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/

Keywords

Machine Learning
Type 2 diabetes
Multimorbidity
Comorbidities
Personalised Medicine
Bioinformatics

UN SDGs

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

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

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

Keywords

UN SDGs

Student theses

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

Cite this