A Conceptual Framework to Predict Disease Progressions in Patients with Chronic Kidney Disease, Using Machine Learning and Process Mining...21st International Conference on Informatics, Management, and Technology in Healthcare (ICIMTH), July 1-3, 2023, Athens, Greece.
Process Mining is a technique looking into the analysis and mining of existing process flow. On the other hand, Machine Learning is a data science field and a sub-branch of Artificial Intelligence with the main purpose of replicating human behavior through algorithms. The separate application of Pro...
| Publicado en: | Studies in Health Technology & Informatics Vol. 305; pp. 190 - 194 |
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| Autores principales: | , , |
| Formato: | 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=164789468&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 164789468 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: 305 pid: 344 pub: Sage Publications Inc. place: Thousand Oaks, California artinfo: ui: 164789468 164789468 164789468 10.3233/SHTI230459 164789468 ppf: 190 ppct: 4 formats: tig: atl: A Conceptual Framework to Predict Disease Progressions in Patients with Chronic Kidney Disease, Using Machine Learning and Process Mining...21st International Conference on Informatics, Management, and Technology in Healthcare (ICIMTH), July 1-3, 2023, Athens, Greece. aug: au: KANDASAMY, Nichalini CHAUSSALET, Thierry BASUKOSKI, Artie affil: School of Computer Science & Engineering, University of Westminster, London, UK. sug: subj: Kidney Failure, Chronic Physiopathology Disease Progression Risk Factors Risk Assessment Methods Machine Learning Algorithms Workflow Conceptual Framework Human Congresses and Conferences Greece Greece Prediction Models Health Care Delivery Probability ab: Process Mining is a technique looking into the analysis and mining of existing process flow. On the other hand, Machine Learning is a data science field and a sub-branch of Artificial Intelligence with the main purpose of replicating human behavior through algorithms. The separate application of Process Mining and Machine Learning for healthcare purposes has been widely explored with a various number of published works discussing their use. However, the simultaneous application of Process Mining and Machine Learning algorithms is still a growing field with ongoing studies on its application. This paper proposes a feasible framework where Process Mining and Machine Learning can be used in combination within the healthcare environment. pubtype: Academic Journal doctype: proceedings research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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