S
Saeed Mehrabi
Researcher at Mayo Clinic
Publications - 23
Citations - 908
Saeed Mehrabi is an academic researcher from Mayo Clinic. The author has contributed to research in topics: Pancreatic cancer & Nonlinear system. The author has an hindex of 9, co-authored 21 publications receiving 649 citations. Previous affiliations of Saeed Mehrabi include Indiana University & Indiana University – Purdue University Indianapolis.
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Journal ArticleDOI
Clinical information extraction applications: A literature review.
Yanshan Wang,Liwei Wang,Majid Rastegar-Mojarad,Sungrim Moon,Feichen Shen,Naveed Afzal,Sijia Liu,Yuqun Zeng,Saeed Mehrabi,Sunghwan Sohn,Hongfang Liu +10 more
TL;DR: There is a considerable gap between clinical studies using EHR data and studies using clinical IE, so a more concrete understanding of the gap is gained and potential solutions to bridge this gap are provided.
Journal ArticleDOI
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.
Journal ArticleDOI
Toward a Learning Health-care System – Knowledge Delivery at the Point of Care Empowered by Big Data and NLP
Vinod C. Kaggal,Ravikumar Komandur Elayavilli,Saeed Mehrabi,Joshua J. Pankratz,Sunghwan Sohn,Yanshan Wang,Dingcheng Li,Majid Mojarad Rastegar,Sean P. Murphy,Jason L. Ross,Rajeev Chaudhry,James D. Buntrock,Hongfang Liu +12 more
TL;DR: An institutional implementation of a big data-empowered clinical NLP infrastructure, which not only enables health-care analytics but also has real-time NLP processing capability, which significantly outperformed other infrastructure in terms of computing speed.
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Application of multilayer perceptron and radial basis function neural networks in differentiating between chronic obstructive pulmonary and congestive heart failure diseases
TL;DR: The multilayer perceptron (MLP) and radial basis function (RBF) neural networks were used to differentiate between patients suffering one of these diseases, using 42 clinical variables which were normalized following consultations with cardiologists.
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A Part-Of-Speech term weighting scheme for biomedical information retrieval.
TL;DR: Two NLP-empowered IR models are proposed, POS-BoW and POS-MRF, which incorporate automatic POS-based term weighting schemes into bag-of-word (BoW) and Markov Random Field (MRF) IR models, respectively.