Bipin Kumar Rai
ABSTRACT
More often than not, we find prescriptions are not properly written which are being handed over to patients and the diagnostic reports handed can't be monitored without the doctor's involvement due to lack of medical knowledge. This has resulted in putting the patient's safety at risk, and also sometimes there is an unavailability of doctors for the required time for monitoring of reports because of which there is also a danger to patients’ life. The objective of this Medical Prescription and Report Analyzer (MPRA) model is to help patients get an easy understanding of their report and prescribed medicine by addressing the important challenge of extraction of handwritten text data from images, analyzing it using test data then giving a much-refined output. Handwriting Character Recognition (HCR) technique, as well as Printer Character Recognition (PCR) technique, have been used to identify both handwritten as well as printed text in prescription and report, and techniques such as image processing to refine image to give an accurate output.
- Preetha S, Afrid I. M., Karthik Hebbar P., Nishchay S. K., 2020. Machine Learning for Handwriting Recognition. International Journal of Computer (IJC), 38(1), 93-101.Google Scholar
- Deepak Gowda, Likitha N, Harusha S, Hruday M, Girish B G, S. B. S. Younus, S. Shajun Nisha, and M. Mohamed Sathik, 2020. "Comparative Analysis of Activation Functions in Neural Network for Handwritten Digits." Studies in Indian Place Names 40.71: 793-799.Google Scholar
- Jagan Mohan Reddy D, A Vishnuvardhan Reddy, 2019. Recognition of Handwritten Characters using Deep Convolutional Neural Network (IJITEE) ISSN: 2278-3075, Volume-8, Issue-6S4, April.Google Scholar
- N. Kloehn, G. Leroy, D. Kauchak, Y. Gu, S. Colina, N.P. Yuan and D. Revere, 2019. "Provision of Tailored Health Information for Patient Empowerment", CompSysTech '19: Proceedings of the 20th International Conference on Computer Systems and Technologies, Pages 213–220.Google Scholar
- M. Agarwal, Shalika, V. Tomar, P. Gupta, 2019. “Handwritten Character Recognition using Neural Network and TensorFlow”. International Journal of Innovative Technology and Exploring Engineering (IJITEE) ISSN: 2278-3075, Volume-8, Issue- 6S4.Google Scholar
- P. Bojja, N.S. Velpuri, G.K. Pandala, S.D.L. Polavarapu, P.R. Kumari, 2019 "Handwritten Text Recognition using Machine Learning Techniques in Application of NLP", International Journal of Innovative Technology and Exploring Engineering (IJITEE) ISSN: 2278-3075, Volume-9 Issue-2.Google Scholar
- Xiao Peng, Liu Na, Ji Changqing, Li Yuanyuan, Lu Ying, Tang Xiaojun, 2018. Medical diagnosis expert system based on compatibility analysis {J/OL}. Computer Engineering and Applications: 1–8.Google Scholar
- S. M. Shamim, Mohammad Badrul Alam Miah, Angona Sarker, Masud Rana, Abdullah Al Jobair, 2018. "Handwritten digit recognition using machine learning algorithms". Global Journal Of Computer Science And Technology.Google Scholar
- Salma Shofia Rosyda, and Tito Waluyo Purboyo, 2018. "A Review of Various Handwriting Recognition Methods." International Journal of Applied Engineering Research 13.2: 1155-1164.Google Scholar
- X. Li, X. Xie, 2018. "A Disease Diagnosis Method Based on Machine Learning", ICIIP '18: Proceedings of the 3rd International Conference on Intelligent Information Processing, Pages 184–189.Google ScholarDigital Library
- Mahmoud M. Abu Ghosh and Ashraf Y. Maghari, 2017. A Comparative Study on Handwritten Digit Recognition Using Neural Network, published in, ICPET.Google Scholar
- Lin Zhen, 2016. Online medical diagnosis system based on data mining{J}. Computer and Information Technology, 24(06): 41–43+67.Google Scholar
