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TechTreat using Machine Learning

机译:TechTreat使用机器学习

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摘要

Now-a-days the world is transcending towards e-commerce, where people get products delivered at the doorstep. This paper presents an innovative method to simplify the treatment process of a patient by using Optical Character Recognition (OCR) technique. OCR extracts the text present in an image after scanning. This can be used to identify the text written for a input image, when a doctor's prescription is given as input, the medicine name prescribed by the doctor can be identified and on that account the medicine can be shopped by using the application seemingly. The extracted text from prescription can also be used to create the reminder to take the medicine on timely manner, similarly reminding to buy the medicines again when the set or packet is about to end. This would additionally help the patient to track his medicine consumption by analyzing the graph generated by the app. Furthermore by scanning the medicine name with OCR technique, one can detail of the medicine and also the purpose for which the person consumed.
机译:现在 - 世界上的一个日子正在迈向电子商务,人们在门口送出的产品。本文介绍了一种通过光学字符识别(OCR)技术简化患者的治疗过程的创新方法。 OCR在扫描后提取在图像中存在的文本。这可用于识别为输入图像编写的文本,当医生的处方作为输入时,可以识别医生规定的药物名称,并在该帐户上似乎可以使用该应用程序购物。来自处方的提取文本也可用于创建提醒,以及时服用药物,同样提醒当集合或包即将结束时再次购买药品。这还会通过分析应用程序生成的图表,帮助患者跟踪他的药物消耗。此外,通过用OCR技术扫描药物名称,一种药物可以对药物的细节以及所消耗的人的目的。

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