Vol-2925⫷ Vol-2926 ⫸Vol-2927
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 |