Deep Learning for Spatiotemporal Modeling of Urbanization
Authors: Tang Li (University of Delaware)*; Jing Gao (University of Delaware); Xi Peng (University of Delaware)
Restless Bandits in the Field: Real-World Study for Improving Maternal and Child Health Outcomes
Aditya S Mate (Harvard University)*; Lovish Madaan (Google Research); Aparna Taneja (Google); Neha H Madhiwalla (ARMMAN); Shresth Verma (Google Research India); Gargi Singh (Google); Aparna Hegde (ARMMAN); Pradeep Varakantham (Singapore Management University); Milind Tambe (Google Research, India)
Demand prediction of mobile clinics using public data
Authors: Haipeng Chen (Harvard University)*; Susobhan Ghosh (Harvard University); Gregory H Fan (Harvard Medical School); Nikhil S Behari (Harvard University); Arpita Biswas (Harvard University); Mollie Williams (Harvard Medical School); Nancy Oriol (Family Van); Milind Tambe (Harvard University)
Role of Attachment Variables in Resilient Families
Authors: Tathagata Banerjee (Washington University in St. Louis)*; Nathaniel House (Saint Louis University)
Assisted Living in the United States: an Open Dataset
Authors: Anton Stengel (Princeton University)*; Jaan Altosaar (Columbia University Irving Medical Center); Authors: Rebecca Dittrich (ATI Advisory); Noemie Elhadad (Columbia University)
A Brief Summary on Covid-19 Pandemic & Machine Learning Approaches
Authors: Ezgi Korkmaz (KTH Royal Institute of Technology)*
Reconciling Risk Allocation and Prevalence Estimation in Public Health Using Batched Bandits
Authors: Ben Chugg (Stanford)*
An mHealth Intervention for African American and Hispanic Adults: Preliminary Results from a One-Year Field Test
Authors: Christine R Herlihy (University of Maryland, College Park)*; Shuo Huang (University of Maryland, College Park); Madeline Diep (Fraunhofer CMA); Neil Johnson (University of Maryland, College Park); Neil Sehgal (University of Maryland, College Park); John P Dickerson (University of Maryland); Devlon Jackson (University of Maryland, College Park); Cynthia Baur (University of Maryland, College Park)
Kronecker Factorization for Preventing Catastrophic Forgetting
Authors: Denis Jered McInerney (Northeastern)*; Luyang Kong (Amazon Research); Kristjan Arumae (Qualtrics); Byron Wallace (Northeastern); Parminder Bhatia (Amazon)
A probabilistic approach to evaluating Cryptosporidium health risk in drinking water
Yirao Zhang (UBC)*, Nicolás Peleato (UBC)
Learning after Deployment: The Missed Tale of Supervision
Aviral Chharia (Thapar Institute of Engineering & Technology)*; Neeraj Kumar (Thapar University, India)
Predicting Migraine Early from Fitbit Data with Deep Learning
Authors: Stephen Price (Carnegie Mellon University)*; Raghu Kainkaryam (Evidation); Elizabeth Phillips (Evidation); Arinbjörn Kolbeinsson (Evidation); Luca Foschini (Evidation)
General Framework for Evaluating Outbreak Prediction, Detection and Annotation Algorithms
Authors: Stephane Ghozzi (Helmholtz Centre for Infection Research)*; Auss Abbood (Robert Koch Institute)
Exploring the Temporal Dynamics of County-Level Vulnerability Factors on COVID-19 Outcomes
Authors: Jing Zhang (Emory University)*; Daesung Choi (Emory University); Shivani Patel (Rollins School of Public Health, Emory University, Atlanta, United States ); Joyce Ho (Emory University)
Encoding Cardiopulmonary Exercise Testing Time Series as Images for Classification using Convolutional Neural Network
Authors: Yash Sharma (University of Virginia)*; Nicholas Coronato (University of Virginia); Donald Brown (University of Virginia)
Discovering Alternative Food Proteins with Manifold Exploration and Spectral Clustering
Authors: Geoffroy Dubourg-Felonneau (Shiru, INC)*; Shahab Shams (the university of Texas at Dallas); Eyal Akiva (Shiru, INC); Lawrence Lee (Shiru, INC)
COVID-19 India Dataset: Parsing Detailed COVID-19 Data in Daily Health Bulletins from States in India
Authors: Mayank Agarwal (IBM Research (MIT-IBM Watson AI Lab))*; Tathagata Chakraborti (IBM Research); Sachin Grover (Arizona State University); Arunima Chaudhury (IBM Research)
A Recommendation System to Enhance Midwives’ Capacities in Low-Income Countries
Authors: Anna Guitart Atienza (benshi.ai)*; Ana Fernández (benshi.ai); Africa Perianez (benshi.ai); Eniola Olaleye (benshi.ai); Jelena Ljubicic (benshi.ai); Lauren Bellhouse (Maternity Foundation); Afsaneh Heydari (benshi.ai)
A Markov Chain Based Compartmental Model for COVID-19 in South Korea
Authors: Sujin Ahn (Soongsil university)*; Minhae Kwon (Soongsil University)
Reaching out: Towards a sustainable allocation strategy between users and therapists
Authors: Prateek Chanda (Microsoft)*
Poster, PDF
Modelling Patient Journeys with Sharded Encoder Blocks and Federated Split Learning
Authors: Jonathan Passerat-Palmbach (Imperial College London / ConsenSys Health); Anna Beer (Imperial College London)*; Chiraag Lala (Imperial College London)
Poster, PDF