1. Identity statement | |
Reference Type | Conference Paper (Conference Proceedings) |
Site | sibgrapi.sid.inpe.br |
Holder Code | ibi 8JMKD3MGPEW34M/46T9EHH |
Identifier | 8JMKD3MGPAW/3PF999L |
Repository | sid.inpe.br/sibgrapi/2017/08.18.05.36 |
Last Update | 2017:08.18.05.36.24 (UTC) administrator |
Metadata Repository | sid.inpe.br/sibgrapi/2017/08.18.05.36.24 |
Metadata Last Update | 2022:06.14.00.08.45 (UTC) administrator |
DOI | 10.1109/SIBGRAPI.2017.28 |
Citation Key | AfonsoPerWebHooPap:2017:PaDiId |
Title | Parkinson's Disease Identification Through Deep Optimum-Path Forest Clustering |
Format | On-line |
Year | 2017 |
Access Date | 2024, Oct. 15 |
Number of Files | 1 |
Size | 1057 KiB |
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2. Context | |
Author | 1 Afonso, Luis Claudio Sugi 2 Pereira, Clayton Reginaldo 3 Weber, Silke Anna Theresa 4 Hook, Christian 5 Papa, João Paulo |
Affiliation | 1 UFSCar - Federal University of São Carlos, Department of Computing, São Carlos, Brazil 2 UFSCar - Federal University of São Carlos, Department of Computing, São Carlos, Brazil 3 UNESP - São Paulo State University, Medical School, Botucatu, Brazil 4 Ostbayerische Tech. Hochschule, Fakultat Informatik/Mathematik, Regensburg, Germany 5 UNESP - São Paulo State University, School of Sciences, Bauru, Brazil |
Editor | Torchelsen, Rafael Piccin Nascimento, Erickson Rangel do Panozzo, Daniele Liu, Zicheng Farias, Mylène Viera, Thales Sacht, Leonardo Ferreira, Nivan Comba, João Luiz Dihl Hirata, Nina Schiavon Porto, Marcelo Vital, Creto Pagot, Christian Azambuja Petronetto, Fabiano Clua, Esteban Cardeal, Flávio |
e-Mail Address | sugi.luis@gmail.com |
Conference Name | Conference on Graphics, Patterns and Images, 30 (SIBGRAPI) |
Conference Location | Niterói, RJ, Brazil |
Date | 17-20 Oct. 2017 |
Publisher | IEEE Computer Society |
Publisher City | Los Alamitos |
Book Title | Proceedings |
Tertiary Type | Full Paper |
History (UTC) | 2017-08-18 05:36:24 :: sugi.luis@gmail.com -> administrator :: 2022-06-14 00:08:45 :: administrator -> :: 2017 |
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3. Content and structure | |
Is the master or a copy? | is the master |
Content Stage | completed |
Transferable | 1 |
Version Type | finaldraft |
Keywords | Parkinson's disease Optimum-Path Forest Handwriting Dynamics |
Abstract | Approximately 50,000 to 60,000 new cases of Parkinson's disease (PD) are diagnosed yearly. Despite being non-lethal, PD shortens life expectancy of the ones affected with such disease. As such, researchers from different fields of study have put great effort in order to develop methods aiming the identification of PD in its early stages. This work uses handwriting dynamics data acquired by a series of tasks and proposes the application of a deep-driven graph-based clustering algorithm known as Optimum-Path Forest to learn a dictionary-like representation of each individual in order to automatic identify Parkinson's disease. Experimental results have shown promising results, with results comparable to some state-of-the-art approaches in the literature. |
Arrangement 1 | urlib.net > SDLA > Fonds > SIBGRAPI 2017 > Parkinson's Disease Identification... |
Arrangement 2 | urlib.net > SDLA > Fonds > Full Index > Parkinson's Disease Identification... |
doc Directory Content | access |
source Directory Content | there are no files |
agreement Directory Content | |
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4. Conditions of access and use | |
data URL | http://urlib.net/ibi/8JMKD3MGPAW/3PF999L |
zipped data URL | http://urlib.net/zip/8JMKD3MGPAW/3PF999L |
Language | en |
Target File | PID4953679.pdf |
User Group | sugi.luis@gmail.com |
Visibility | shown |
Update Permission | not transferred |
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5. Allied materials | |
Mirror Repository | sid.inpe.br/banon/2001/03.30.15.38.24 |
Next Higher Units | 8JMKD3MGPAW/3PKCC58 8JMKD3MGPEW34M/4742MCS |
Citing Item List | sid.inpe.br/sibgrapi/2017/09.12.13.04 44 sid.inpe.br/sibgrapi/2022/06.10.21.49 7 sid.inpe.br/banon/2001/03.30.15.38.24 4 |
Host Collection | sid.inpe.br/banon/2001/03.30.15.38 |
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6. Notes | |
Empty Fields | archivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination edition electronicmailaddress group isbn issn label lineage mark nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url volume |
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