Asyms©-serat: A side-effect risk assessment tool to predict chemotherapy related toxicity in patients with cancer receiving chemotherapy

Julie Cowie; Kevin Swingler; Clare Leadbetter; Roma Maguire; Kathryn McCall; Nora Kearney

Asyms©-serat: A side-effect risk assessment tool to predict chemotherapy related toxicity in patients with cancer receiving chemotherapy

Julie Cowie
, Kevin Swingler
, Clare Leadbetter
, Roma Maguire
, Kathryn McCall
, Nora Kearney

Research output: Chapter in Book/Report/Conference proceeding › Other chapter contribution

Abstract

Patients undergoing chemotherapy want specific information on potential toxicities of their treatment. Such information includes what side-effects they are likely to experience, how severe these side-effects will be, how long they will experience them for, and the best ways of managing them. As well as improving the experiences; of patients, information about potential side-effects may also be of significant benefit clinically,as patients who are 'at risk' of developing certain toxicities may be identified, facilitating more targeted,cost-effective interventions. This paper describes research that uses risk-modelling techniques for identifying patterns in patient side-effect data to aid in predicting side-effects patients are likely to experience. Through analysis of patient data, a patient can receive information specific to the symptoms they are likely to experience. A user-friendly software tool ASyMS©-SERAT (Advanced Symptom Management System-Side-Effect Risk Assessment Tool) has been developed, which presents side-effect information to the patients both at the start of treatment and reviews and monitors predictions with each new cycle of chemotherapy received.

Original language	English
Title of host publication	HEALTHINF 2008
Subtitle of host publication	Proceedings of the First International Conference on Health Informatics
Editors	L Azevedo, AR Londral
Place of Publication	Setubal
Publisher	Institute for Systems and Technologies of Information, Control and Communication
Pages	225-230
Number of pages	6
Volume	2
ISBN (Print)	9789898111166
Publication status	Published - 2008
Event	International Conference on Health Informatics - Funchal, Portugal Duration: 28 Jan 2008 → 31 Jan 2008 http://www.healthinf.biostec.org/HEALTHINF2008/

Conference

Conference	International Conference on Health Informatics
Abbreviated title	HEALTHINF 2008
Country/Territory	Portugal
City	Funchal
Period	28/01/08 → 31/01/08
Internet address	http://www.healthinf.biostec.org/HEALTHINF2008/

Keywords

risk modelling
side-effect prediction
cancer chemotherapy
POPULATION-BASED ASSESSMENT
BREAST-CANCER
SURVIVAL PREDICTION
INDUCED NEUTROPENIA
HOSPITALIZATIONS
INFORMATION
SYMPTOMS
THERAPY
TIME

UN SDGs

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

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Cowie, J., Swingler, K., Leadbetter, C., Maguire, R., McCall, K., & Kearney, N. (2008). Asyms©-serat: A side-effect risk assessment tool to predict chemotherapy related toxicity in patients with cancer receiving chemotherapy. In L. Azevedo, & AR. Londral (Eds.), HEALTHINF 2008: Proceedings of the First International Conference on Health Informatics (Vol. 2, pp. 225-230). Institute for Systems and Technologies of Information, Control and Communication. http://dblp.uni-trier.de/db/conf/biostec/healthinf2008-2.html

Cowie, Julie ; Swingler, Kevin ; Leadbetter, Clare et al. / Asyms©-serat : A side-effect risk assessment tool to predict chemotherapy related toxicity in patients with cancer receiving chemotherapy. HEALTHINF 2008: Proceedings of the First International Conference on Health Informatics. editor / L Azevedo ; AR Londral. Vol. 2 Setubal : Institute for Systems and Technologies of Information, Control and Communication, 2008. pp. 225-230

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title = "Asyms{\textcopyright}-serat: A side-effect risk assessment tool to predict chemotherapy related toxicity in patients with cancer receiving chemotherapy",

abstract = "Patients undergoing chemotherapy want specific information on potential toxicities of their treatment. Such information includes what side-effects they are likely to experience, how severe these side-effects will be, how long they will experience them for, and the best ways of managing them. As well as improving the experiences; of patients, information about potential side-effects may also be of significant benefit clinically,as patients who are 'at risk' of developing certain toxicities may be identified, facilitating more targeted,cost-effective interventions. This paper describes research that uses risk-modelling techniques for identifying patterns in patient side-effect data to aid in predicting side-effects patients are likely to experience. Through analysis of patient data, a patient can receive information specific to the symptoms they are likely to experience. A user-friendly software tool ASyMS{\textcopyright}-SERAT (Advanced Symptom Management System-Side-Effect Risk Assessment Tool) has been developed, which presents side-effect information to the patients both at the start of treatment and reviews and monitors predictions with each new cycle of chemotherapy received.",

keywords = "risk modelling, side-effect prediction, cancer chemotherapy, POPULATION-BASED ASSESSMENT, BREAST-CANCER, SURVIVAL PREDICTION, INDUCED NEUTROPENIA, HOSPITALIZATIONS, INFORMATION, SYMPTOMS, THERAPY, TIME",

author = "Julie Cowie and Kevin Swingler and Clare Leadbetter and Roma Maguire and Kathryn McCall and Nora Kearney",

