Preliminary Program (PM US Eastern Time)
1:00–1:05 Opening Remarks
1:05–1:50 Keynote from Milind Tambe
1:50–2:35 Keynote from Temiloluwa O. Prioleau
2:35–3:10 Accepted paper lightning talks
3:10–3:20 Break
3:20–4:20 Oral presentations for best papers
4:20–5:00 Panel discussions on data mining and healthcare
Accepted Papers
- Yuan Yuan, Jingtao Ding, Huandong Wang, Depeng Jin and Yong Li. Activity Trajectory Generation via Modeling Spatiotemporal Dynamics
- Weijie He and Ting Chen. Scalable Online Disease Diagnosis via Multi-Model-Fused Actor-Critic Reinforcement Learning
- Jiangzhuo Chen, Stefan Hoops, Achla Marathe, Henning Mortveit, Bryan Lewis, Srinivasan Venkatramanan, Arash Haddadan, Parantapa Bhattacharya, Abhijin Adiga, Anil Vullikanti, Aravind Srinivasan, Mandy Wilson, Gal Ehrlich, Maier Fenster, Stephen Eubank, Christopher Barrett and Madhav Marathe. Effective Social Network-Based Allocation of COVID-19 Vaccines
- Yu Zhao, Yunxin Li, Yuxiang Wu, Baotian Hu, Qingcai Chen, Xiaolong Wang, Yuxin Ding and Min Zhang. Medical Dialogue Response Generation with Pivotal Information Recalling
- Ziyang Song, Yuanyi Hu, Aman Verma, David Buckeridge and Yue Li. Automatic Phenotyping by a Seed-guided Topic Model
- Mengying Sun, Jing Xing, Han Meng, Huijun Wang, Bin Chen and Jiayu Zhou. MolSearch: Search-based Multi-objective Molecular Generation and Property Optimization
- Babaniyi Olaniyi, Ana Fernández del Río, África Periáñez and Lauren Bellhouse. User Engagement and Churn in Mobile Health Applications
- Carl Yang*, Hongwen Song*, Mingyue Tang, Leon Danon and Ymir Vigfusson. Dynamic Network Anomaly Modeling of Cell-Phone Call Detail Records for Infectious Disease Surveillance
- Qianyue Hao, Wenzhen Huang, Fengli Xu, Kun Tang and Yong Li. Reinforcement Learning Enhances the Experts: Large-scale COVID-19 Vaccine Allocation with Multi-factor Contact Network
- Yi Yang*, Yanqiao Zhu*, Hejie Cui, Xuan Kan, Lifang He, Ying Guo and Carl Yang. Data Efficient Learning for Cross-Dataset Brain Network Analysis
Best Papers
- Ziyang Song, Yuanyi Hu, Aman Verma, David Buckeridge and Yue Li. Automatic Phenotyping by a Seed-guided Topic Model
- Mengying Sun, Jing Xing, Han Meng, Huijun Wang, Bin Chen and Jiayu Zhou. MolSearch: Search-based Multi-objective Molecular Generation and Property Optimization
- Carl Yang*, Hongwen Song*, Mingyue Tang, Leon Danon and Ymir Vigfusson. Dynamic Network Anomaly Modeling of Cell-Phone Call Detail Records for Infectious Disease Surveillance
Call for Papers
KDD 2022 Health Day is a forum aiming at bringing together the researchers and practitioners working on data science and health worldwide. We have renowned speakers to deliver keynote talks and panel discussions to share their insights of this exciting interdisciplinary area. We will also solicit high quality contributed papers to demonstrate the state-of-the-art research in this area. Topics of interests include, but not limited to
Algorithmic bias and fairness
Causal inference and clinical actionability
Clinical trial emulation and eligibility criteria design
Data mining for de novo drug discovery
Digital health and wearable devices
Disease subtyping and subphenotyping
Human-in-the-loop data mining
Interpretability and explainability
Risk prediction and stratification
Network medicine and knowledge graphs
Privacy and security
Synthetic data generation
We follow the same formatting requirements as the main conference, which can be referred to here. In summary, submissions should be anonymous and are limited to nine (9 pages), including references, must be in PDF and use ACM Conference Proceeding templates (two column format). One recommended setting for Latex file of anonymous manuscript is: \documentclass[sigconf, anonymous, review]{acmart}
. Template guidelines are here: https://www.acm.org/publications/proceedings-template.
Submission website: https://easychair.org/my/conference?conf=kddhealthday2022.
Best Paper Award
We are proud to announce our best paper award is sponsored by the SPJ Health Data Science journal. More information about this journal can be found here.
Key Dates
Paper submission: May 20, 2022 May 23, 2022
Author notification: May 30, 2022i June 1, 2022
Camera ready: June 5, 2022
Program Committee
Dan Adler, Cornell University
Ensol Choi, Texas A&M University
Zilong Bai, Cornell University
Prithwish Chakraborty, IBM Research
Mengling Feng, National University of Singapore
Zhengxing Huang, Zhejiang University
Yue Li, McGill University
Chang Su, Temple University
Qianqian Xie, University of Manchester
Jie Xu, University of Florida
Han Yu, Rice University
Sheng Yu, Tsinghua University
Chengxi Zang, Cornell University
Ruqi Zhang, Texas A&M University