Prediction of burnout: an artificial neural network approach
Gespeichert in:
1. Verfasser: | |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Hamburg
Diplomica Verlag
2008
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Schlagworte: | |
Beschreibung: | Cover title Includes bibliographical references Prediction of Burnout An Artificial Neural Network Approach; Contents; List of Figures; List of Tables; 1 Burnout; 2 Artificial Neural Networks; 3 Application of ANNs toBurnout Data; 4 References This Study about burnout in nurses takes a different approach than all prior empirical work on this topic given that nonlinear relationships between job stressors, personal factors and the three burnout dimensions are investigated using artificial neural networks, a type of computer simulation that is especially well suited to capturing nonlinearities in data. The burnout process is related to organizational, personal, interpersonal, social, and cultural variables and these relationships are not exclusively linear. Due to this nonlinearity, hierarchical stepwise multiple regression or other li |
Beschreibung: | ix, 227 pages |
ISBN: | 9783836611411 3836611414 9783836661416 |
Internformat
MARC
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020 | |a 3836611414 |9 3-8366-1141-4 | ||
020 | |a 9783836661416 |9 978-3-8366-6141-6 | ||
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035 | |a (OCoLC)747411522 | ||
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082 | 0 | |a 610.73019 |2 22 | |
100 | 1 | |a Ladstätter, Felix |e Verfasser |4 aut | |
245 | 1 | 0 | |a Prediction of burnout |b an artificial neural network approach |c Felix Ladstätter/Eva Garrosa |
264 | 1 | |a Hamburg |b Diplomica Verlag |c 2008 | |
300 | |a ix, 227 pages | ||
336 | |b txt |2 rdacontent | ||
337 | |b c |2 rdamedia | ||
338 | |b cr |2 rdacarrier | ||
500 | |a Cover title | ||
500 | |a Includes bibliographical references | ||
500 | |a Prediction of Burnout An Artificial Neural Network Approach; Contents; List of Figures; List of Tables; 1 Burnout; 2 Artificial Neural Networks; 3 Application of ANNs toBurnout Data; 4 References | ||
500 | |a This Study about burnout in nurses takes a different approach than all prior empirical work on this topic given that nonlinear relationships between job stressors, personal factors and the three burnout dimensions are investigated using artificial neural networks, a type of computer simulation that is especially well suited to capturing nonlinearities in data. The burnout process is related to organizational, personal, interpersonal, social, and cultural variables and these relationships are not exclusively linear. Due to this nonlinearity, hierarchical stepwise multiple regression or other li | ||
650 | 4 | |a Computer Science / IT. | |
650 | 7 | |a HEALTH & FITNESS / Holism |2 bisacsh | |
650 | 7 | |a HEALTH & FITNESS / Reference |2 bisacsh | |
650 | 7 | |a MEDICAL / Alternative Medicine |2 bisacsh | |
650 | 7 | |a MEDICAL / Atlases |2 bisacsh | |
650 | 7 | |a MEDICAL / Essays |2 bisacsh | |
650 | 7 | |a MEDICAL / Family & General Practice |2 bisacsh | |
650 | 7 | |a MEDICAL / Holistic Medicine |2 bisacsh | |
650 | 7 | |a MEDICAL / Osteopathy |2 bisacsh | |
650 | 7 | |a Burn out (Psychology) |2 fast | |
650 | 7 | |a Work / Psychological aspects |2 fast | |
650 | 4 | |a Informatik | |
650 | 4 | |a Medizin | |
650 | 4 | |a Psychologie | |
650 | 4 | |a Burn out (Psychology) | |
650 | 4 | |a Work |x Psychological aspects | |
700 | 1 | |a Garrosa, Eva |e Sonstige |4 oth | |
912 | |a ZDB-4-EBA | ||
999 | |a oai:aleph.bib-bvb.de:BVB01-029197568 |
Datensatz im Suchindex
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any_adam_object | |
author | Ladstätter, Felix |
author_facet | Ladstätter, Felix |
author_role | aut |
author_sort | Ladstätter, Felix |
author_variant | f l fl |
building | Verbundindex |
bvnumber | BV043786509 |
collection | ZDB-4-EBA |
ctrlnum | (ZDB-4-EBA)ocn747411522 (OCoLC)747411522 (DE-599)BVBBV043786509 |
dewey-full | 610.73019 |
dewey-hundreds | 600 - Technology (Applied sciences) |
dewey-ones | 610 - Medicine and health |
dewey-raw | 610.73019 |
dewey-search | 610.73019 |
dewey-sort | 3610.73019 |
dewey-tens | 610 - Medicine and health |
discipline | Medizin |
