Schmidt,Dingcheng Li,Joe Kesterson,Chris Beesley,Paul R. Dexter,Max Schmidt,Mathew J. Palakal,Hongfang Liu +10 more
TL;DR: The results show that rule-based NLP approaches for specific information extraction tasks are portable across institutions; however customization of the algorithm on the new dataset improves its performance.
42
Automated pancreatic cyst screening using natural language processing: a new tool in the early detection of pancreatic cancer
Alexandra M. Roch,Saeed Mehrabi,Saeed Mehrabi,Anand Krishnan,Heidi Schmidt,Joseph Kesterson,Chris Beesley,Paul R. Dexter,Mathew J. Palakal,C. Max Schmidt +9 more
- 01 May 2015
TL;DR: In this paper, an automated Natural Language Processing (NLP-based pancreatic cyst identification system was developed based on key words commonly used by physicians to describe pancreatic cancer and programmed for automated search of electronic medical records.
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Automated pancreatic cyst screening using natural language processing: A new tool in the early detection of pancreatic cancer
Alexandra M. Roch,Saeed Mehrabi,Saeed Mehrabi,Anand Krishnan,Heidi Schmidt,Joseph Kesterson,Chris Beesley,Paul R. Dexter,Mathew J. Palakal,C. Max Schmidt +9 more
TL;DR: NLP is an effective tool to automatically identify patients with pancreatic cysts based on electronic medical records (EMR) and can help capture patients 'at-risk' of pancreatic cancer in a registry.