Effect of Clinical and Demographic Variables on the Hospital Stay of Patients Undergoing Total Knee Arthroplasty...21st International Conference on Informatics, Management, and Technology in Healthcare (ICIMTH), July 1-3, 2023, Athens, Greece.

The knee is the joint most affected by osteoarthritis and in its severe form can significantly affect people's physical and functional abilities. The increased demand for surgery leads to greater attention by health care management to be able to keep costs down. A major expense item for this procedu...

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Publicado en:Studies in Health Technology & Informatics Vol. 305; pp. 131 - 135
Autores principales: MARINO, Marta Rosaria, BOTTINO, Vincenzo, NEGRI, Giacomo, STINGONE, Maria Anna, RUSSO, Mario Alessandro, TRIASSI, Maria
Formato: proceedings research tables/charts Journal Article
Publicado: Sage Publications Inc. 2023
Acceso en línea:Ver este registro en EBSCOhost
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      dt: 2023
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      pub: Sage Publications Inc.
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        atl: Effect of Clinical and Demographic Variables on the Hospital Stay of Patients Undergoing Total Knee Arthroplasty...21st International Conference on Informatics, Management, and Technology in Healthcare (ICIMTH), July 1-3, 2023, Athens, Greece.
      aug:
        au:
          MARINO, Marta Rosaria
          BOTTINO, Vincenzo
          NEGRI, Giacomo
          STINGONE, Maria Anna
          RUSSO, Mario Alessandro
          TRIASSI, Maria
        affil: Department of Public Health, University of Naples “Federico II”, Naples, Italy.
      sug:
        subj:
          Arthroplasty, Replacement, Knee Adverse Effects
          Length of Stay
          Sociodemographic Factors
          Disease Attributes
          Treatment Outcomes
          Human
          Osteoarthritis
          Machine Learning
          Algorithms Classification
          Validity
          Italy
          Multiple Regression
          T-Tests
          Data Analysis Software
          Descriptive Statistics
          Chi Square Test
          Congresses and Conferences Greece
          Greece
      ab: The knee is the joint most affected by osteoarthritis and in its severe form can significantly affect people's physical and functional abilities. The increased demand for surgery leads to greater attention by health care management to be able to keep costs down. A major expense item for this procedure is Length of Stay (LOS). In this study, several Machine Learning algorithms were tested in order to construct not only a valid predictor of LOS but also to know among the selected variables the main risk factors. To do so, activity data from the Evangelical Hospital "Betania" in Naples, Italy, from 2019-2020 were used. Among the algorithms, the best are the classification algorithms with accuracy values exceeding 90%. Finally, the results are in line with those shown by two other comparison hospitals in the area.
      pubtype: Academic Journal
      doctype:
        proceedings
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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