COVID-19 is a pandemic that has spread over 185 countries. As of this writing on July 29th there are more than 17M people confirmed symptomatic. A lot more people are assumed to be exposed and asymptomatic, based on the seroprevalence studies. The disease incubation period ranges from 2 to 14 days and in some cases up to 19 days, and the infectious period on an average is about 8 to 15 days. The disease characteristics range from respiratory to anorexia to digestive. The basic reproduction number Ro i.e. the average number of people infected by one person is documented to range from 2 to 6 according to various studies. All these diverse statistics make it hard to handle this disease. The therapeutic options are also very nascent till a vaccine is discovered. Given these challenging conditions, the data science community has risen to the challenges and seeking to make a difference.
Health Day at KDD is now a premier venue for leaders in AI/ML and Healthcare to discuss major issues facing all aspects of human health; from drug-discovery to epidemiology, from chronic disease management to cost prediction modeling.
Join us to witness these exceptional talks from the best in the world as to how they tackle COVID.
Peipei Ping, PhD, UCLA,; Wendy Nilsen, NSF;
This panel with leaders from NSF and NIH will discuss the impact of COVID-19 on research funding and how the research community is adapting to this change. We will focus on the various important aspects that NSF and NIH focuses on during this pandemic.
Vincent Liu, Kaiser Permanente; Sravanthi Parasa, Swedish.org; Eric Eskioglu, Novant Health
Covid-19 has impacted all health systems worldwide. This panel with leaders from key health systems will underscore the importance of AI and machine learning that these leading institutions are adopting to battle COVID-19 both short term and long term.
|Accepted for oral presentation||Citation|
|Data-driven Simulation and Optimization for COVID-19 Exit Strategies||Salah Ghamizi, Renaud Rwemalika, Maxime Cordy, Lisa Veiber, Tegawendé F. Bissyandé, Mike Papadakis, Jacques Klein and Yves Le Traon|
|Learning to Simulate Human Mobility||Jie Feng, Zeyu Yang, Fengli Xu, Haisu Yu, Mudan Wang and Yong Li|
|Understanding the Impact of the COVID-19 Pandemic on Transportation-related Behaviors with Human Mobility Data||Jizhou Huang, Haifeng Wang, Miao Fan, An Zhuo, Yibo Sun and Ying Li|
|Simulating the Impact of Hospital Capacity and Social Isolation to Minimize the Propagation of Infectious Diseases||Shaon Bhatta Shuvo, Bonaventure C. Molokwu and Ziad Kobti|
|Effective Transfer Learning for Identifying Similar Questions: Matching User Questions to COVID-19 FAQs||Clara McCreery, Namit Katariya, Anitha Kannan, Manish Chablani and Xavier Amatriain|
|Hi-COVIDNet: Deep Learning Approach to Predict Inbound COVID-19 Patients and Case Study in South Korea
||Minseok Kim, Junhyeok Kang, Doyoung Kim, Hwanjun Song, Hyangsuk Min, Youngeun Nam, Dongmin Park and Jae-Gil Lee|
|Exploring Automatic Diagnosis of COVID-19 from Crowdsourced Respiratory Sound Data
||Chloe Brown, Jagmohan Chauhan, Andreas Grammenos, Jing Han, Apinan Hastanasombat, Dimitris Spathis, Tong Xia, Pietro Cicuta and Cecilia Mascolo|
|Understanding the Urban Pandemic Spreading of COVID-19 with Real-World Mobility Data
||Qianyue Hao, Lin Chen, Fengli Xu and Yong Li|
|Accepted for Poster Presentation||Citation||Video|
|A Fast Online COVID-19 Diagnostic System with Chest CT Scans||Bin Liu, Xiaoxue Gao, Mengshuang He, Lin Liu and Guosheng Yin|
|Rolling Interventions for Controlling COVID-19 Outbreaks in the UK to Reduce Healthcare Demand||Po Yang, Jun Qi, Yun Yang, Gaoshan Bi and Shuhao Zhang|
|COVID-19 Evolves in Human Hosts||Yanni Li, Bing Liu, Zhi Wang, Jiangtao Cui, Kaicheng Yao, Pengfan Lv, Yulong Shen, Yueshen Xu, Yuanfang Guan and Xiaoke Ma|
|Reinforced Epidemic Control: Saving Both Lives and Economy||Sirui Song, Zefang Zong, Yong Li, Xue Liu and Yang Yu|
|AI prognostication tool for severe community-acquired pneumonia and COVID-19 respiratory infections||Hanleong Goh, Charlene Liew, Jessica Quah, Tian Yi Lu, Jenny Zou, Clarence Ngoh, Beverly Wang, Juan Zhen Koh, Christine Ang, Narayan Venkataraman, Zhiyan Fu and Andy Ta|
|A knowledge transfer model for COVID-19 predicting and non-pharmaceutical intervention simulation||Jingyuan Wang, Xin Lin, Yuxi Liu, Qilegeri, Kai Feng and Hui Lin|
|Data-driven Identification of Number of Unreported Cases for COVID-19: Bounds and Limitations||Ajitesh Srivastava and Viktor Prasanna|
|A Statistical Model for Quantifying the Needed Duration of Social Distancing for the COVID-19 Pandemic||Nadav Rakocz, Boyang Fu, Eran Halperin and Sriram Sankararaman|
|Navigating the landscape of COVID-19 research through literature analysis: A bird’s eye view
Lana Yeganova §, Rezarta Islamaj §, Qingyu Chen, Robert Leaman, Alexis Allot, Chin-Hsuan Wei, Donald C. Comeau, Won Kim, Yifan Peng, W. John Wilbur, Zhiyong Lu
|Ankur Teredesai, UW, KenSci||Taposh Roy, Kaiser Permanente|
Program Committee Co-chairs:
|Iryna Skrypnyk||Muhammad Aurangzeb Ahmed|
|Prasanna Desikan||Rui Yan||Sekou Remy||John Krumm||Kiyana Zolfagar|
|Drew Clausen||Athirai Irissappane||Vikas Kumar||Anudha Mittal||Ilker Yaramis|
|Oliver Bent||Prithwish Chakraborty||Abdeltawab Hendawi||Juhua Hu||Joseph Lewnard|
|Vaishali Desai||Carly Eckert||Kyle Johnson||John Sanil Manavalan||Oinam Nganba Meetei|
|Balaji Polepalli Ramesh||Mikhail Teverovskiy||Vivek Khetan|