Poster Session: Medical Data, Synthesis, & Privacy I
18
.3
0 - 19
.3
0 Singapore / 11
.3
0 - 12
.3
0 London / 06
.3
0 - 07
.3
0 New York / 03
:3
0 - 04
.3
0 San Fran
- Synthetic Tabular Data Generation with Oblivious Variational Autoencoders : Alleviating the Paucity of Personal Tabular Data for Open Research
- Synthesis of Time Series Physiological Data from Wearables using Deep Networks
- Enabling autonomous clinical decision support systems in space through AI-enhanced wearables
*
Poster Session: Health Systems & Delivery I
20.00 - 21.00 Singapore / 13.00 - 14.00 London / 08.00 - 09.00 New York / 05:00 - 06.00 San Fran
- Interpretable Outcome Prediction with Sparse Bayesian Neural Networks in Intensive Care
- Predicting Length of Stay in the Intensive Care Unit with Temporal Pointwise Convolutional Networks
- Accurate prediction of population health costs
- Rapid deployment of a nationwide, one-minute, online symptoms survey during the outbreak and spread of COVID-19 - framework and applications
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Poster Session: AI in Diagnosis & Therapy I
20.00 - 21.00 Singapore / 13.00 - 14.00 London / 08.00 - 09.00 New York / 05:00 - 06.00 San Fran
- Deep Semi-Supervised Embedded Clustering (DSEC) for Stratification of Heart Failure Patients
- Prediction of the onset of cardiovascular diseases from electronic health records using multi-task gated recurrent units
- Enhancing diagnosis of tuberculosis in children with novel Mycobacterium tuberculosis antigens
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Live Speakers Q&A Panel
21.30 - 23.00 Singapore / 14.30 - 16.00 London / 09.30 - 11.00 New York / 06.30 - 08.00 San Fran
Barbara Engelhardt, Rumi Chunara, Noa Dagan, Trishan Panch, Mohammad Jouni, Robert Morris
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Poster Session: AI in Diagnosis & Therapy II
23
.3
0 - 00
.3
0 (+1) Singapore / 16
.3
0 - 17
.3
0 London / 11
.3
0 - 12
.3
0 New York / 08
:3
0 - 9
.3
0 San Fran
- MPC-guided Imitation Learning of Neural Network Policies for the Artificial Pancreas
- Monitoring Mental Health: Identifying Depressive and Suicidal Sentiments on Online Forums using Deep Learning
- Using Capsule Neural Network to predict Tuberculosis in lens-free microscopic images
- Identifying patterns in cystic fibrosis physiotherapy using unsupervised clustering
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Poster Session: Epidemiology & Policy I
23
.3
0 - 00
.3
0 (+1) Singapore / 16
.3
0 - 17
.3
0 London / 11
.3
0 - 12
.3
0 New York / 08
:3
0 - 9
.3
0 San Fran
- An Unsupervised Machine Learning Approach to Assess the ZIP Code Level Impact of COVID-19 in NYC
- In the Danger Zone: U-Net Driven Quantile Regression can Predict High-risk SARS-CoV-2 Regions via Pollutant Particulate Matter and Satellite Imagery
- Who Should We Test for COVID-19? A Triage Model Built from National Symptom Surveys
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Poster Session: Medical Data, Synthesis, & Privacy II
01.00 - 02.00 (+1) Singapore / 18.00 - 19.00 London / 13.00 - 14.00 New York / 10:00 - 11.00 San Fran
- Patient-Reported Outcomes: A Privacy-Centric and Federated Approach to Machine Learning
- Benchmarking Differentially Private Residual Networks for Medical Imagery
- Towards User Friendly Medication Mapping Using Entity-Boosted Two-Tower Neural Network
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Poster Session: Health Systems & Delivery II
02.3
0 - 03.3
0 (+1) Singapore / 19.3
0 - 20
.3
0 London / 14.3
0 - 15.3
0 New York / 11:3
0 - 12.3
0 San Fran
- Deep Claim: Payer Response Prediction from Claims Data with Deep Learning
- AI-based Monitoring and Response System for Hospital Preparedness towards COVID-19 in Southeast Asia
- A Model is Not Enough: A case of AI-Enabled Healthcare Delivery
- Position Paper: IIT Kanpur Consulting Group - Using Machine Learning and Management Consulting for Social Good
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Poster Session: Epidemiology & Policy II
04.00 - 05.00 (+1) Singapore / 21.00 - 22.00 London / 16.00 - 17.00 New York / 13.00 - 14.00 San Fran
- Forecasting Influenza Prevalence with Deep Transformer Models
- Interpretable Covid-19 Forecasting
- An Epidemiological Modelling Approach for Covid19 via Data Assimilation