Expert system for determining patient treatment response
作者： Ahmad Khodayari-Rostamabad , Gary Hasey , Hubert De Bruin , Duncan Maccrimmon , James Reilly
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摘要: A medical digital expert system to predict a patient's response variety of treatments (using pre-treatment information) is described. The utilizes data fusion, advanced signal/information processing and machine learning/inference methodologies technologies integrate explore diverse sets attributes, parameters information that are available select the optimal treatment choice for an individual or subset individuals suffering from any illness disease including psychiatric, mental neurological disorders illnesses. methodology can also be used determine confirm diagnosis, estimate level, index, severity critical condition, provide list likely diagnoses suffering/experiencing illness, disorder condition.
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