2020 Workshop on Data Science in Biomedicine, December 11, 2020, EST, Virtual Event
Time
Title
Presenter/Author
9-9:30
Keynote: The Big Short with AI in Biomedical Sciences: from Prediction to Action
Jiang Bian, Yi Guo, and Mattia Prosperi
9:30-9:50
Personal Digital Life Coach for Physical Therapy
Goce Popovski, Vasco Ponciano, Gonçalo Marques, Ivan Miguel Pires, Eftim Zdravevski, and Nuno M. Garcia
9:50-10:10
Control and Prevention of Personal Stress
Hugo Marques, Hugo Carvalho, José Morgado, Nuno M. Garcia, Ivan Miguel Pires, and Eftim Zdravevski
10:10-10:30
Features Importance to Improve Interpretability of Chronic Kidney Disease Early Diagnosis
Pedro A. Moreno-Sanchez
10:30-10:50
Comparative analysis of machine learning methods for analyzing security practice in electronic health records' logs
Prosper K. Yeng, Muhammad Ali Fauzi, and Bian Yang
10:50-11:10
E-health and M-health applications in Georgia: A review on the free available applications for Android Devices
Salome Oniani, Gonçalo Marques, Ivan Miguel Pires, Salome Muhkashavria, and Nuno M. Garcia
11:10-11:30
Diseases identification with big data concept – The older people community
André Esteves, Vasco Ponciano, and Ivan Miguel Pires
11:30-11:50
Coffee Break
11:50-12:10
Exploration of links between anxiety purchases, deprivation and personality traits
Vanja Ljevar, James Goulding, and Gavin Smith
12:10-12:30
Reducing Reporting Burden of Healthcare Data Using Robust Principal Component Analysis
Les Servi, Randy Paffenroth, Melanie Jutras, and Deon Burchett
12:30-12:50
Mining Concepts for a COVID Interface Terminology for Annotation of EHRs
Vipina Keloth, Shuxin Zhou, Luke Lindemann, Gai Elhanan, Andrew Einstein, James Geller, and Yehoshua Perl
12:50-1:10
Lung Pattern Classification Via DCNN
Jing Selena He, Meng Han, Lei Yu, and Chao Mei
1:10-1:30
Attention-Based LSTM Network for COVID-19 Clinical Trial Parsing
Xiong Liu, Luca A. Finelli, Greg L. Hersch, and Iya Khalil
1:30-1:50
Challenges and Barriers in Applying Natural Language Processing to Medical Examiner Notes from Fatal Opioid Poisoning Cases
Daniel Harris, Christian Eisinger, Yanning Wang, and Chris Delcher
1:50-2:10
An Empirical Study on Efficiency of a Dictionary Based Viterbi Algorithm for Word Segmentation
Sudhir Aggarwal, Shiva Houshmand, Tathagata Mukherjee, and James Parsons
2:10-2:30
Coffee Break
2:30-2:50
Clinical Sublanguage Trend and Usage Analysis from a Large Clinical Corpus
Yijun Shao, Guy Divita, Terri Elizabeth Workman, Doug Redd, Jennifer Garvin, and Qing Zeng-Treitler
2:50-3:10
Visualizing Effects of COVID-19 Social Isolation with Residential Activity Big Data Sensor Data
Anuradha Rajkumar, Bruce Wallace, Laura Ault, Julien Larivière-Chartier, Frank Knoefel, Rafik Goubran, Jeff Kaye, and Neil Thomas
3:10-3:30
A Cancelable Multi-Modal Biometric Based Encryption Scheme for Medical Images
Alycia Carey and Justin Zhan
3:30-3:50
Predicting Clinical Deterioration in Hospitals
Laleh Jalali, Hsiu-Khuern Tang, Richard Goldstein, and joaquin Alvarez Rodriguez
3:50-4:10
Examining Deep Learning Models with Multiple Data Sources for COVID-19 Forecasting
Lijing Wang, Aniruddha Adiga, Srinivasan Venkatramanan, Jiangzhuo Chen, Bryan Lewis, and Madhav Marathe
4:10-4:30
A Machine Learning Based Modeling of the Cytokine Storm as it Relates to COVID-19 Using a Virtual Clinical Semantic Network (vCSN)
Abrar Rahman, John Kriak, Rick Meyer, Sidney Goldblatt, and Fuad Rahman
4:30-4:50
Patterns of retinal nerve fiber layer loss in patients with glaucoma identified by deep archetypal analysis
Sidharth Mahotra and Siamak yousefi
4:50-5:10
Analyzing Adverse Event Signal Detection with Publicly Available Web Sources
Alex Salamun, Stephanie Duque, and Praveen Madiraju
