Search Results - "Christian, J. Blair"

A pre-training and self-training approach for biomedical named entity recognition by Gao, Shang, Kotevska, Olivera, Sorokine, Alexandre, Christian, J Blair

“…Named entity recognition (NER) is a key component of many scientific literature mining tasks, such as information retrieval, information extraction, and…”
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Automatic extraction of cancer registry reportable information from free-text pathology reports using multitask convolutional neural networks by Alawad, Mohammed, Gao, Shang, Qiu, John X, Yoon, Hong Jun, Blair Christian, J, Penberthy, Lynne, Mumphrey, Brent, Wu, Xiao-Cheng, Coyle, Linda, Tourassi, Georgia

“…Abstract Objective We implement 2 different multitask learning (MTL) techniques, hard parameter sharing and cross-stitch, to train a word-level convolutional…”
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Inferring the spread of COVID-19: the role of time-varying reporting rate in epidemiological modelling by Spannaus, Adam, Papamarkou, Theodore, Erwin, Samantha, Christian, J. Blair

“…The role of epidemiological models is crucial for informing public health officials during a public health emergency, such as the COVID-19 pandemic. However,…”
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Knowledge Graph-Enabled Cancer Data Analytics by Hasan, S.M.Shamimul, Rivera, Donna, Wu, Xiao-Cheng, Durbin, Eric B., Christian, J. Blair, Tourassi, Georgia

“…Cancer registries collect unstructured and structured cancer data for surveillance purposes which provide important insights regarding cancer characteristics,…”
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A Keyword-Enhanced Approach to Handle Class Imbalance in Clinical Text Classification by Blanchard, Andrew E., Gao, Shang, Yoon, Hong-Jun, Christian, J. Blair, Durbin, Eric B., Wu, Xiao-Cheng, Stroup, Antoinette, Doherty, Jennifer, Schwartz, Stephen M., Wiggins, Charles, Coyle, Linda, Penberthy, Lynne, Tourassi, Georgia D.

“…Recent applications ofdeep learning have shown promising results for classifying unstructured text in the healthcare domain. However, the reliability of models…”
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Scalable deep text comprehension for Cancer surveillance on high-performance computing by Qiu, John X, Yoon, Hong-Jun, Srivastava, Kshitij, Watson, Thomas P, Blair Christian, J, Ramanathan, Arvind, Wu, Xiao C, Fearn, Paul A, Tourassi, Georgia D

“…Deep Learning (DL) has advanced the state-of-the-art capabilities in bioinformatics applications which has resulted in trends of increasingly sophisticated and…”
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Accelerated training of bootstrap aggregation-based deep information extraction systems from cancer pathology reports by Yoon, Hong-Jun, Klasky, Hilda B., Gounley, John P., Alawad, Mohammed, Gao, Shang, Durbin, Eric B., Wu, Xiao-Cheng, Stroup, Antoinette, Doherty, Jennifer, Coyle, Linda, Penberthy, Lynne, Blair Christian, J., Tourassi, Georgia D.

“…In machine learning, it is evident that the classification of the task performance increases if bootstrap aggregation (bagging) is applied. However, the…”
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Development of message passing-based graph convolutional networks for classifying cancer pathology reports by Yoon, Hong-Jun, Klasky, Hilda B, Blanchard, Andrew E, Christian, J Blair, Durbin, Eric B, Wu, Xiao-Cheng, Stroup, Antoinette, Doherty, Jennifer, Coyle, Linda, Penberthy, Lynne, Tourassi, Georgia D

“…Applying graph convolutional networks (GCN) to the classification of free-form natural language texts leveraged by graph-of-words features (TextGCN) was…”
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Optimal vocabulary selection approaches for privacy-preserving deep NLP model training for information extraction and cancer epidemiology by Yoon, Hong-Jun, Stanley, Christopher, Christian, J Blair, Klasky, Hilda B, Blanchard, Andrew E, Durbin, Eric B, Wu, Xiao-Cheng, Stroup, Antoinette, Doherty, Jennifer, Schwartz, Stephen M, Wiggins, Charles, Damesyn, Mark, Coyle, Linda, Tourassi, Georgia D

