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Methods Inf Med 2001; 40(05): 392-396
DOI: 10.1055/s-0038-1634198
Original Article
Schattauer GmbH

Induction of Hypotheses Concerning Hip Arthroplasty: A Modified Methodology for Medical Research

V. Stankovski
1   Laboratory for Biomedical Engineering, University Medical Center, Ljubljana, Slovenia
,
I. Bratko
2   Faculty of Computer and Information Science, University of Ljubljana, Slovenia
,
J. Demšar
2   Faculty of Computer and Information Science, University of Ljubljana, Slovenia
,
D. Smrke
1   Laboratory for Biomedical Engineering, University Medical Center, Ljubljana, Slovenia
› Author Affiliations
Further Information

Publication History

Publication Date:
08 February 2018 (online)

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Summary

Objectives: The objective of this study is to advocate a methodology for medical research that, in contrast to traditional medical methodology, exploits the flexibility of machine learning and retains the kind of statistical tests that are generally accepted in the medical field for the confirmation of hypotheses.

Methods: First, the medical problem is defined and data for an observed population are collected; then a machine learning tool is used to generate hypotheses regarding the problem; finally, statistical methods are used to determine the validity of the generated hypotheses.

Results: To illustrate this approach, the problem of defining indications for hip arthroplasty after an acute medial femoral neck fracture is investigated as a case study.

Conclusions: The methodology is similar to the usual style of applying machine learning, but insists on a link to the techniques of statistical tests that are normally used in medicine. It aims at a more flexible and economical use of experimental data than in the usual medical research, which is enabled by techniques of machine learning. At the same time, by reference to traditional statistical tests, it is hoped that this approach will lead to improved acceptance of machine learning in the medical field.

Keywords

Research Methodology - Medical Data Analysis - Machine Learning - Regression Trees - Hip Arthroplasty
 

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