A Comparative Study of Machine Learning Algorithms as Expert Systems in Medical Diagnosis (Asthma)
作者： BDCN Prasad , PESN Krishna Prasad , Yeruva Sagar , None
DOI: 10.1007/978-3-642-17857-3_56
关键词:
摘要: In Medical Diagnosis a plenty of complex diseases could not be predicted properly. Now days in India one the major is Asthma. order to diagnose disease asthma with Expert Systems, identifying using Machine learning algorithms such as Auto-associative memory neural networks, Bayesian ID3 and C4.5. We present comparative study among these use medical expert systems on patient data. gathered clinical signs symptoms patients from various resources. Based analysis data, it found that networks are best remaining terms efficiency accuracy proper disease.
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sci-hub.st 参考文章(5)
Kjell Torèn, Jonas Brisman, Bengt Järvholm, Asthma and Asthma-like Symptoms in Adults Assessed by Questionnaires Chest. ,vol. 104, pp. 600- 608 ,(1993) , 10.1378/CHEST.104.2.600
Andrés Pomi, Fernando Olivera, Context-sensitive autoassociative memories as expert systems in medical diagnosis BMC Medical Informatics and Decision Making. ,vol. 6, pp. 39- 39 ,(2006) , 10.1186/1472-6947-6-39
Eduardo Mizraji, Andrés Pomi, Fabián Alvarez, Multiplicative contexts in associative memories BioSystems. ,vol. 32, pp. 145- 161 ,(1994) , 10.1016/0303-2647(94)90038-8
PETER SZOLOVITS, Artificial Intelligence in Medical Diagnosis Annals of Internal Medicine. ,vol. 108, pp. 80- 87 ,(1988) , 10.7326/0003-4819-108-1-80
SOME PROPERTIES OF A NEURAL MODEL FOR MEMORY WORLD SCIENTIFIC. pp. 3- 4 ,(1995) , 10.1142/9789812795885_OTHERS01