note = "Funchal, Madeira, January 28-31 2008; International Conference on Health Informatics, HEALTHINF 2008 ; Conference date: 28-01-2008 Through 31-01-2008",

year = "2008",

language = "English",

isbn = "9789898111166",

volume = "2",

pages = "225--230",

editor = "L Azevedo and AR Londral",

booktitle = "HEALTHINF 2008",

publisher = "Institute for Systems and Technologies of Information, Control and Communication",

url = "http://www.healthinf.biostec.org/HEALTHINF2008/",

}

Cowie, J, Swingler, K, Leadbetter, C, Maguire, R, McCall, K & Kearney, N 2008, Asyms©-serat: A side-effect risk assessment tool to predict chemotherapy related toxicity in patients with cancer receiving chemotherapy. in L Azevedo & AR Londral (eds), HEALTHINF 2008: Proceedings of the First International Conference on Health Informatics. vol. 2, Institute for Systems and Technologies of Information, Control and Communication, Setubal, pp. 225-230, International Conference on Health Informatics, Funchal, Portugal, 28/01/08. <http://dblp.uni-trier.de/db/conf/biostec/healthinf2008-2.html>

Asyms©-serat: A side-effect risk assessment tool to predict chemotherapy related toxicity in patients with cancer receiving chemotherapy. / Cowie, Julie; Swingler, Kevin; Leadbetter, Clare et al.
HEALTHINF 2008: Proceedings of the First International Conference on Health Informatics. ed. / L Azevedo; AR Londral. Vol. 2 Setubal: Institute for Systems and Technologies of Information, Control and Communication, 2008. p. 225-230.

Research output: Chapter in Book/Report/Conference proceeding › Other chapter contribution

TY - CHAP

T1 - Asyms©-serat

T2 - International Conference on Health Informatics

AU - Cowie, Julie

AU - Swingler, Kevin

AU - Leadbetter, Clare

AU - Maguire, Roma

AU - McCall, Kathryn

AU - Kearney, Nora

N1 - Funchal, Madeira, January 28-31 2008

PY - 2008

Y1 - 2008

N2 - Patients undergoing chemotherapy want specific information on potential toxicities of their treatment. Such information includes what side-effects they are likely to experience, how severe these side-effects will be, how long they will experience them for, and the best ways of managing them. As well as improving the experiences; of patients, information about potential side-effects may also be of significant benefit clinically,as patients who are 'at risk' of developing certain toxicities may be identified, facilitating more targeted,cost-effective interventions. This paper describes research that uses risk-modelling techniques for identifying patterns in patient side-effect data to aid in predicting side-effects patients are likely to experience. Through analysis of patient data, a patient can receive information specific to the symptoms they are likely to experience. A user-friendly software tool ASyMS©-SERAT (Advanced Symptom Management System-Side-Effect Risk Assessment Tool) has been developed, which presents side-effect information to the patients both at the start of treatment and reviews and monitors predictions with each new cycle of chemotherapy received.

AB - Patients undergoing chemotherapy want specific information on potential toxicities of their treatment. Such information includes what side-effects they are likely to experience, how severe these side-effects will be, how long they will experience them for, and the best ways of managing them. As well as improving the experiences; of patients, information about potential side-effects may also be of significant benefit clinically,as patients who are 'at risk' of developing certain toxicities may be identified, facilitating more targeted,cost-effective interventions. This paper describes research that uses risk-modelling techniques for identifying patterns in patient side-effect data to aid in predicting side-effects patients are likely to experience. Through analysis of patient data, a patient can receive information specific to the symptoms they are likely to experience. A user-friendly software tool ASyMS©-SERAT (Advanced Symptom Management System-Side-Effect Risk Assessment Tool) has been developed, which presents side-effect information to the patients both at the start of treatment and reviews and monitors predictions with each new cycle of chemotherapy received.

KW - risk modelling

KW - side-effect prediction

KW - cancer chemotherapy

KW - POPULATION-BASED ASSESSMENT

KW - BREAST-CANCER

KW - SURVIVAL PREDICTION

KW - INDUCED NEUTROPENIA

KW - HOSPITALIZATIONS

KW - INFORMATION

KW - SYMPTOMS

KW - THERAPY

KW - TIME

UR - https://www.scopus.com/pages/publications/57549102836

M3 - Other chapter contribution

SN - 9789898111166

VL - 2

SP - 225

EP - 230

BT - HEALTHINF 2008

A2 - Azevedo, L

A2 - Londral, AR

PB - Institute for Systems and Technologies of Information, Control and Communication

CY - Setubal

Y2 - 28 January 2008 through 31 January 2008

ER -

Cowie J, Swingler K, Leadbetter C, Maguire R, McCall K, Kearney N. Asyms©-serat: A side-effect risk assessment tool to predict chemotherapy related toxicity in patients with cancer receiving chemotherapy. In Azevedo L, Londral AR, editors, HEALTHINF 2008: Proceedings of the First International Conference on Health Informatics. Vol. 2. Setubal: Institute for Systems and Technologies of Information, Control and Communication. 2008. p. 225-230

Asyms©-serat: A side-effect risk assessment tool to predict chemotherapy related toxicity in patients with cancer receiving chemotherapy

Abstract

Conference

Keywords

UN SDGs

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