Development of a machine learning classifier for stratification of type-2 diabetes based on associated comorbidities

Angelina Villikudathil; Declan Mc Guigan; Andrew English; Catriona Kelly; Paula McClean; AJ Bjourson; Priyank Shukla

Development of a machine learning classifier for stratification of type-2 diabetes based on associated comorbidities

Angelina Villikudathil
, Declan Mc Guigan
, Andrew English
, Catriona Kelly
, Paula McClean
, AJ Bjourson
, Priyank Shukla

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Original language	English
Title of host publication	Development of a machine learning classifier for stratification of type-2 diabetes based on associated comorbidities
Publication status	Published (in print/issue) - 12 Sept 2018
Event	TMED 2018 - Translational Medicine Conference: Innovating to Live Well for Longer - The City Hotel, Derry/Londonderry, United Kingdom Duration: 12 Sept 2018 → 13 Sept 2018 Conference number: 9 http://www.c-tric.com/tmed9-innovating-to-live-well-for-longer/

Conference

Conference	TMED 2018 - Translational Medicine Conference
Abbreviated title	TMED
Country/Territory	United Kingdom
City	Derry/Londonderry
Period	12/09/18 → 13/09/18
Internet address	http://www.c-tric.com/tmed9-innovating-to-live-well-for-longer/

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Machine Learning
Type 2 diabetes
Multimorbidity
Comorbidities
Personalised Medicine
Bioinformatics

Biomarkers associated with glycaemic control, comorbidity and response to GLP-1 analogue therapy
English, A. R. (Author), McClean, P. (Supervisor) & Kelly, C. (Supervisor), May 2018
Student thesis: Doctoral Thesis

File
Computational approaches in biomarker discovery for treatment response and comorbidity in type-2 diabetes
Villikudathil, A. T. (Author), McClean, P. (Supervisor), Bjourson, T. (Supervisor) & Shukla, P. (Supervisor), Nov 2022
Student thesis: Doctoral Thesis

File
Identifying drivers of glycaemic control in response to sulphonylurea treatment
McGuigan, D. H. (Author), Kelly, C. (Supervisor), Bjourson, A. (Supervisor) & Mc Clean, P. (Supervisor), May 2018
Student thesis: Doctoral Thesis

File

Cite this

@inproceedings{bcf7666ecb504e4f83c28b02d203b45c,

title = "Development of a machine learning classifier for stratification of type-2 diabetes based on associated comorbidities",

keywords = "Machine Learning, Type 2 diabetes, Multimorbidity, Comorbidities, Personalised Medicine, Bioinformatics",

author = "Angelina Villikudathil and \{Mc Guigan\}, Declan and Andrew English and Catriona Kelly and Paula McClean and AJ Bjourson and Priyank Shukla",

year = "2018",

month = sep,

day = "12",

language = "English",

booktitle = "Development of a machine learning classifier for stratification of type-2 diabetes based on associated comorbidities",

note = "TMED 2018 - Translational Medicine Conference : Innovating to Live Well for Longer, TMED ; Conference date: 12-09-2018 Through 13-09-2018",

url = "http://www.c-tric.com/tmed9-innovating-to-live-well-for-longer/",

}

Villikudathil, A, Mc Guigan, D, English, A, Kelly, C , McClean, P , Bjourson, AJ & Shukla, P 2018, Development of a machine learning classifier for stratification of type-2 diabetes based on associated comorbidities. in Development of a machine learning classifier for stratification of type-2 diabetes based on associated comorbidities. TMED 2018 - Translational Medicine Conference, Derry/Londonderry, United Kingdom, 12/09/18.

Development of a machine learning classifier for stratification of type-2 diabetes based on associated comorbidities. / Villikudathil, Angelina; Mc Guigan, Declan; English, Andrew et al.
Development of a machine learning classifier for stratification of type-2 diabetes based on associated comorbidities. 2018.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Development of a machine learning classifier for stratification of type-2 diabetes based on associated comorbidities

AU - Villikudathil, Angelina

AU - Mc Guigan, Declan

AU - English, Andrew

AU - Kelly, Catriona

AU - McClean, Paula

AU - Bjourson, AJ

AU - Shukla, Priyank

N1 - Conference code: 9

PY - 2018/9/12

Y1 - 2018/9/12

KW - Machine Learning

KW - Type 2 diabetes

KW - Multimorbidity

KW - Comorbidities

KW - Personalised Medicine

KW - Bioinformatics

M3 - Conference contribution

BT - Development of a machine learning classifier for stratification of type-2 diabetes based on associated comorbidities

T2 - TMED 2018 - Translational Medicine Conference

Y2 - 12 September 2018 through 13 September 2018

ER -

Development of a machine learning classifier for stratification of type-2 diabetes based on associated comorbidities

Conference

UN SDGs

Keywords

Student theses

Biomarkers associated with glycaemic control, comorbidity and response to GLP-1 analogue therapy

Computational approaches in biomarker discovery for treatment response and comorbidity in type-2 diabetes

Identifying drivers of glycaemic control in response to sulphonylurea treatment

Cite this