format | Electronic eBook |
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id | DE-604.BV043786509 |
illustrated | Not Illustrated |
indexdate | 2024-07-10T07:35:06Z |
institution | BVB |
isbn | 9783836611411 3836611414 9783836661416 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-029197568 |
oclc_num | 747411522 |
open_access_boolean | |
physical | ix, 227 pages |
psigel | ZDB-4-EBA |
publishDate | 2008 |
publishDateSearch | 2008 |
publishDateSort | 2008 |
publisher | Diplomica Verlag |
record_format | marc |
spelling | Ladstätter, Felix Verfasser aut Prediction of burnout an artificial neural network approach Felix Ladstätter/Eva Garrosa Hamburg Diplomica Verlag 2008 ix, 227 pages txt rdacontent c rdamedia cr rdacarrier Cover title Includes bibliographical references Prediction of Burnout An Artificial Neural Network Approach; Contents; List of Figures; List of Tables; 1 Burnout; 2 Artificial Neural Networks; 3 Application of ANNs toBurnout Data; 4 References This Study about burnout in nurses takes a different approach than all prior empirical work on this topic given that nonlinear relationships between job stressors, personal factors and the three burnout dimensions are investigated using artificial neural networks, a type of computer simulation that is especially well suited to capturing nonlinearities in data. The burnout process is related to organizational, personal, interpersonal, social, and cultural variables and these relationships are not exclusively linear. Due to this nonlinearity, hierarchical stepwise multiple regression or other li Computer Science / IT. HEALTH & FITNESS / Holism bisacsh HEALTH & FITNESS / Reference bisacsh MEDICAL / Alternative Medicine bisacsh MEDICAL / Atlases bisacsh MEDICAL / Essays bisacsh MEDICAL / Family & General Practice bisacsh MEDICAL / Holistic Medicine bisacsh MEDICAL / Osteopathy bisacsh Burn out (Psychology) fast Work / Psychological aspects fast Informatik Medizin Psychologie Burn out (Psychology) Work Psychological aspects Garrosa, Eva Sonstige oth |
spellingShingle | Ladstätter, Felix Prediction of burnout an artificial neural network approach Computer Science / IT. HEALTH & FITNESS / Holism bisacsh HEALTH & FITNESS / Reference bisacsh MEDICAL / Alternative Medicine bisacsh MEDICAL / Atlases bisacsh MEDICAL / Essays bisacsh MEDICAL / Family & General Practice bisacsh MEDICAL / Holistic Medicine bisacsh MEDICAL / Osteopathy bisacsh Burn out (Psychology) fast Work / Psychological aspects fast Informatik Medizin Psychologie Burn out (Psychology) Work Psychological aspects |
title | Prediction of burnout an artificial neural network approach |
title_auth | Prediction of burnout an artificial neural network approach |
title_exact_search | Prediction of burnout an artificial neural network approach |
title_full | Prediction of burnout an artificial neural network approach Felix Ladstätter/Eva Garrosa |
title_fullStr | Prediction of burnout an artificial neural network approach Felix Ladstätter/Eva Garrosa |
title_full_unstemmed | Prediction of burnout an artificial neural network approach Felix Ladstätter/Eva Garrosa |
title_short | Prediction of burnout |
title_sort | prediction of burnout an artificial neural network approach |
title_sub | an artificial neural network approach |
topic | Computer Science / IT. HEALTH & FITNESS / Holism bisacsh HEALTH & FITNESS / Reference bisacsh MEDICAL / Alternative Medicine bisacsh MEDICAL / Atlases bisacsh MEDICAL / Essays bisacsh MEDICAL / Family & General Practice bisacsh MEDICAL / Holistic Medicine bisacsh MEDICAL / Osteopathy bisacsh Burn out (Psychology) fast Work / Psychological aspects fast Informatik Medizin Psychologie Burn out (Psychology) Work Psychological aspects |
topic_facet | Computer Science / IT. HEALTH & FITNESS / Holism HEALTH & FITNESS / Reference MEDICAL / Alternative Medicine MEDICAL / Atlases MEDICAL / Essays MEDICAL / Family & General Practice MEDICAL / Holistic Medicine MEDICAL / Osteopathy Burn out (Psychology) Work / Psychological aspects Informatik Medizin Psychologie Work Psychological aspects |
work_keys_str_mv | AT ladstatterfelix predictionofburnoutanartificialneuralnetworkapproach AT garrosaeva predictionofburnoutanartificialneuralnetworkapproach |