A Clinical Support System Based on Quality of Life Estimation.
Quality of life is a concept influenced by social, economic, psychological, spiritual or medical state factors. More specifically, the perceived quality of an individual's daily life is an assessment of their well-being or lack of it. In this context, information technologies may help on the managem...
| Publicado en: | Journal of Medical Systems Vol. 39; no. 10; pp. 1 - 12 |
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| Autores principales: | , , , |
| Formato: | equations & formulas pictorial research tables/charts Journal Article |
| Publicado: |
Springer Nature
Oct2015
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=115925179&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 115925179 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01485598 4N0 jtl: Journal of Medical Systems issn: 01485598 maglogo: N pubinfo: dt: Oct2015 vid: 39 iid: 10 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 115925179 115925179 115925179 10.1007/s10916-015-0308-1 115925179 ppf: 1 ppct: 11 formats: fmt: @attributes: type: P tig: atl: A Clinical Support System Based on Quality of Life Estimation. aug: au: Faria, Brígida Gonçalves, Joaquim Reis, Luis Rocha, Álvaro sug: subj: Quality of Life Evaluation Decision Support Systems, Clinical Neoplasms Psychosocial Factors Neoplasms Therapy Information Technology Data Mining Algorithms Human Descriptive Statistics P-Value Smoking Neoplasms Classification Knowledge Management Electronic Health Records Quality-Adjusted Life Years Systems Design Rasch Analysis Questionnaires Multiple Linear Regression Funding Source ab: Quality of life is a concept influenced by social, economic, psychological, spiritual or medical state factors. More specifically, the perceived quality of an individual's daily life is an assessment of their well-being or lack of it. In this context, information technologies may help on the management of services for healthcare of chronic patients such as estimating the patient quality of life and helping the medical staff to take appropriate measures to increase each patient quality of life. This paper describes a Quality of Life estimation system developed using information technologies and the application of data mining algorithms to access the information of clinical data of patients with cancer from Otorhinolaryngology and Head and Neck services of an oncology institution. The system was evaluated with a sample composed of 3013 patients. The results achieved show that there are variables that may be significant predictors for the Quality of Life of the patient: years of smoking ( p value 0.049) and size of the tumor ( p value < 0.001). In order to assign the variables to the classification of the quality of life the best accuracy was obtained by applying the John Platt's sequential minimal optimization algorithm for training a support vector classifier. In conclusion data mining techniques allow having access to patients additional information helping the physicians to be able to know the quality of life and produce a well-informed clinical decision. pubtype: Academic Journal doctype: equations & formulas pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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