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Grant: CIHR-ICRH Travel Awards - CSS pool

Concordia University (Montreal, Quebec)

$750.00

Data-driven phenotyping of central disorders of hypersomnolence with unsupervised clustering: toward more reliable diagnostic criteria

EF 2022-23

Résumé
Given the translational nature of the study, our findings will have direct impact on the diagnostic procedures of people with a central disorder of hypersomnolence. Presentation of the results will educate Canadian sleep medicine researchers, clinicians, technicians and students on central disorders of hypersomnolence and our proposed future diagnostic criteria. I will also present our newly developed machine learning package that could easily be implemented to identify subgroups in other populations. Collaboration is a central theme in my PhD projects. The submitted research was made possible by an international multidisciplinary team of clinicians, data scientist and physicists and it helped us to provide this novel perspective on diagnostic procedures of central disorders of hypersomnolence. In my neuroimaging projects I am closely collaborating with Concordia University and we are currently working on multiple projects in which we stimulate global collaboration on central disorders of hypersomnolence.
Programme
CIHR-ICRH Travel Awards - CSS pool
Emplacement
Quebec, Canada
Type
Grant
Source
CIHR Funding Decisions Database

Tel que publié

Id
481046
Name
Gool Jari
Region
Québec
Country
Canada
Orgtype
Institution Paid; Research Institution
Partnername
Canadian Sleep Society (Montreal)
Prcname2
Special Cases
Projecttitle
Data-driven phenotyping of central disorders of hypersomnolence with unsupervised clustering: toward more reliable diagnostic criteria
Programtype2
Undefined
Orgnameinp2
Concordia University (Montreal, Quebec)
Cihramount2
$750
Cihrequipment2
$0
Programname2
CIHR-ICRH Travel Awards - CSS pool
Keyworddelim
Hypersomnolence; Sleep Medicine
Abstract
Given the translational nature of the study, our findings will have direct impact on the diagnostic procedures of people with a central disorder of hypersomnolence. Presentation of the results will educate Canadian sleep medicine researchers, clinicians, technicians and students on central disorders of hypersomnolence and our proposed future diagnostic criteria. I will also present our newly developed machine learning package that could easily be implemented to identify subgroups in other populations. Collaboration is a central theme in my PhD projects. The submitted research was made possible by an international multidisciplinary team of clinicians, data scientist and physicists and it helped us to provide this novel perspective on diagnostic procedures of central disorders of hypersomnolence. In my neuroimaging projects I am closely collaborating with Concordia University and we are currently working on multiple projects in which we stimulate global collaboration on central disorders of hypersomnolence.
Competitiondate
202301
Approvedterm2
1 yr 0 mth
Pinamesdelim
Gool, Jari
Approvedterm
1 an 0 mois
Cihrcontribution2
Inst of Circ &Respiratory Hlth~ $750~ $0~