Comput Math Methods Med - Analysis of a multilevel diagnosis decision support system and its implications: a case study.

Tópicos

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Resumo

Medical diagnosis can be performed in an automatic way with the use of computer-based systems or algorithms. Such systems are usually called diagnostic decision support systems (DDSSs) or medical diagnosis systems (MDSs). An evaluation of the performance of a DDSS called ML-DDSS has been performed in this paper. The methodology is based on clinical case resolution performed by physicians which is then used to evaluate the behavior of ML-DDSS. This methodology allows the calculation of values for several well-known metrics such as precision, recall, accuracy, specificity, and Matthews correlation coefficient (MCC). Analysis of the behavior of ML-DDSS reveals interesting results about the behavior of the system and of the physicians who took part in the evaluation process. Global results show how the ML-DDSS system would have significant utility if used in medical practice. The MCC metric reveals an improvement of about 30% in comparison with the experts, and with respect to sensitivity the system returns better results than the experts.

Resumo Limpo

medic diagnosi can perform automat way use computerbas system algorithm system usual call diagnost decis support system ddsss medic diagnosi system mdss evalu perform ddss call mlddss perform paper methodolog base clinic case resolut perform physician use evalu behavior mlddss methodolog allow calcul valu sever wellknown metric precis recal accuraci specif matthew correl coeffici mcc analysi behavior mlddss reveal interest result behavior system physician took part evalu process global result show mlddss system signific util use medic practic mcc metric reveal improv comparison expert respect sensit system return better result expert

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