TechTreat using Machine Learning

Pawan Mukesh Badsewal, K. Bhatt, D. Chheda, Harsh Haresh Vaghani, Jyoti Mali
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Abstract

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.
使用机器学习的技术治疗
如今,世界正在向电子商务发展,人们可以在家门口获得产品。本文提出了一种利用光学字符识别(OCR)技术简化患者治疗过程的创新方法。OCR在扫描后提取图像中的文本。这可以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,可以识别医生开出的药物名称,因此可以通过使用应用程序来购买药物。从处方中提取的文字也可以用来创建及时服药的提醒,同样在一套或一包即将结束时提醒再次购买药物。这还可以通过分析应用程序生成的图表来帮助患者跟踪他的药物消耗。此外,通过使用OCR技术扫描药物名称,人们可以详细了解药物以及该人消费的目的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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