Analysis of disease clusters and patient outcomes in people with multiple long term conditions using hypergraphs. | Zendy

James Rafferty | Zendy; Alexandra Lee | Zendy; Ed Bennett | Zendy; Ronan A Lyons | Zendy; Farideh Jalalinajafabadi | Zendy; Thamer Ba Dhafari | Zendy; Alan Watkins | Zendy; Alexander Pate | Zendy; Glen P. Martin | Zendy; Ashley Akbari | Zendy; Niels Peek | Zendy; Rowena Bailey | Zendy

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Analysis of disease clusters and patient outcomes in people with multiple long term conditions using hypergraphs.

Author(s) -

James Rafferty,

Alexandra Lee,

Ed Bennett,

Ronan A Lyons,

Farideh Jalalinajafabadi,

Thamer Ba Dhafari,

Alan Watkins,

Alexander Pate,

Glen P. Martin,

Ashley Akbari,

Niels Peek,

Rowena Bailey

Publication year - 2022

Publication title -

international journal for population data science

Language(s) - English

Resource type - Journals

ISSN - 2399-4908

DOI - 10.23889/ijpds.v7i3.2028

Subject(s) - centrality , population , term (time) , disease , computer science , medicine , set (abstract data type) , multimorbidity , resource (disambiguation) , health care , cohort , measure (data warehouse) , epidemiology , data science , data mining , mathematics , environmental health , statistics , computer network , physics , pathology , quantum mechanics , economics , programming language , economic growth

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