Health Day
at KDD

Sunday & Monday, August 19-20, 2018 Stay Informed

Healthcare + Data Science
The Future of Savings Lives

Together we can. There is a fresh movement within the AI, ML, Data Science communities to join hands with healthcare experts. This inaugural Health Day at KDD 2018 marks the beginning of this long journey to bring us closer to making wellness central to machine learning research. Let’s save lives while saving costs and making healthier living a reality through our publications, discussions and discoveries.  

Health Day at KDD 2018
Health Day at KDD 2018

Health Day brings together best of academic thought leadership with the brightest innovations from Industry to interact openly with leaders who practice bioinformatics, epidemiology, genomics, and healthcare. You will find tutorials on deep learning and importance of explainable AI in healthcare. Join experts as they debate the ethics of machine learning drive care management. Participate in workshops that focus on epidemiology and large scale data mining for public health issues globally.

With a 5 star studded opening panel ( 8 am on 20th August), 3 workshops ( 20th August all day), 3 tutorials ( 19th August all day) and over 35 highly selected peer-reviewed workshop papers appearing as posters when the main conference kicks off, there is something for every data science researcher to share and learn.

Workshops

Tutorials

Explainable Models for Healthcare AI
Explainable Models for Healthcare AI
Muhammad Aurangzeb Ahmad, Dr. Carly Eckert and Ankur Teredesai (University of Washington)
Deep Learning for Computational Healthcare
Deep Learning for Computational Healthcare
Edward Choi (Georgia Tech), Cao Xiao (IBM Research) and Jimeng Sun (Georgia Tech)
Knowledge Discovery from Cohorts, Electronic Health Records and further Patient- related data
Knowledge Discovery from Cohorts, Electronic Health Records and further Patient- related data
Panagiotis Papapetrou (Stockholm University) and Myra Spiliopoulou (University of Magdeburg)

Be a part of uncovering new insights at the Health Day Panel Discussion

Join the expert panel at Health Day as they discuss the impact of AI and ML in making healthcare more predictive, preventive and proactive.

Tae Hyun Hwang
Tae Hyun Hwang
Cleveland Clinic
Carly Eckert MD
Carly Eckert MD
KenSci
David Lowe MD
David Lowe MD
NHS Scotland
Scott Wagers
Scott Wagers
BIO Science Consulting
Bharat Rao
Bharat Rao
KPMG-US


What to expect this Health Day

  • Spark vigorous discussions and encourage collaboration between the various disciplines potentially resulting in collaborative projects and grant submissions.
  • Learn, as we emphasize the aspects of learning from large variety of data – clinical (phenotypic, genotypic and other omic), financial, social and IoT data for disease progression modelling, drug discovery, financial and clinical outcome analysis etc.
  • Discuss the challenges the machine learning community faces in acceptance and widespread applicability in this domain while touching upon some steps e.g. interpretable models, the community is taking to address those.
  • Address many of the topics through both invited and contributed talks.
  • When you register for KDD don’t forget to add Health day as your preference so we can plan the sessions.
Ankur Teredesai

General Chair

Ankur M. Teredesai, Ph.D., is the co-founder and Chief Technology Officer of KenSci. He also holds a Professorship in Computer Science & Systems at the University of Washington. His research spans data science with its applications for societal impact in healthcare. Apart from his academic appointments at RIT and the University of Washington, Teredesai has significant industry experience, having held various positions at C-DAC Pune, Microsoft Research, IBM T.J. Watson Labs, and a variety of technology startups. He has published over 75 papers on machine learning, has managed large teams of data scientists and engineers, and deployed data science solutions in healthcare. He is the Executive Director of Center for Data Science, and serves as the Information Officer for ACM SIGKDD (Special Interest Group in Knowledge Discovery and Data Mining) the leading organization of industry and academic researchers in data science. He is currently an associate editor for ACM SIGKDD Explorations and IEEE Transactions on Big Data and serves on program committees of major international conferences in machine learning and healthcare.

Health Day Committee

B. Aditya Prakash
B. Aditya Prakash
Virginia Tech
Anil Vullikanti
Anil Vullikanti
Virginia Tech
Shweta Bansal
Shweta Bansal
Georgetown University
Adam Sadilek
Adam Sadilek
Google
Prithwish Chakraborty
Prithwish Chakraborty
IBM Research
I. Balaur
I. Balaur
EISBM, Lyon France
France P. Agapow
France P. Agapow
Imperial College London
S. Wagers
S. Wagers
BioSci Consulting
Pei-Yun (Sabrina) Hsueh
Pei-Yun (Sabrina) Hsueh
IBM Research
F. Rahmanian
F. Rahmanian
Geneia
Da Yan
Da Yan
The University of Alabama at Birmingham (UAB)
Xin Gao
Xin Gao
King Abdullah University of Science and Technology
Jake Y. Chen
Jake Y. Chen
The University of Alabama at Birmingham (UAB)
Mohammed J. Zaki
Mohammed J. Zaki
Rensselaer Polytechnic Institute
Carly Eckert
Carly Eckert
KenSci
Muhammad Aurangzeb Ahmad
Muhammad Aurangzeb Ahmad
Kensci & University of Washington
Edward Choi
Edward Choi
PhD student at Georgia Institute of Technology
Cao Xiao
Cao Xiao
IBM Research
Jimeng Sun
Jimeng Sun
Georgia Tech
Panagiotis Papapetrou
Panagiotis Papapetrou
Stockholm University & Aalto University
Myra Spiliopoulou
Myra Spiliopoulou
Otto-von-Guericke-University Magdeburg

Save the Date

KDD 2018 - London, United Kingdom. 19 - 23 August 2018

The annual KDD conference is the premier interdisciplinary conference bringing together researchers and practitioners from data science, data mining, knowledge discovery, large-scale data analytics, and big data.

Stay Informed

How can we assist you?

We'll be updating the website as information becomes available. If you have a question that requires immediate attention, please feel free to contact us. Thank you!


If you are experiencing any issue related to registrations (confirmation, payment problem etc.) or have any questions regarding registrations, please do not submit this form. Please send an email to Kelly Hughes (khughes@executivevents.com) or call 1.888.526.1242 or 303.530.4683.