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Machine learning techniques are commonly used in quantitative data analysis, where algorithms are used to make predictions, classifications, and uncover patterns within numerical or structured data. However, machine learning can also be applied to qualitative data analysis, although the methods and goals may differ from those used with quantitative data. Machine learning can expedite the process of analysing large volumes of qualitative data and identify patterns that may not be immediately evident through manual analysis. However, there is currently limited knowledge on the specific software, actual process, the potentials, issues and considerations in using machine learning in data analysis of nursing and midwifery qualitative research.