Analysis on decision-making process and prediction of subsequent behavior of medical care team using medical records with the basket analysis and attention profiling mark-up language

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To establish a suitable method for determining intendment formed between a medical care team staff and predict the subsequent behavior, we examined the suitability of the association (basket) analysis and the attention profiling mark-up language for this purpose by exposing hidden or implicit relationship from medical records. Comparison with medical plan written in assessment and the actual records of treatments, predictive value was improved by the exposure of implicit knowledge and information using the association analysis (from around 40% to 60 to 70%). Since the importance of the accuracy of natural language processing has been found, we thus developed and introduced a method for syntactic analysis by a combination of the dependency parsing and the syntactic tree analysis. This procedure allowed us to figure out the decision-making process and the subsequent behavior of the team at a certain level (about 80%).