Predicting psychiatric diseases using autoAI : a performance analysis based on health insurance billing data
author
Bertl, Markus
Ross, Peeter
Draheim, Dirk
statement of authorship
Markus Bertl, Peeter Ross, Dirk Draheim
source
Database and Expert Systems Applications : 32nd International Conference, DEXA 2021, Virtual Event, September 27-30, 2021 : proceedings. Part I
location of publication
Cham
publisher
Springer
year of publication
2021
pages
p. 104-111
series
Lecture notes in computer science ; 12923
conference name, date
32nd International Conference on Database and Expert Systems Applications, September 27-30, 2021
conference location
Linz, Austria
url
https://doi.org/10.1007/978-3-030-86472-9_9
subject term
tehisintellekt
tehisõpe
nõuandesüsteemid
psühhiaatria
depressioon
posttraumaatiline stressihäire
Scopus
https://www.scopus.com/sourceid/25674
https://www.scopus.com/record/display.uri?eid=2-s2.0-85115140877&origin=inward&txGid=cc5581aeed9ca607bd08224855394f9d
WOS
https://jcr.clarivate.com/jcr-jp/journal-profile?journal=LECT%20NOTES%20ARTIF%20INT&year=2005
https://www.webofscience.com/wos/woscc/full-record/WOS:000711959400009
quartile
Q3
category (general)
Computer science
Arvutiteadus
Mathematics
Matemaatika
category (sub)
Computer science. General computer science
Arvutiteadus. Üldine arvutiteadus
Mathematics. Theoretical computer science
Matemaatika. Teoreetiline arvutiteadus
keyword
artificial intelligence (AI)
machine learning (ML)
automatic AI (autoAI)
automatic machine learning (autoML)
IBM Watson AutoAI
auto-sklearn
decision support systems
psychiatry
depression
post-traumatic stress disorder (PTSD)
ISSN
0302-9743 (Print)
1611-3349 (Online)
ISBN
978-3-030-86471-2 (Print)
978-3-030-86472-9 (Online)
notes
Bibliogr.: 19 ref
scientific publication
teaduspublikatsioon
classifier
3.1
TalTech department
tervisetehnoloogiate instituut
tarkvarateaduse instituut
language
inglise
Reserch Group
eHealth applications and services research group
Information systems group