Application of Process Mining for Modelling Small Cell Lung Cancer Prognosis...33rd Medical Informatics Europe Conference (MIE2023), May 22-25, 2023, Gothenburg, Sweden.
Process mining is a relatively new method that connects data science and process modelling. In the past years a series of applications with health care production data have been presented in process discovery, conformance check and system enhancement. In this paper we apply process mining on clinica...
| Publicado en: | Studies in Health Technology & Informatics Vol. 302; pp. 18 - 23 |
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| Autores principales: | , , , , , , , |
| Formato: | pictorial proceedings research tables/charts Journal Article |
| Publicado: |
Sage Publications Inc.
2023
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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=163842083&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 163842083 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09269630 U1V jtl: Studies in Health Technology & Informatics issn: 09269630 maglogo: N pubinfo: dt: 2023 vid: 302 pid: 344 pub: Sage Publications Inc. place: Thousand Oaks, California artinfo: ui: 163842083 163842083 163842083 10.3233/SHTI230056 163842083 ppf: 18 ppct: 5 formats: tig: atl: Application of Process Mining for Modelling Small Cell Lung Cancer Prognosis...33rd Medical Informatics Europe Conference (MIE2023), May 22-25, 2023, Gothenburg, Sweden. aug: au: MARZANO, Luca MEIJER, Sebastiaan DAN, Asaf TENDLER, Salomon DE PETRIS, Luigi LEWENSOHN, Rolf RAGHOTHAMA, Jayanth DARWICH, Adam S. affil: Division of Health Informatics and Logistics, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH), KTH Royal Institute of Technology, Huddinge, Sweden sug: subj: Carcinoma, Small Cell Prognosis Lung Neoplasms Prognosis Lung Neoplasms Drug Therapy Chemotherapy, Cancer Methods Treatment Outcomes Evaluation Prediction Models Data Science Data Mining Congresses and Conferences Spain Spain Process Assessment (Health Care) Decision Making, Clinical ab: Process mining is a relatively new method that connects data science and process modelling. In the past years a series of applications with health care production data have been presented in process discovery, conformance check and system enhancement. In this paper we apply process mining on clinical oncological data with the purpose of studying survival outcomes and chemotherapy treatment decision in a real-world cohort of small cell lung cancer patients treated at Karolinska University Hospital (Stockholm, Sweden). The results highlighted the potential role of process mining in oncology to study prognosis and survival outcomes with longitudinal models directly extracted from clinical data derived from healthcare. pubtype: Academic Journal doctype: pictorial proceedings research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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