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METHOD AND SYSTEMS FOR PREDICTING MEDICAL CONDITIONS AND FORECASTING RATE OF INFECTION OF MEDICAL CONDITIONS VIA ARTIFICIAL INTELLIDENCE MODELS USING GRAPH STREAM PROCESSORS
METHOD AND SYSTEMS FOR PREDICTING MEDICAL CONDITIONS AND FORECASTING RATE OF INFECTION OF MEDICAL CONDITIONS VIA ARTIFICIAL INTELLIDENCE MODELS USING GRAPH STREAM PROCESSORS
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机译：使用图形流处理器预测医疗条件的方法和系统，通过人工知识分程模型预测医疗状况感染预测率
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摘要
Systems and methods are disclosed for predicting one or more medical conditions utilizing digital images and employing artificial intelligent algorithms. The system offers accurate predictions utilizing quantized pre-trained deep learning model. The pre-trained deep learning model is trained on data samples and later refined as the system processes more digital images or new medical conditions are incorporated. One pre-trained deep learning model is used to predict the probability of one or more medical conditions and identify locations in the digital image effected by the one or more medical conditions. Further, one pre-trained deep learning model utilizing additional data and plurality of digital images, forecasts rate of infection and spread of the medical condition over time.
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