“…With the use of artificial intelligence and machine learning techniques for biomedical informatics, security and privacy concerns over the data and subject…”
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Near real time monitoring and forecasting for COVID-19 situational awareness by Stewart, Robert, Erwin, Samantha, Piburn, Jesse, Nagle, Nicholas, Kaufman, Jason, Peluso, Alina, Christian, J. Blair, Grant, Joshua, Sorokine, Alexandre, Bhaduri, Budhendra

“…In the opening months of the pandemic, the need for situational awareness was urgent. Forecasting models such as the Susceptible-Infectious-Recovered (SIR)…”
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Retrofitting Word Embeddings with the UMLS Metathesaurus for Clinical Information Extraction by Alawad, Mohammed, Hasan, S.M. Shamimul, Blair Christian, J., Tourassi, Georgia

“…Deep learning has surged in popularity and proven to be effective for various artificial intelligence applications including information extraction from cancer…”
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Deep Transfer Learning Across Cancer Registries for Information Extraction from Pathology Reports by Alawad, Mohammed, Gao, Shang, Qiu, John, Schaefferkoetter, Noah, Hinkle, Jacob D., Yoon, Hong-Jun, Christian, J. Blair, Wu, Xiao-Cheng, Durbin, Eric B., Jeong, Jong Cheol, Hands, Isaac, Rust, David, Tourassi, Georgia

“…Automated text information extraction from cancer pathology reports is an active area of research to support national cancer surveillance. A well-known…”
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Knowledge Graph-Enabled Cancer Data Analytics by Hasan, S. M. Shamimul, Rivera, Donna, Wu, Xiao-Cheng, Durbin, Eric B., Christian, J. Blair, Tourassi, Georgia

“…Cancer registries collect unstructured and structured cancer data for surveillance purposes which provide important insights regarding cancer characteristics,…”
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Accelerated training of bootstrap aggregation-based deep information extraction systems from cancer pathology reports by Yoon, Hong-Jun, Klasky, Hilda B., Gounley, John P., Alawad, Mohammed, Gao, Shang, Durbin, Eric B., Wu, Xiao-Cheng, Stroup, Antoinette, Doherty, Jennifer, Coyle, Linda, Penberthy, Lynne, Blair Christian, J., Tourassi, Georgia D.

“…Objective: In machine learning, it is apparent that the classification of the task performance increases if bootstrap aggregation (bagging) is applied…”
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Accelerated training of bootstrap aggregation-based deep information extraction systems from cancer pathology reports by Yoon, Hong-Jun, Klasky, Hilda B., Gounley, John P., Alawad, Mohammed, Gao, Shang, Durbin, Eric B., Wu, Xiao-Cheng, Stroup, Antoinette, Doherty, Jennifer, Coyle, Linda, Penberthy, Lynne, Christian, J. Blair, Tourassi, Georgia

“…Objective: In machine learning, it is apparent that the classification of the task performance increases if bootstrap aggregation (bagging) is applied…”
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Inferring the spread of COVID-19: the role of time-varying reporting rate in epidemiological modelling by Spannaus, Adam, Papamarkou, Theodore, Erwin, Samantha, Christian, J. Blair

“…The role of epidemiological models is crucial for informing public health officials during a public health emergency, such as the COVID-19 pandemic. However,…”
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Filter pruning of Convolutional Neural Networks for text classification: A case study of cancer pathology report comprehension by Yoon, Hong-Jun, Robinson, Sarah, Christian, J. Blair, Qiu, John X., Tourassi, Georgia D.

“…Convolutional Neural Networks (CNN) have recently demonstrated effective performance in many Natural Language Processing tasks. In this study, we explore a…”
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Integration of Domain Knowledge using Medical Knowledge Graph Deep Learning for Cancer Phenotyping by Alawad, Mohammed, Gao, Shang, Shekar, Mayanka Chandra, Hasan, S. M. Shamimul, Christian, J. Blair, Wu, Xiao-Cheng, Durbin, Eric B, Doherty, Jennifer, Stroup, Antoinette, Coyle, Linda, Penberthy, Lynne, Tourassi, Georgia

“…A key component of deep learning (DL) for natural language processing (NLP) is word embeddings. Word embeddings that effectively capture the meaning and…”
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A Knowledge Graph Approach for the Secondary Use of Cancer Registry Data by Hasan, S.M. Shamimul, Rivera, Donna, Wu, Xiao-Cheng, Christian, J. Blair, Tourassi, Georgia

“…Population-based central cancer registries collect valuable structured and unstructured cancer data primarily for surveillance and reporting. The collected…”
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