Predicting Thyrotoxicosis in Patients Using a Set of Routine Tests: Adding their Rate of Annual Time-Series Variations to Self-Organizing Map-Based Predictive Model Improves Diagnostic Accuracy
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| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Polish Information Processing Society
2015-10-01
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| Series: | Annals of computer science and information systems |
| Online Access: | https://annals-csis.org/Volume_6/pliks/399.pdf |
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| _version_ | 1850270028760350720 |
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| author | Sorama Aoki Sono Nishizaka Kenichi Sato Kenji Hoshi Junko Kawakami Kouki Mori Yoshinori Nakagawa Wataru Hida Katsumi Yoshida |
| author_facet | Sorama Aoki Sono Nishizaka Kenichi Sato Kenji Hoshi Junko Kawakami Kouki Mori Yoshinori Nakagawa Wataru Hida Katsumi Yoshida |
| author_sort | Sorama Aoki |
| collection | DOAJ |
| format | Article |
| id | doaj-art-e1b806a8f71d47d88f12b79ad7a82991 |
| institution | OA Journals |
| issn | 2300-5963 |
| language | English |
| publishDate | 2015-10-01 |
| publisher | Polish Information Processing Society |
| record_format | Article |
| series | Annals of computer science and information systems |
| spelling | doaj-art-e1b806a8f71d47d88f12b79ad7a829912025-08-20T01:52:49ZengPolish Information Processing SocietyAnnals of computer science and information systems2300-59632015-10-0163910.15439/2015F399Predicting Thyrotoxicosis in Patients Using a Set of Routine Tests: Adding their Rate of Annual Time-Series Variations to Self-Organizing Map-Based Predictive Model Improves Diagnostic AccuracySorama AokiSono NishizakaKenichi SatoKenji HoshiJunko KawakamiKouki MoriYoshinori NakagawaWataru HidaKatsumi Yoshidahttps://annals-csis.org/Volume_6/pliks/399.pdf |
| spellingShingle | Sorama Aoki Sono Nishizaka Kenichi Sato Kenji Hoshi Junko Kawakami Kouki Mori Yoshinori Nakagawa Wataru Hida Katsumi Yoshida Predicting Thyrotoxicosis in Patients Using a Set of Routine Tests: Adding their Rate of Annual Time-Series Variations to Self-Organizing Map-Based Predictive Model Improves Diagnostic Accuracy Annals of computer science and information systems |
| title | Predicting Thyrotoxicosis in Patients Using a Set of Routine Tests: Adding their Rate of Annual Time-Series Variations to Self-Organizing Map-Based Predictive Model Improves Diagnostic Accuracy |
| title_full | Predicting Thyrotoxicosis in Patients Using a Set of Routine Tests: Adding their Rate of Annual Time-Series Variations to Self-Organizing Map-Based Predictive Model Improves Diagnostic Accuracy |
| title_fullStr | Predicting Thyrotoxicosis in Patients Using a Set of Routine Tests: Adding their Rate of Annual Time-Series Variations to Self-Organizing Map-Based Predictive Model Improves Diagnostic Accuracy |
| title_full_unstemmed | Predicting Thyrotoxicosis in Patients Using a Set of Routine Tests: Adding their Rate of Annual Time-Series Variations to Self-Organizing Map-Based Predictive Model Improves Diagnostic Accuracy |
| title_short | Predicting Thyrotoxicosis in Patients Using a Set of Routine Tests: Adding their Rate of Annual Time-Series Variations to Self-Organizing Map-Based Predictive Model Improves Diagnostic Accuracy |
| title_sort | predicting thyrotoxicosis in patients using a set of routine tests adding their rate of annual time series variations to self organizing map based predictive model improves diagnostic accuracy |
| url | https://annals-csis.org/Volume_6/pliks/399.pdf |
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