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A Factored Co-morbidity Approach for Modelling CKD Progression

Poh, Norman, Bull, S, Tirunagari, Santosh, Farmer, C, Cole, N and de Lusignan, Simon (2017) A Factored Co-morbidity Approach for Modelling CKD Progression In: BRS 2017 Conference, 2017-04-26 - 2017-04-28, Nottingham, UK.

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Abstract

Introduction: One of the key challenges in understanding CKD progression is its multifaceted aetiology. This is evident as it is commonly observed that hypertension, heart disease and diabetes are common co-morbidities of CKD. In other words, the existence of co-morbidities can potentially alter the risk of CKD progression, e.g. from stage 3 to 5. Unfortunately, “flat” risk models such as logistic regression, e.g. as implemented by the QKidney score and many similar risk models, are not designed to extract the rich structure induced by a multitude of co-morbidities, the state of which are often captured in routinely collected patient data.

Item Type: Conference or Workshop Item (Conference Poster)
Subjects : Computer Science
Divisions : Faculty of Engineering and Physical Sciences > Computing Science
Authors :
NameEmailORCID
Poh, NormanN.Poh@surrey.ac.ukUNSPECIFIED
Bull, SUNSPECIFIEDUNSPECIFIED
Tirunagari, Santoshsantosh.tirunagari@surrey.ac.ukUNSPECIFIED
Farmer, CUNSPECIFIEDUNSPECIFIED
Cole, NUNSPECIFIEDUNSPECIFIED
de Lusignan, SimonS.Lusignan@surrey.ac.ukUNSPECIFIED
Date : 2017
Related URLs :
Depositing User : Symplectic Elements
Date Deposited : 10 Mar 2017 15:08
Last Modified : 19 Jul 2017 12:35
URI: http://epubs.surrey.ac.uk/id/eprint/813744

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