Vol-2926
urn:nbn:de:0074-2926-7

Copyright © 2021 for the individual papers by the papers' authors. Copyright © 2021 for the volume as a collection by its editors. This volume and its papers are published under the Creative Commons License Attribution 4.0 International (CC BY 4.0).

AI4Function 2021
Artificial Intelligence for Function, Disability, and Health 2021

Proceedings of the Second Workshop on Artificial Intelligence for Function, Disability, and Health
co-located with the 2021 International Joint Conference on Artificial Intelligence (IJCAI 2021)

Online, August 20-21, 2021.

Edited by

Denis Newman-Griffis (1,2)
Bart Desmet (2)
Ayah Zirikly (2,3)
Suzanne Tamang (4)
Hongfang Liu (5)

(1) University of Pittsburgh, Pittsburgh, Pennsylvania, USA
(2) National Institutes of Health Clinical Center, Bethesda, Maryland, USA
(3) Johns Hopkins University, Balitmore, Maryland, USA
(4) Stanford University, Palo Alto, California, USA
(5) Mayo Clinic, Rochester, Minnesota, USA

Table of Contents

Preface

Research Papers

An Ontology-Based Coaching Solution for Increasing Self-Awareness of Own Functional Status 1-11
Mauro Dragoni, Tania Bailoni, Jean-Claude Martin, Helena Lindgren, Esteban Guerrero Rosero
AnyNets: Adaptive Deep Neural Networks for Medical Data with Missing Values 12-21
Maria Kalweit, Gabriel Kalweit, Joschka Boedecker
Extracting Body Function from Clinical Text 22-35
Guy Divita, Jessica Lo, Chunxiao Zhou, Kathleen Coale, Elizabeth Rasch
Natural Language Processing Tool for Extraction of Patient-reported Outcomes from a National Multi-EHR Registry 36-41
Marie Humbert-Droz, Zara Izadi, Gabriela Schmajuk, Jinoos Yazdany, Suzanne Tamang

2021-08-11: submitted by Denis Newman-Griffis, metadata incl. bibliographic data published under Creative Commons CC0
2021-08-15: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|