Linear Classification in Speech-Based Objective Differential Diagnosis of Parkinsonism

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00064165%3A_____%2F18%3A10381168" target="_blank" >RIV/00064165:_____/18:10381168 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/68407700:21230/18:00324054 RIV/00216208:11110/18:10381168

Výsledek na webu

<a href="http://dx.doi.org/10.1109/ICASSP.2018.8462681" target="_blank" >http://dx.doi.org/10.1109/ICASSP.2018.8462681</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/ICASSP.2018.8462681" target="_blank" >10.1109/ICASSP.2018.8462681</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Linear Classification in Speech-Based Objective Differential Diagnosis of Parkinsonism

Popis výsledku v původním jazyce

Parkinsonism refers to Parkinsons disease (PD) and Atypical parkinsonian syndromes (APS). Speech disorder is a common and early symptom in Parkinsonism which makes speech analysis a very important research area for the purpose of early diagnosis. Most of research have however focused on discrimination between PD and healthy controls. Such research does not take into account the fact that PD and APS syndromes are very similar in early disease stages. The main problem that has to be addressed first is then differential diagnosis: discrimination between PD and APS and within APS. This paper is a continuation of an earlier pioneer work in differential diagnosis where we mostly address the machine learning problem due to the small amount of training data. We show that classical linear and generalized linear models can provide interpretable and robust classifiers in term of accuracy and generalization ability.

Název v anglickém jazyce

Linear Classification in Speech-Based Objective Differential Diagnosis of Parkinsonism

Popis výsledku anglicky

Parkinsonism refers to Parkinsons disease (PD) and Atypical parkinsonian syndromes (APS). Speech disorder is a common and early symptom in Parkinsonism which makes speech analysis a very important research area for the purpose of early diagnosis. Most of research have however focused on discrimination between PD and healthy controls. Such research does not take into account the fact that PD and APS syndromes are very similar in early disease stages. The main problem that has to be addressed first is then differential diagnosis: discrimination between PD and APS and within APS. This paper is a continuation of an earlier pioneer work in differential diagnosis where we mostly address the machine learning problem due to the small amount of training data. We show that classical linear and generalized linear models can provide interpretable and robust classifiers in term of accuracy and generalization ability.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

30103 - Neurosciences (including psychophysiology)

Projekt

<a href="/cs/project/NV15-28038A" target="_blank" >NV15-28038A: Poruchy řeči a analýza jejich mechanismů u Parkinsonovy nemoci a dalších extrapyramidových onemocnění.</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2018

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

ISBN

978-1-5386-4658-8

ISSN

1520-6149

e-ISSN

neuvedeno

Počet stran výsledku

5

Strana od-do

5999-6003

Název nakladatele

IEEE

Místo vydání

New York

Místo konání akce

Calgary

Datum konání akce

15. 4. 2018

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000446384606032