ITM Web Conf.
Volume 40, 2021International Conference on Automation, Computing and Communication 2021 (ICACC-2021)
|Number of page(s)||5|
|Published online||09 August 2021|
HealthDesk-A One Stop Health Application Using Machine Learning Techniques
Computer Engineering, Dwarkadas J. Sanghvi College of Engineering
Associate Professor, Computer Engineering, Dwarkadas J. Sanghvi College of Engineering
HealthDesk is a mobile solution for all health-related queries. The application is for all the users of the healthcare system. It covers all the major domains in the hierarchy. People have now started digitizing in this domain too. People have shown great trust in this. This helps us to provide the best. Despite this, individuals often face problems ordering their medicines online. There are high chances of people taking medications without a prescription. So, this application recommends top medicines that are similar to the one being ordered to avoid drug-drug interactions. In the scenario of patient emergency many applications for patient health monitoring and appointment scheduling have been developed. However, in the wake of an emergency, people tend to blank out or are unaware of nearby emergency services. So, the application has a feature that enables users to search the most nearby doctor and provide the doctor with the user's current location. The user can be provided with first aid immediately so that he doesn't succumb to death. The healthcare system has frequent updates. The doctors must remain at par with the updates. However, doctors find it strenuous to sit by and search. The app provides them with relevant news according to their preferences. Concluding, this app covers the most important stakeholders of the healthcare system.
Key words: NLP / DNR / Natural language tool kit / Support vector machine / Machine Learning / SMILES / RDKit
© The Authors, published by EDP Sciences, 2021
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