- Wang Rui, 2016. Design and Implementation of Medical Diagnostic System Based on WEB{D}. Zhengzhou University.Google Scholar
- Ahmed Mahdi Obaid, Hazem M. El Bakry, M.A. Eldosuky, A.I. Shehab, 2016. "Handwritten text recognition system based on neural network." Int. J. Adv. Res. Comput. Sci. Technol.(IJARCST) 4.1: 72-77.Google Scholar
- Omar Karram and Asma H Sbeih, 2015. “Clinical Laboratory Test Results Reader”, IT and Computer Science department, Palestine AL-Ahliya University Bethlehem, Palestine.Google Scholar
- R. S. Surya Nath, and S. Afseena, 2015. "Handwritten Character Recognition–A Review." International Journal of Scientific and Research Publications.Google Scholar
- Serrano, Nicolás, Adrià Giménez, Jorge Civera, Alberto Sanchis, and Alfons Juan, 2014. “Interactive handwriting recognition with limited user effort.”International Journal on Document Analysis and Recognition (IJDAR) 17, no. 1.Google Scholar
- Pradeep J., Srinivasan E. and Himavathi S., Christoph Amma, Georgi Marcus and Schultz Tanja, 2014. “Airwriting: a wearable handwriting recognition system.” Personal and ubiquitous computing 18, no1: 191-203.Google Scholar
- N. Das, S. Pramanik, S. Basu, P. K. Saha, R. Sarkar, M. Kundu, and M. Nasipuri, 2014. Recognition of handwritten Bangla basic characters and digits using convex hull based feature set :1410.0478.Google Scholar
- Parvez, Mohammad Tanvir, and Sabri A. Mahmoud, 2013. “Arabic handwriting recognition using structural and syntactic pattern attributes.” Pattern Recognition 46, no. 1, 141-154.Google ScholarDigital Library
- Andreas Fischer, Y. Suen Ching, Frinken Volkmar, Riesen Kaspar and Bunke Horst, 2013. “A fast matching algorithm for graph-based handwriting recognition.” In Graph-Based Representations in Pattern Recognition, pp. 194-203. Springer Berlin Heidelberg.Google Scholar
- Yuan A, Bai G, Jiao L, and Liu Y., 2012. Offline handwritten English character recognition based on a convolutional neural network. In Proceedings of the 10th IAPR International Workshop on Document Analysis Systems, pages 125–129.Google Scholar
- Om Prakash Sharma, M. K. Ghose, Krishna Bikram Shah, 2012. "An Improved Zone-Based Hybrid Feature Extraction Model for Handwritten Alphabets Recognition Using Euler Number", International Journal of Soft Computing and Engineering (ISSN: 2231 - 2307), Vol. 2, Issue 2, pp. 504-508.Google Scholar
- G. DeJong, S.H. Lim, 2011. Explanation-Based Learning. In: Sammut C., Webb G.I. (eds) Encyclopedia of Machine Learning. Springer, Boston, MA.Google Scholar
- Anita Pal & Dayashankar Singh, 2010. "Handwritten English Character Recognition Using Neural," Network International Journal of Computer Science & Communication. vol. 1, No. 2, July-December, pp. 141-144.Google Scholar
- G. Luo, and C. Tang, 2008. "On Iterative Intelligent Medical Search", SIGIR '08: Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval, Pages 3–10.Google Scholar
- R. Milewski and V. Govindaraju, 2006. Extraction of handwritten Text from Carbon Copy medical Form Images, Document Analysis Systems, Nelson, NZ.Google Scholar
- V. Govindaraju, 2006. "Indexing and Searching Handwritten Medical Forms", dg. o '06: Proceedings of the 2006 international conference on Digital government research, Pages 73–74.Google Scholar
- Ting, S. Chun-lin, and D. Jian, 2005. Handwritten character recognition using principal component analysis. MINI-MICRO Systems,26(2): p. 289-292.Google Scholar
- J. Semecky, J. Zvarova, 2002. European Center for Medical Informatics, Statistics and Epidemiology – Cardio, Institute of Computer Science AS CR, Pod Vodarenskou vezi 2, Prague, The Czech Republic.Google Scholar
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