India's Health Sector Crisis
Abstract
The COVID-19 epidemic is causing troubles for everyone in the world, which is unforeseen for each nation. Humans are causing environmental damage, thus they should be prepared for similar pandemics in the future as well. To combat pandemics like COVID-19 in the future, they should invest more in the health sector if they are abusing the environment. However, the situation in India is quite concerning since we spend just 1.15% of our GDP on the health sector. Even in the contemporary day, one cannot anticipate a medical scenario like this in a hamlet or isolated place. It divides India into two halves, 'India' for the urban region and 'Bharat' for the rural area. Instead of seeing health in a binary fashion,
References
Singu, S. (2020). A structural approach to tracking the spread of the SARS-CoV-2 pandemic in educational settings. Transactions on Latest Trends in IoT, 3(3), 23-32. Retrieved from https://www.ijsdcs.com/index.php/TLIoT/article/view/134
Gupta, K., Jiwani, N., & Whig, P. (2023). An Efficient Way of Identifying Alzheimer’s Disease Using Deep Learning Techniques. In Proceedings of Third Doctoral Symposium on Computational Intelligence (pp. 455-465). Springer, Singapore.
Singu, S. (2020). Socially distant smart gadget for COVID-19. Transactions on Latest Trends in Health Sector, 12(12). Retrieved from https://www.ijsdcs.com/index.php/TLHS/article/view/194
Singu, S., & Tunguturi, M. (2017). Protect Personal Privacy And Wasting Time Using AI and ML. Transaction on Recent Devlopment in Artificial Intellgence and Machine Learning, 9(9). Retrieved from https://journals.threws.com/index.php/TRDAIML/article/view/72
Singu, S. (2019). A new method on provider Description support Customization . Transaction on Recent Devlopment in Artificial Intellgence and Machine Learning, 11(11). Retrieved from https://journals.threws.com/index.php/TRDAIML/article/view/68
Singu, S. (2020). Machine Learning Techniques in Sentimental Analysis. Transactions on Latest Trends in Artificial Intelligence, 1(1). Retrieved from https://www.ijsdcs.com/index.php/TLAI/article/view/176
Singu, S. (2020). Importance of Artificial Intelligence in aggressive with COVID-19 Epidemic. Transactions on Latest Trends in Artificial Intelligence, 1(1). Retrieved from https://www.ijsdcs.com/index.php/TLAI/article/view/175
Singu, S. (2021). Reliability of Mobile Wireless Sensor Networks. International Journal of Sustainable Development in Computing Science, 3(4), 31-40. Retrieved from https://www.ijsdcs.com/index.php/ijsdcs/article/view/177
Jiwani, N., Gupta, K., & Whig, P. (2023). Analysis of the Potential Impact of Omicron Crises Using NLTK (Natural Language Toolkit). In Proceedings of Third Doctoral Symposium on Computational Intelligence (pp. 445-454). Springer, Singapore.
Reddy, Yeruva Ramana, Automatic Damage Detection Using Machine Learning And Deep Learning (November 4, 2018). International Journal of Research and Analytical Reviews (IJRAR), E-ISSN 2348-1269, P- ISSN 2349-5138, Volume.5, Issue 4, Page No pp.660-663, November 2018, Available at SSRN: https://ssrn.com/abstract=4211885
Reddy, Yeruva Ramana, An Empirical Study on The Best Prediction Model of Water Inflow Into Drill and Blast Tunnels Among Several Machine Learning Techniques (February 2, 2019). International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN-2349-5162, Vol.6, Issue 2, page no.888-891, February 2019, Available at SSRN: https://ssrn.com/abstract=4211902
Reddy, Yeruva Ramana, Automation and Artificial Intelligence in Construction and Management of Civil Infrastructure (May 5, 2019). International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.429-432, May 2019, Available at SSRN: https://ssrn.com/abstract=4211907
Reddy, Yeruva Ramana, A Machine Learning Framework For Predicting Displacements Due To Deep Excavations And Tunnels (October 4, 2019). International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.7, Issue 4, pp.366-369, October 2019, Available at SSRN: https://ssrn.com/abstract=4211434
Reddy, Yeruva Ramana, Forecasting Displacement of Underground Caverns Using Machine Learning Techniques (December 12, 2020). International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.8, Issue 12, pp.3438-3441, December 2020, Available at SSRN: https://ssrn.com/abstract=4211457
Gupta, K., Jiwani, N., & Whig, P. (2023). Effectiveness of Machine Learning in Detecting Early-Stage Leukemia. In International Conference on Innovative Computing and Communications (pp. 461-472). Springer, Singapore.