5:10
Closing Remarks
Title
Presenter/Author
9-9:30
Keynote: The Big Short with AI in Biomedical Sciences: from Prediction to Action
Jiang Bian, Yi Guo, and Mattia Prosperi
9:30-9:50
Personal Digital Life Coach for Physical Therapy
Goce Popovski, Vasco Ponciano, Gonçalo Marques, Ivan Miguel Pires, Eftim Zdravevski, and Nuno M. Garcia
9:50-10:10
Control and Prevention of Personal Stress
Hugo Marques, Hugo Carvalho, José Morgado, Nuno M. Garcia, Ivan Miguel Pires, and Eftim Zdravevski
10:10-10:30
Features Importance to Improve Interpretability of Chronic Kidney Disease Early Diagnosis
Pedro A. Moreno-Sanchez
10:30-10:50
Comparative analysis of machine learning methods for analyzing security practice in electronic health records' logs
Prosper K. Yeng, Muhammad Ali Fauzi, and Bian Yang
10:50-11:10
E-health and M-health applications in Georgia: A review on the free available applications for Android Devices
Salome Oniani, Gonçalo Marques, Ivan Miguel Pires, Salome Muhkashavria, and Nuno M. Garcia
11:10-11:30
Diseases identification with big data concept – The older people community
André Esteves, Vasco Ponciano, and Ivan Miguel Pires
11:30-11:50
Coffee Break
11:50-12:10
Exploration of links between anxiety purchases, deprivation and personality traits
Vanja Ljevar, James Goulding, and Gavin Smith
12:10-12:30
Reducing Reporting Burden of Healthcare Data Using Robust Principal Component Analysis
Les Servi, Randy Paffenroth, Melanie Jutras, and Deon Burchett
12:30-12:50
Mining Concepts for a COVID Interface Terminology for Annotation of EHRs
Vipina Keloth, Shuxin Zhou, Luke Lindemann, Gai Elhanan, Andrew Einstein, James Geller, and Yehoshua Perl
12:50-1:10
Lung Pattern Classification Via DCNN
Jing Selena He, Meng Han, Lei Yu, and Chao Mei
1:10-1:30
Attention-Based LSTM Network for COVID-19 Clinical Trial Parsing
Xiong Liu, Luca A. Finelli, Greg L. Hersch, and Iya Khalil
1:30-1:50
Challenges and Barriers in Applying Natural Language Processing to Medical Examiner Notes from Fatal Opioid Poisoning Cases
Daniel Harris, Christian Eisinger, Yanning Wang, and Chris Delcher
1:50-2:10
An Empirical Study on Efficiency of a Dictionary Based Viterbi Algorithm for Word Segmentation
Sudhir Aggarwal, Shiva Houshmand, Tathagata Mukherjee, and James Parsons
2:10-2:30
Coffee Break
2:30-2:50
Clinical Sublanguage Trend and Usage Analysis from a Large Clinical Corpus
Yijun Shao, Guy Divita, Terri Elizabeth Workman, Doug Redd, Jennifer Garvin, and Qing Zeng-Treitler
2:50-3:10
Visualizing Effects of COVID-19 Social Isolation with Residential Activity Big Data Sensor Data
Anuradha Rajkumar, Bruce Wallace, Laura Ault, Julien Larivière-Chartier, Frank Knoefel, Rafik Goubran, Jeff Kaye, and Neil Thomas
3:10-3:30
A Cancelable Multi-Modal Biometric Based Encryption Scheme for Medical Images
Alycia Carey and Justin Zhan
3:30-3:50
Predicting Clinical Deterioration in Hospitals
Laleh Jalali, Hsiu-Khuern Tang, Richard Goldstein, and joaquin Alvarez Rodriguez
3:50-4:10
Examining Deep Learning Models with Multiple Data Sources for COVID-19 Forecasting
Lijing Wang, Aniruddha Adiga, Srinivasan Venkatramanan, Jiangzhuo Chen, Bryan Lewis, and Madhav Marathe
4:10-4:30
A Machine Learning Based Modeling of the Cytokine Storm as it Relates to COVID-19 Using a Virtual Clinical Semantic Network (vCSN)
Abrar Rahman, John Kriak, Rick Meyer, Sidney Goldblatt, and Fuad Rahman
4:30-4:50
Patterns of retinal nerve fiber layer loss in patients with glaucoma identified by deep archetypal analysis
Sidharth Mahotra and Siamak yousefi
4:50-5:10
Analyzing Adverse Event Signal Detection with Publicly Available Web Sources
Alex Salamun, Stephanie Duque, and Praveen Madiraju
5:10
Closing Remarks