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Workshop
Healthcare Systems, Population Health, and the Role of Health-tech
Creighton Heaukulani · Konstantina Palla · Katherine Heller · Niranjani Prasad · Marzyeh Ghassemi

Fri Jul 17 03:30 AM -- 02:00 PM (PDT) @ None
Event URL: https://sites.google.com/view/hsys2020 »

A person’s health is determined by a variety of factors beyond those captured by electronic health records or the genome. Many healthcare organizations recognize the importance of the social determinants of health (SDH) such as socioeconomic status, employment, food security, education, and community cohesion. Capturing such comprehensive portraits of patient data is necessary to transform a healthcare system and improve population health while simultaneously delivering personalized healthcare provisions. Machine learning (ML) is well-positioned to transform system-level healthcare through the design of intelligent algorithms that incorporate SDH into clinical and policy interventions, such as population health programs and clinical decision support systems. Innovations in health-tech through wearable devices and mobile health, among others, provide rich sources of data, including those characterizing SDH. The guiding metric of success should be health outcomes: the improvement of health and care at both the individual and population levels. This workshop will identify the needs of system-level healthcare transformation that ML may satisfy. We will bring together ML researchers, health policy practitioners, clinical organization experts, and individuals from all areas of clinic-, hospital-, and community-based healthcare.

Fri 3:30 a.m. - 4:30 a.m. [iCal]

Moderator: Creighton Heaukulani

Zoom join link: https://us04web.zoom.us/j/79416976497?pwd=djZNREZxUm9ON2licVVJTVYrMHpSUT09

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

Fri 5:00 a.m. - 6:00 a.m. [iCal]

Moderator: Creighton Heaukulani

Zoom join link: https://us04web.zoom.us/j/77388399130?pwd=cXYyeE9JRXZMTy9acGVZaHVnNU5Ndz09

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

Fri 5:00 a.m. - 6:00 a.m. [iCal]

Moderator: Konstantina Palla

Zoom join link: https://us04web.zoom.us/j/74464246195?pwd=dWo3dzArYk9LcjdzZi9VbGJ4MkFDdz09

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

Fri 6:30 a.m. - 8:00 a.m. [iCal]
Live Q&A Invited Speaker Panel (Discussion Panel)
Fri 8:30 a.m. - 9:30 a.m. [iCal]

Moderator: Niranjani Prasad

Zoom join link: https://us04web.zoom.us/j/78050144268?pwd=QnZhQ080cktHOWJvUVNuVGtDQjVWQT09

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

Fri 8:30 a.m. - 9:30 a.m. [iCal]

Moderator: Konstantina Palla

Zoom join link: https://us04web.zoom.us/j/76986651479?pwd=enBTaUxyR3BlV0wzcndER1h5QWJDdz09

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

Fri 10:00 a.m. - 11:00 a.m. [iCal]

Moderator: Niranjani Prasad

Zoom join link: https://us04web.zoom.us/j/74714284876?pwd=ZnNiUFVkK2RFcmdZaWdYeWZ2OU9CQT09

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

Fri 11:30 a.m. - 12:30 p.m. [iCal]

Moderator: Katherine Heller

Zoom join link: https://us04web.zoom.us/j/79454426445?pwd=b2F2NlJicnBGTUl6K1lsd2VQeGZmQT09

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

Fri 1:00 p.m. - 2:00 p.m. [iCal]

Moderator: Katherine Heller

Zoom join link: https://us04web.zoom.us/j/72221040261?pwd=OUNuanJyTXZWRGQ4Wi8yc0w0bDErUT09

Forecasting Influenza Prevalence with Deep Transformer Models

Interpretable Covid-19 Forecasting

An Epidemiological Modelling Approach for Covid19 via Data Assimilation

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Barbara Engelhardt -- Invited Talk (Talk) [ Video ]
Barbara Engelhardt
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Rumi Chunara -- Invited Talk (Talk) [ Video ]
Rumi Chunara
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Noa Dagan -- Invited Talk (Talk) [ Video ]
Noa Dagan
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Trishan Panch & Mohammad Jouni -- Invited Talk (Talk) [ Video ]
Trishan Panch
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Robert Morris -- Invited Talk (Talk) [ Video ]
Robert JT Morris
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Predicting Length of Stay in the Intensive Care Unit with Temporal Pointwise Convolutional Networks (Spotlight) [ Video ]
Emma Rocheteau
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Monitoring Mental Health: Identifying Depressive and Suicidal Sentiments on Online Forums using Deep Learning (Spotlight) [ Video ]
Meha Kumar
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Enabling autonomous clinical decision support systems in space through AI-enhanced wearables (Spotlight) [ Video ]
Eleni Antoniadou
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MPC-guided Imitation Learning of Neural Network Policies for the Artificial Pancreas (Spotlight) [ Video ]
Hongkai Chen
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Who Should We Test for COVID-19? A Triage Model Built from National Symptom Surveys (Spotlight) [ Video ]
Saar Shoer
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Deep Claim: Payer Response Prediction from Claims Data with Deep Learning (Spotlight) [ Video ]
Byung-Hak Kim

Author Information

Creighton Heaukulani (Ministry of Health (Singapore))
Konstantina Palla (Microsoft Research)
Katherine Heller (Duke University)
Niranjani Prasad (Princeton University)
Marzyeh Ghassemi

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