Search Results - "Park, Briton"

Modeling the spread of the Zika virus using topological data analysis by Lo, Derek, Park, Briton

“…Zika virus (ZIKV), a disease spread primarily through the Aedes aegypti mosquito, was identified in Brazil in 2015 and was declared a global health emergency…”
Get full text

Curating a COVID-19 Data Repository and Forecasting County-Level Death Counts in the United States by Nick Altieri, Rebecca L Barter, James Duncan, Raaz Dwivedi, Karl Kumbier, Xiao Li, Robert Netzorg, Briton Park, Chandan Singh, Yan Shuo Tan, Tiffany Tang, Yu Wang, Chao Zhang, Bin Yu

Get full text

Machine Learning for Information Extraction from Pathology Reports and Adaptive Offline Value Estimation in Reinforcement Learning by Park, Briton

“…The thesis is divided into two parts. The first part focuses on a healthcare-related application of machine learning, and the second part focuses on offline…”
Get full text

Supervised line attention for tumor attribute classification from pathology reports: Higher performance with less data by Altieri, Nicholas, Park, Briton, Olson, Mara, DeNero, John, Odisho, Anobel Y., Yu, Bin

“…[Display omitted] •Annotating clinical documents is costly and time consuming.•Performance of natural language processing methods is limited in small data…”
Get full text

Stable Discovery of Interpretable Subgroups via Calibration in Causal Studies by Dwivedi, Raaz, Tan, Yan Shuo, Park, Briton, Wei, Mian, Horgan, Kevin, Madigan, David, Yu, Bin

“…Summary Building on Yu and Kumbier's predictability, computability and stability (PCS) framework and for randomised experiments, we introduce a novel…”
Get full text

Improving natural language information extraction from cancer pathology reports using transfer learning and zero-shot string similarity by Park, Briton, Altieri, Nicholas, DeNero, John, Odisho, Anobel Y, Yu, Bin

“…We develop natural language processing (NLP) methods capable of accurately classifying tumor attributes from pathology reports given minimal labeled examples…”
Get full text

Natural language processing systems for pathology parsing in limited data environments with uncertainty estimation by Odisho, Anobel Y, Park, Briton, Altieri, Nicholas, DeNero, John, Cooperberg, Matthew R, Carroll, Peter R, Yu, Bin

“…Cancer is a leading cause of death, but much of the diagnostic information is stored as unstructured data in pathology reports. We aim to improve uncertainty…”
Get full text

Distributions of Mutational Effects and the Estimation of Directional Selection in Divergent Lineages of Arabidopsis thaliana by Park, Briton, Rutter, Matthew T, Fenster, Charles B, Symonds, V Vaughan, Ungerer, Mark C, Townsend, Jeffrey P

“…Mutations are crucial to evolution, providing the ultimate source of variation on which natural selection acts. Due to their key role, the distribution of…”
Get full text

PD58-09 EXTRACTING STRUCTURED INFORMATION FROM PATHOLOGY REPORTS USING NATURAL LANGUAGE PROCESSING AND MACHINE LEARNING by Odisho, Anobel, Park, Briton, Altieri, Nicholas, Murdoch, William, Carroll, Peter, Coopberberg, Matthew, Yu, Bin

Get full text

Modeling the spread of the Zika virus using topological data analysis by Lo, Derek, Park, Briton

“…Zika virus (ZIKV), a disease spread primarily through the Aedes aegypti mosquito, was identified in Brazil in 2015 and was declared a global health emergency…”
Get full text

Diagnosing Transformers: Illuminating Feature Spaces for Clinical Decision-Making by Hsu, Aliyah R, Cherapanamjeri, Yeshwanth, Park, Briton, Naumann, Tristan, Odisho, Anobel Y, Yu, Bin

“…Pre-trained transformers are often fine-tuned to aid clinical decision-making using limited clinical notes. Model interpretability is crucial, especially in…”
Get full text

Enriched Annotations for Tumor Attribute Classification from Pathology Reports with Limited Labeled Data by Altieri, Nick, Park, Briton, Olson, Mara, DeNero, John, Odisho, Anobel, Yu, Bin

“…Precision medicine has the potential to revolutionize healthcare, but much of the data for patients is locked away in unstructured free-text, limiting research…”
Get full text

Stable discovery of interpretable subgroups via calibration in causal studies by Dwivedi, Raaz, Tan, Yan Shuo, Park, Briton, Wei, Mian, Horgan, Kevin, Madigan, David, Yu, Bin

“…Building on Yu and Kumbier's PCS framework and for randomized experiments, we introduce a novel methodology for Stable Discovery of Interpretable Subgroups via…”
Get full text

Curating a COVID-19 data repository and forecasting county-level death counts in the United States by Altieri, Nick, Barter, Rebecca L, Duncan, James, Dwivedi, Raaz, Kumbier, Karl, Li, Xiao, Netzorg, Robert, Park, Briton, Singh, Chandan, Tan, Yan Shuo, Tang, Tiffany, Wang, Yu, Zhang, Chao, Yu, Bin

“…Published in Harvard Data Science Review, 2020 As the COVID-19 outbreak evolves, accurate forecasting continues to play an extremely important role in…”
Get full text