Can machine learning identify inherited causes of thrombocytopenia? A feasibility study

Key Points

• This research aims to evaluate the feasibility of using machine learning to identify inherited causes of thrombocytopenia.
• Developed machine learning models using data from the service evaluation of a gene panel for thrombocytopenia.
• Analyzed supplemental data from Gurumurthy et al. for relevant genetic patterns.
• Identified several inherited genetic factors associated with thrombocytopenia.
• Demonstrated the capability of machine learning to streamline genetic evaluations in patients.