SMART HEALTH RECORDS
Journal: International Journal of Computer Science and Mobile Computing - IJCSMC (Vol.11, No. 7)Publication Date: 2022-07-30
Authors : Sheilender Kumar Yadav; Lalit Malik;
Page : 1-7
Keywords : Clinic; Billing; e-prescription; Optical Character Recognition; HER; EMR;
Abstract
To manage the updated medical history and records of health care is a comprehensive process, and with the time being technology like Vision API, AutoML Google Cloud has done a remarkable role in data storage and retrieval. As we all know that the manual data process, paperwork, and similar kind of documentation have extensive processes that usually take huge time, and effort to complete the majority of the processes takes a lot of time and money to complete. So to reduce the time and efforts at a low cost now we have an excellent technique to cope up with all these issues named machine learning algorithms. Vector machines and ML-based OCR recognition techniques are deliberately collecting potency in Objects and different document classification methods such as Google's Cloud Vision API and MATLAB's machine learning-based handwriting recognition technology. Researchers of MIT are innovating new techniques with the help of Machine Learning which is the succeeding generation of astute, smart health records, by integrating ML-based tools from scratch to encourage with better analysis, diagnosis, superb treatment recommendations.
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Last modified: 2022-07-05 00:57:17