News
- Accepted paper list published. See Papers.
Program announced - KDD registration (or KDD workshop registration) required to attend. - Selected papers will be invited to publish in Journal of Healthcare Informatics Research (JHIR). Please see CFP for more details.
Overview
Machine learning (ML) and artificial intelligence (AI) are powerful tools in data mining and knowledge discovery in healthcare. There is a wide array of use-cases that range from the analysis of Electronic Health Records (EHR) and drug discovery to digital pathology and the analysis of high-throughput sequencing data. However, a wider uptake of AI/ML systems by practitioners, especially in a clinical environment such as Clinical Decision Support System, is slowed down by a distinct set of requirements. These include a need for a stringent evaluation of AI/ML systems not only in terms of safety of intended use of these algorithms and the ability to account for and communicate uncertainty. In addition, both regulatory and the clinical practitioners need transparency of the AI/ML enabled systems, including considering usability factors during development, reliability of the deployment, interpretability of the AI/ML models, which overall calls for a human-centred approach for the assurance of safety and effectiveness have been proving challenging. More specifically, we plan to attract high-quality original research from emerging areas with significant implications in healthcare and invite open discussions on controversial yet crucial topics regarding healthcare transformation.
Previous Iterations
- KDD Health Day - DSHealth 2021: Joint KDD 2021 Health Day and 2021 KDD Workshop on Applied Data Science for Healthcare State of XAI and trustworthiness in Health
- DSHealth 2020: 2020 KDD Workshop on Applied Data Science for Healthcare: Trustable and Actionable AI for Healthcare
- DSHealth 2019: 2019 KDD Workshop on Applied Data Science for Healthcare: Bridging the Gap between Data and Knowledge
- MLMH 2018: 2018 KDD Workshop on Machine Learning for Medicine and Healthcare
Invited Speakers
Li Zhou
Associate Professor of Medicine, Harvard Medical School; Lead Investigator, Brigham and Women's Hospital
Lina Sulieman
Research Assistant Professor, Dept. of Biomedical Informatics, VUMC; Member, All of Us Data and Research Center
Jimeng Sun
Health Innovation Professor, Computer Science Department and Carle's Illinois College of Medicine, University of Illinois Urbana Champaign
Tianfan Fu
PhD Candidate, Dept. of Computational Science and Engineering, Georgia Institute of Technology
Program
DSHealth 2022 will be held
on August 14, 2022. See detailed schedule below.
Selected papers will be invited to publish in
Journal of Healthcare Informatics Research
Please refer to the KDD 2022 program
for up-to-date changes on venues and timings.
DSHealth Schedule
| Time (EDT) | Event |
|---|---|
| Aug 14, 08:00 am - 12:00 pm | Session 1 |
| 8:00 am - 8:10 am | Introduction |
| 8:10 am - 09:10 am | Invited Talk: Li Zhou |
| 09:10 am - 09:40 am | Lightening Talk (9 papers) #161: Distillation to Enhance the Portability of Risk Models Across Institutions with Large Patient Claims Databases #744: FedPseudo: Pseudo value-based Deep Learning Models for Federated Survival Analysis #2322: Joint Application of the Target Trial Causal Framework and Machine Learning Modeling to Optimize Antibiotic Therapy: Use Case on Acute Bacterial Skin and Skin Structure Infections due to Methicillin-resistant Staphylococcus aureus #3660: Pseudo value-based Deep Neural Networks for Multistate Survival Analysis #4905: Using Interpretable Machine Learning to Predict Maternal and Fetal Outcomes #6154: Variational Temporal Deconfounder for Individualized Treatment Effect Estimation from Longitudinal Observational Data #6186: Towards Neural Numeric-To-Text Generation From Temporal Personal Health Data #6772: Exploring Runtime Decision Support for Trauma Resuscitation #7099: Boosting the interpretability of clinical risk scores with intervention predictions #9095: Flexible Group Fairness Metrics for Survival Analysis |
| 9:40 am - 10:00 am | Break + Poster |
| 10:00 am - 11:00 am | Invited talk: Jimeng Sun |
| 11:00 am - 12:00 am | Invited Talk: Lina Sulieman |
| 12:00 pm - 1:00 pm | Lunch Break |
| Aug 14, 1:00 pm - 5:00 pm | Session 2 |
| 1:00 pm - 2:00 pm | Invited Talk: Michel Friesenhahn |
| 2:00 pm - 3:00 pm | Invited Talk: Victor Garcia |
| 3:00 pm - 3:30 pm | Break |
| 3:30 pm - 4:00 pm | Poster |
| 4:00 pm - 4:50 pm | Panel discussion |
| 4:50 pm - 5:00 pm | Closing session |
Accepted Papers
We have accepted 10 papers for presentation at the workshop. All papers will be presented as posters within the workshop. PDF version of the final papers, if provided by the authors, are hyperlinked below.
Call for Papers
We invite full papers, as well as work-in-progress on the application of data science in healthcare. Topics may include, but not limited to, the following topics (For more information see workshop overview) with special focus on papers on transparent and human-centered AI in healthcare.
- Human-in-the-loop-learning and human-centered AI
- Demos of practical applications of interpretable AI
- User driven interpretable AI in Healthcare
- Uncertainty quantification and communication, e.g. out-of-distribution detection
- Domain generalization and adaptation, e.g. multi-site studies
- Data access, sharing and privacy, e.g. via federated learning
- Interpretable AI/ML and Actionable Insights
- Ethical AI and accountability
- AI governance
- Regulatory aspects of AI in healthcare
Papers must be submitted in PDF format to easychair https://easychair.org/conferences/?conf=dshealth2022 and formatted according to the new Standard ACM Conference Proceedings Template . Authors are encouraged to use the Overleaf template . Papers must be a maximum length of 4 pages, excluding references.
The program committee will select the papers based on originality, presentation, and technical quality for spotlight and/or poster presentation.
Selected papers will be invited to publish in Journal of Healthcare Informatics Research
Key Dates (AOE)
- Paper Submission opens: Apr 10, 2022
- Paper Submission deadline:
May 26, 2022Jun 02, 2022 - Acceptance Notice:
Jun 20, 2022Jun 27, 2022 - Workshop Date:
Aug 15, 2022Aug 14, 2022
Unless otherwise specified, all deadlines correspond to 11:59 PM Hawaii Standard Time ( HST). Workshop will be held based on Eastern Daylight Time (EDT).
Organizers
- Fei Wang, Cornell University, USA
- Prithwish Chakraborty, IBM Research, USA
- Tao Xu, F-Hoffmann la Roche, Switzerland
- Gregor Stiglic, University of Maribor, Slovenia
- Pei-Yun Sabrina Hsueh, Bayesian Health Inc, USA
- Lixia Yao, Merck, USA
- Jiang Bian, University of Florida, USA
- Alexej Gossmann, FDA, USA
- Florian Buettner, Frankfurt University/German Cancer Research Center (DKFZ), Germany