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editorial
. 2022 Nov 1;2(6):717–719. doi: 10.1016/j.jacasi.2022.08.005

Table 1.

Considerations and Checklists in Performing Medical Research Using ML9,10,12,13

Considerations Checklists
Distinguishing results from previous statistical analysis
  • ●

    Is ML analysis coherent with previous results?
  • ●

    Is ML analysis outperforming previous results?

  • ●

    Is ML analysis using unstructured data?

  • ●

    Is ML analysis producing novel findings?

Appropriate internal and external validation
  • ●

    Is there an appropriate process for internal validation?
  • ●

    Has external validation been performed and coherent results obtained?

  • ●

    Is the population for external validation independent from that used for the construction and testing of the ML model?

Proper control of bias
  • ●

    Is the population size appropriate to perform the presented ML analysis?
  • ●

    Is the performance validation process reasonable and appropriate?

  • ●

    Have the missing data been handled properly?

  • ●

    Is there control and measurement of potential overfitting?

  • ●

    Is the study performed according to a checklist designed for medical research using ML?

ML = machine learning.