Telemedicine Solution using Django
The average person usually don’t have much information about diseases related to symptoms they have and which doctor to visit for that disease. This causes a lot of wastage of time and money because they have to search doctor by doctor to get the right doctor and get an appointment with that doctor. Also not all doctors treat all diseases, this means just knowing your disease is not enough. Through this telemedicine solution we have tried to mitigate the inefficiency and delays in the system. Patients can get a basic idea of the possible disease they might have and a list of doctors suited to cure this disease is given as output to the patient. Then the patient can connect with doctors on a website.
Shafaq Malik, Nargis Bibi, Sehrish Khan, Razia Sultana, & Sadaf Abdul Rauf. (2017). Mr. Doc: A doctor appointment application system. Available at: https://arxiv.org/ftp/arxiv/papers/1701/1701.08786.pdf.
Practo Online Doctor Booking, Searching Platform. Available at: https://www.practo.com/doctors
Oana Frunza & Diana Inkpen. (2010). A machine learning approach for identifying disease-Treatment relations in short texts. Available at: https://ieeexplore.ieee.org/document/5560656.
Bharti E. Narkar & Sanjay S.Gharde. (2014). Best treatment identification for disease using machine learning approach in relation to short text. Available at: https://www.semanticscholar.org/paper/Best-Treatment-Identification-for-Disease-Using-in-Nerkar-Gharde/0dad5d8d3b6049ebf13cf9e00b234df299bfabf6.
Rahul Deo Sah & Dr. Jitendra Sheetalani. (2017). Review of medical disease symptoms research prediction using data mining technique. IOSR Journal of Computer Engineering, 19(3), 59-70.
Sathyabama Balasubramanian & Balaji Subramani. (2014). Symptoms based diseases prediction in medical system by using k-means algorithm. International Journal of Advances in Computer Science and Technology, 3(2), 123-128.
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