Accident; analysis and prevention
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Review
Machine learning approaches to analysing textual injury surveillance data: a systematic review.
To synthesise recent research on the use of machine learning approaches to mining textual injury surveillance data. ⋯ The use of narrative text for injury surveillance has grown in popularity, complexity and quality over recent years. With advances in data mining techniques, increased capacity for analysis of large databases, and involvement of computer scientists in the injury prevention field, along with more comprehensive use and description of quality assurance methods in text mining approaches, it is likely that we will see a continued growth and advancement in knowledge of text mining in the injury field.
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Review
Machine learning approaches to analysing textual injury surveillance data: a systematic review.
To synthesise recent research on the use of machine learning approaches to mining textual injury surveillance data. ⋯ The use of narrative text for injury surveillance has grown in popularity, complexity and quality over recent years. With advances in data mining techniques, increased capacity for analysis of large databases, and involvement of computer scientists in the injury prevention field, along with more comprehensive use and description of quality assurance methods in text mining approaches, it is likely that we will see a continued growth and advancement in knowledge of text mining in the injury field.