Abstract
Advancement in information technology and improved communication medium has solved many social issues. It has a great contribution to the healthcare sector. Issues like unavailability of primary health care or healthcare personnel in the outback area still remain unsolved. Many have put forth the concept of vending machines in solving the problem of medicine availability in rural or tribal areas. These vending machines controlled by the microcontroller like Raspberry Pi or BeagleBone and stepper motor are essential part of hardware of these machines which dispenses medicines, and a comparative study of such systems is mentioned in this paper along with study of algorithm which works effectively on classification and prediction of diseases; many machine learning algorithms are used specifically to deal with classification and prediction of diseases which have high accuracy. A study of IoT-based systems which solve problems of unavailability of healthcare personnel by transmitting healthcare data of patients and remotely analysing this transmitted healthcare data such as the body temperature, pulse rate and other different parameters using sensors is also mentioned. Study of medicine dispensing machine and health monitoring system embedded into one machine. The proposed system hardware means the dispensing machine works 24 h with less battery for wearable devices. This paper supports the study of healthcare system machines and realizes the actual understanding or importance of primary health care in rural areas for minor and major diseases.
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References
Desai, P., Pattnaik, B., Aditya, T.S., Rajaraman, K., Dey, S., Aarthy, M.: All Time Medicine and Health Device. Vellore Institute of Technology Vellore, India
Neha1, Kumari2, P., Kang3, H.P.S.: Smart Health Monitoring System. UCIM/SAIF/CIL, Panjab University, Chandigarh, India
Ramana Murthy, M.V.: Mobile based Primary Health Care System for Rural India. In: Mobile Computing and Wireless Networks. CDAC, Electronics City, Bangalore, 560100, murthy@ncb.ernet.in
Kunjir, A., Sawant, H., Shaikh, N.F.: Data mining and visualization for prediction of multiple diseases in healthcare. Modern Education Society College of Engineering, Pune
Lee, C., Ventola, M.S.: Mobile devices and apps for healthcare professionals: uses and benefits
Utekar, R.G., Umale, J.S.: Automated IoT Based Healthcare System for Monitoring of Remotely Located Patients. Department of Computer Engineering, Pimpri Chinchwad College of Engineering, Pune 411044
Chen, M., Hao, Y., Hwang, K., Fellow, IEEE, Wang, L., Wang*, L.: Disease prediction by machine learning over big data from healthcare communities
Dehkordi*, S.K., Sajedi*, H.: A prescription-based automatic medical diagnosis system using a stacking method. Department of Mathematics, Statistics and Computer Science, College of Science, University of Tehran, Tehran, Iran
Dar, K.H., Junior Research Fellow: Utilization of the services of the primary health centres in India—An empirical study. Department of Economics, Central University Jammu, India. C. Öğretmenoğlu Fiçici, O. Eroğul
LeoniSharmila1, S., Dharuman2, C., Venkatesan3, P.: Disease classification using machine learning algorithms—A comparative study. Ramapuram Campus, SRM University, Chennai, 600089, India
Gurbetal2, L., Badnjevic, A.: 61,2,3 I Yeslab Ltd. Sarajevo2: Machine learning techniques for classification of diabetes and cardiovascular disease. International Burch University, Sarajevo 3, Technical faculty Bihac, University of Bihac, Berina Ali6 Genetics and Bioengineering International Burch University Sarajevo, Bosnia and Herzegovina
Vitabile1(B), S., Marks2, M., Stojanovic3, D., Pllana4, S., Molina5, J.M.: Medical Data Processing and Analysis for Remote Health and Activities Monitoring
Penna, M., Gowda, D.V., Shivashankar, J.J.J.: Design and Implementation of Automatic Medicine Dispensing Machine. Department of ECE, Sri Venkateswara College of Engineering, Bengaluru
Kimbahune, S., Pande, A.: mHEALTH-PHC: a community informatic tool for primary healthcare in India. TCS Innovation Labs, Tata Consultancy Services Mumbai, India
Caban†‡, J.J., Rosebrock, A., Yoo‡†, J.S.: Automatic identification of prescription drugs using shape distribution models. National Intrepid Center of Excellence (NICoE), Naval Medical Center University of Maryland, UMBC ‡ National Institutes of Health, Bethesda, MD
Venkatesh, R., Balasubramanian, C., Kaliappan, M.: Development of big data predictive analytics model for disease prediction using machine learning technique
Ghumbre1, S.U., Ghatol2, A.A.: Heart Disease Diagnosis Using Machine Learning Algorithm 1. Computer Engineering Department, College of Engineering Pune, Pune, Maharashtra, India 2 Dr. B.A.T.University, Lonere, Maharashtra
Tank, V., Assistant Professor, Warrier, S., Jakhiya, N.: Medicine Dispensing Machine Using Raspberry Pi and Arduino Controller. Department of Electronics and Communication Engineering, CHARUSAT, Anand, India
Sharma, S., Parmar, M.: Heart Diseases Prediction Using Deep Learning Neural Network Model
Shabaz Ali, N., Divya, G.: Prediction of Diseases in Smart Health Care System using Machine Learning
Shirsath, S.S., Prof. Patil, S.: Disease Prediction Using Machine Learning Over Big Data. Department of Computer Engineering, SITS, Lonavala, India
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Bhosale, A.S., Jadhav, S.S., Ahire, H.S., Jaybhay, A.Y., Rajeswari, K. (2021). Study of Medicine Dispensing Machine and Health Monitoring Devices. In: Gunjan, V.K., Suganthan, P.N., Haase, J., Kumar, A. (eds) Cybernetics, Cognition and Machine Learning Applications. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-33-6691-6_33
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DOI: https://doi.org/10.1007/978-981-33-6691-6_33
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