Abstract
Indian Health Network (IHN) is a social network along with a user repository that aims to provide a medium among users that brings together patients with similar health conditions. IHN helps to establish a patient-to-patient network so that they can suggest and share their experiences. IHN also facilitates the patient to store their previous health records which can be accessed any time without a necessity to carry the hard copy every time. PHR makes it handy for the user and can also restore the lost copies. Indian Health Network is specially designed for Indian users as their data will not be exploited instead, they will be named anonymously. The IHN also contains a Self-tracking System which helps the user to track his health status based on his previous health records. Natural language processing is used to extract the data from the images uploaded by the user which makes it easier for them to give the required inputs for the recommendation task. IHN also constitutes a recommender system that recommends the users with similar profiles and this helps to consult a doctor and to get better treatment by sharing their experiences. A suitable algorithm is used to measure the similarity among the users to obtain sustainable results. Cosine similarity is used to calculate the similarity score. A network is established among patients alike to provide a medium for communication. We ensure to maintain the privacy of the users and their data will never be disclosed until permitted. The PHR is implemented using the Django framework with SQLite as the backend database. The Self-tracking system is achieved by visualizing the user’s data in the form of graphical representation. Line finding algorithms are used for the NLP extraction process. Content-based filtering algorithms are used to achieve the patient-to-patient recommendation system.
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Rahul, N.V.N.D.S., Geethika, S.N.I.S., Aishwarya, S.C., Revanth, V., Fathimabi, S. (2022). Indian Health Network—A Patient Recommender System for the Indian Community with Health Records. In: Bhateja, V., Khin Wee, L., Lin, J.CW., Satapathy, S.C., Rajesh, T.M. (eds) Data Engineering and Intelligent Computing. Lecture Notes in Networks and Systems, vol 446. Springer, Singapore. https://doi.org/10.1007/978-981-19-1559-8_32
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