Analysis of Online Social Networks to Understand Information Sharing Behaviors Through Social Cognitive Theory

Por Yoon, Hong-Jun, Tourassi, Georgia
Publicado no Annu ORNL Biomed Sci Eng Cent Conf (2014)

Investigating the Association Between Sociodemographic Factors and Lung Cancer Risk Using Cyber Informatics

Por Yoon, Hong-Jun, Tourassi, Georgia
Publicado no IEEE EMBS Int Conf Biomed Health Inform (2016)

Operating characteristics predicted by models for diagnostic tasks involving lesion localization

Por Chakraborty, D. P., Yoon, Hong-Jun
Publicado em 2008

A user-oriented web crawler for selectively acquiring online content in e-health research

Por Xu, Songhua, Yoon, Hong-Jun, Tourassi, Georgia
Publicado em 2014

A cost-effective, case-control study on the association between breast cancer and pregnancy through web mining

Por Yoon, Hong-Jun, Xu, Songhua, Tourassi, Georgia
Publicado no Annu ORNL Biomed Sci Eng Cent Conf (2013)

Residential Mobility and Lung Cancer Risk: Data-Driven Exploration Using Internet Sources

Por Yoon, Hong-Jun, Tourassi, Georgia, Xu, Songhua
Publicado no Soc Comput Behav Cult Model Predict (2015) (2015)

A novel web informatics approach for automated surveillance of cancer mortality trends()

Por Tourassi, Georgia, Yoon, Hong-Jun, Xu, Songhua
Publicado no J Biomed Inform (2016)

Predicting Lung Cancer Incidence from Air Pollution Exposures Using Shapelet-based Time Series Analysis

Por Yoon, Hong-Jun, Xu, Songhua, Tourassi, Georgia
Publicado no IEEE EMBS Int Conf Biomed Health Inform (2016)

Spatial localization accuracy of radiologists in free-response studies: inferring perceptual FROC curves from mark-rating data

Por Chakraborty, Dev, Yoon, Hong-Jun, Mello-Thoms, Claudia
Publicado em 2007

The Role of Work-Family Balance Policy for Enhancing Social Sustainability: A Choice Experiment Analysis of Koreans in their Twenties and Thirties

Por Oh, Inha, Hwang, Won-Sik, Yoon, Hong Jun
Publicado no Int J Environ Res Public Health (2019)

Application of threshold-bias independent analysis to eye-tracking and FROC data

Por Chakraborty, Dev P., Yoon, Hong-Jun, Mello-Thoms, Claudia
Publicado em 2012

Extracting Patient Demographics and Personal Medical Information from Online Health Forums

Por Liu, Yang, Xu, Songhua, Yoon, Hong-Jun, Tourassi, Georgia
Publicado no AMIA Annu Symp Proc (2014)

The utility of web mining for epidemiological research: studying the association between parity and cancer risk

Por Tourassi, Georgia, Yoon, Hong-Jun, Xu, Songhua, Han, Xuesong
Publicado no J Am Med Inform Assoc (2016)

Modeling sequential context effects in diagnostic interpretation of screening mammograms

Por Alamudun, Folami, Paulus, Paige, Yoon, Hong-Jun, Tourassi, Georgia
Publicado no J Med Imaging (Bellingham) (2018)

Evaluating Computer Aided Detection (CAD) Algorithms

Por Yoon, Hong Jun, Zheng, Bin, Sahiner, Berkman, Chakraborty, Dev P.
Publicado em 2007

Correlation of free-response and receiver-operating-characteristic area-under-the-curve estimates: Results from independently conducted FROC/ROC studies in mammography

Por Zanca, Federica, Hillis, Stephen L., Claus, Filip, Van Ongeval, Chantal, Celis, Valerie, Provoost, Veerle, Yoon, Hong-Jun, Bosmans, Hilde
Publicado em 2012

Hierarchical attention networks for information extraction from cancer pathology reports

Por Gao, Shang, Young, Michael T, Qiu, John X, Yoon, Hong-Jun, Christian, James B, Fearn, Paul A, Tourassi, Georgia D, Ramanthan, Arvind
Publicado no J Am Med Inform Assoc (2018)

Automatic extraction of cancer registry reportable information from free-text pathology reports using multitask convolutional neural networks

Por Alawad, Mohammed, Gao, Shang, Qiu, John X, Yoon, Hong Jun, Blair Christian, J, Penberthy, Lynne, Mumphrey, Brent, Wu, Xiao-Cheng, Coyle, Linda, Tourassi, Georgia
Publicado no J Am Med Inform Assoc (2019)

Scalable deep text comprehension for Cancer surveillance on high-performance computing

Por 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.
Publicado no BMC Bioinformatics (2018)

Deep active learning for classifying cancer pathology reports

Por De Angeli, Kevin, Gao, Shang, Alawad, Mohammed, Yoon, Hong-Jun, Schaefferkoetter, Noah, Wu, Xiao-Cheng, Durbin, Eric B., Doherty, Jennifer, Stroup, Antoinette, Coyle, Linda, Penberthy, Lynne, Tourassi, Georgia
Publicado no BMC Bioinformatics (2021)