Decision making for health care professionals: use of decision trees within the community mental health setting.

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How researchers see this paper

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Distilling Knowledge from Deep Networks with Applications to Healthcare Domain (2015, background): “Decision trees [36] - due to their easy interpretability - have been quite successfully employed in the healthcare domain [6, 45, 14] and clinicians have embraced it to make informed decisions.”
Decision Trees: An Overview and Their Use in Medicine (2002, methodology): “Bonner examined the application of the decision tree approach to collaborative clinical decision-making in mental health care in the United Kingdom.(42) While this approach to decision-making has been examined in the acute care setting, there is little published evidence of its use in clinical decis”
Improving the Interpretability of Deep Neural Networks with Knowledge Distillation (2018, background): “For instance, decision trees are preferred over DNN in the health care domain for disease diagnosis due to their ease of interpretation [1] [2] [3].”
Interpretable Deep Models for ICU Outcome Prediction (2016, methodology): “Decision trees 14 , due to their ease of interpretation, have been successfully employed in the health care domain 15,16,17 , and clinicians have embraced them for predictive tasks such as disease diagnosis.”