S. Abdelrahman

发表

Broad-Coverage Parsing Using Human-Like Memory Constraints

William Schuler, Lane Schwartz, S. Abdelrahman, 2010, CL.

Using supervised machine learning classifiers to estimate likelihood of participating in clinical trials of a de-identified version of ResearchMatch

S. Abdelrahman, J. Facelli, Janette Vazquez, 2020, Journal of Clinical and Translational Science.

Sentiment Analysis of English and Tamil Tweets using Path Length Similarity based Word Sense Disambiguation

Tej Prasad Dhamala, U. Farooq, S. Abdelrahman, 2016 .

IWSMD: An Intelligent Web Service based Medical Diagnosis System

Ibrahim Farag, Samir E. AbdelRahman, S. Abdelrahman, 2008 .

Colorectal cancer risk based on extended family history and body mass index

L. Cannon-Albright, J. Farnham, S. Abdelrahman, 2020, Genetic epidemiology.

Leveraging Patient Similarity and Time Series Data in Healthcare Predictive Models

S. Abdelrahman, O. Sheng, M. Morid, 2017, ArXiv.

Continuous Predictive Modelling for Sepsis, Organ Failure, and In-hospital Mortality in the Intensive Care Unit

Karen Eilbeck, Samir E. AbdelRahman, Amber Kiser, 2019, AMIA.

PREFCA: A portal retrieval engine based on formal concept analysis

Reem Bahgat, Samir E. AbdelRahman, Eman Negm, 2017, Inf. Process. Manag..

Moonstone: a novel natural language processing system for inferring social risk from clinical narratives

Lee M. Christensen, W. Chapman, L. Walter, 2019, J. Biomed. Semant..

Temporal Pattern Detection to Predict Adverse Events in Critical Care: Case Study With Acute Kidney Injury

Guilherme Del Fiol, Mohammad Amin Morid, Bruce E Bray, 2020, JMIR medical informatics.

Automatic identification of recent high impact clinical articles in PubMed to support clinical decision making using time-agnostic features

Guilherme Del Fiol, Jianlin Shi, Samir E. AbdelRahman, 2019, J. Biomed. Informatics.

UESTS: An Unsupervised Ensemble Semantic Textual Similarity Method

Reem Bahgat, Ibrahim Farag, Basma Hassan, 2019, IEEE Access.

Supervised Learning Methods for Predicting Healthcare Costs: Systematic Literature Review and Empirical Evaluation

Kensaku Kawamoto, Samir E. AbdelRahman, Mohammad Amin Morid, 2017, AMIA.

The potential for leveraging machine learning to filter medication alerts

Thomas J. Reese, David El Halta, G. Fiol, 2022, J. Am. Medical Informatics Assoc..

Healthcare cost prediction: Leveraging fine-grain temporal patterns

Olivia R. Liu Sheng, Kensaku Kawamoto, Samir E. AbdelRahman, 2019, J. Biomed. Informatics.

Frequency tree for clustering categorical data with similarity measure based on items' weights

Mahmoud A. Mahdi, S. Abdelrahman, R. Bahgat, 2012 .

Estimating negotiation agreement zone using support vector machine with genetic algorithm

Reem Bahgat, George M. Farag, Samir El-Sayed AbdelRahman, 2010, 2010 The 7th International Conference on Informatics and Systems (INFOS).

Order Statistics Bayesian-Mining Agent Modelling for Automated Negotiation

Reem Bahgat, Samir E. AbdelRahman, George M. Farag, 2011, Informatica.

Using Biometric Data to Measure and Predict Emotional Engagement of Video Games

S. Abdelrahman, J. Facelli, Janette Vazquez, 2022, bioRxiv.

Learning Hidden Patterns from Patient Multivariate Time Series Data Using Convolutional Neural Networks: A Case Study of Healthcare Cost Prediction

Olivia R. Liu Sheng, Kensaku Kawamoto, Mohammad Amin Morid, 2020, J. Biomed. Informatics.

Applying semantic-based probabilistic context-free grammar to medical language processing - A preliminary study on parsing medication sentences

Son Doan, Hua Xu, Joshua C. Denny, 2011, J. Biomed. Informatics.

Frequency Tree clustering for ICU mortality analytics using graph databases

Bruce E. Bray, Samir E. AbdelRahman, S. Abdelrahman, 2016, 2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

The integration among disambiguation lexical resources for more effective phrase-level contextual polarity recognition

Reem Bahgat, Samir E. Abdelrahman, Ebtsam Abdelhakam Sayed, 2014, 2014 9th International Conference on Computer Engineering & Systems (ICCES).

A three-step approach for the derivation and validation of high-performing predictive models using an operational dataset: congestive heart failure readmission case study

Kensaku Kawamoto, Bruce E. Bray, Mingyuan Zhang, 2014, BMC Medical Informatics and Decision Making.

DisBlue+: A distributed annotation-based C# compiler

Samir E. AbdelRahman, Amr M. AbdelLatif, S. Abdelrahman, 2010 .

Integrated Machine Learning Techniques for Arabic Named Entity Recognition

Marwa Magdy, Aly A. Fahmy, Samir E. AbdelRahman, 2010 .

Temporal Pattern Detection to Predict Adverse Events in Critical Care: Case Study With Acute Kidney Injury

G. Del Fiol, S. Abdelrahman, J. Facelli, 2019, JMIR medical informatics.

Leveraging Time Series Data in Similarity Based Healthcare Predictive Models: The Case of Early ICU Mortality Prediction

Olivia R. Liu Sheng, Samir E. AbdelRahman, Mohammad Amin Morid, 2017, AMCIS.

Moonstone: a novel natural language processing system for inferring social risk from clinical narratives

Mike Conway, Danielle L. Mowery, Wendy W. Chapman, 2019, Journal of Biomedical Semantics.

BluLab: Temporal Information Extraction for the 2015 Clinical TempEval Challenge

Danielle L. Mowery, Wendy W. Chapman, Lee M. Christensen, 2015, *SEMEVAL.

An initial study of full parsing of clinical text using the Stanford Parser

Hua Xu, Min Jiang, Yang Huang, 2011, 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW).

Towards a Generalizable Time Expression Model for Temporal Reasoning in Clinical Notes

Danielle L. Mowery, Wendy W. Chapman, Lee M. Christensen, 2015, AMIA.

A Machine Learning Approach For Opinion Holder Extraction In Arabic Language pdf

Aly A. Fahmy, Samir E. AbdelRahman, Mohamed Elarnaoty, 2012, ArXiv.