Artificial intelligence in the health sector: Obstacles
Abstract
The healthcare industry faces a number of issues, including changing demographics, a lack of trained workers, and rising cost pressure. Another problem is coping with the ongoing COVID-19 epidemic. The fact that digitization in the healthcare industry is advancing more and more is a result of all these obstacles. Healthcare organisations would approach their limitations without the use of cutting-edge technology. The application of AI in this setting is becoming more crucial. Wide-ranging potentials include applications in therapy and diagnostics as well as the creation of medications.
References
Reddy, Yeruva Ramana, Modelling Soil Behaviour in Uniaxial Strain Conditions by Neural Networks (May 5, 2018). International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 5, page no.1460-1463, May 2018, Available at SSRN: https://ssrn.com/abstract=4211918
Whig, P. (2019a). A Novel Multi-Center and Threshold Ternary Pattern. International Journal of Machine Learning for Sustainable Development, 1(2), 1–10.
Whig, P. (2019d). Exploration of Viral Diseases mortality risk using machine learning. International Journal of Machine Learning for Sustainable Development, 1(1), 11–20.
Reddy, Yeruva Ramana, Artificial Intelligence in Geotechnical Engineering: Applications, Modeling Aspects, and Future Predictions (June 1, 2014). International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.1, Issue 1, page no.880-883, June-2014, Available at SSRN: https://ssrn.com/abstract=4211911
Reddy, Yeruva Ramana, A Critical Review of Artificial Intelligence Applications In Tbm, Natm & Nmt Tunnels (October 4, 2014). IJRAR - International Journal of Research and Analytical Reviews (IJRAR), E-ISSN 2348-1269, P- ISSN 2349-5138, Volume.1, Issue 4, Page No pp.937-940, October 2014, Available at SSRN: https://ssrn.com/abstract=4211898
Singu, S., & Tunguturi, M. (2014). More on Neural community and fuzzy device. International Journal of Statistical Computation and Simulation, 6(1), 1–10. Retrieved from https://journals.threws.com/index.php/IJSCS/article/view/50
Reddy, Yeruva Ramana, Prediction Of Maximum Surface Settlement Caused By Earth Pressure Balance (EPB) Shield Tunneling With ANN Methods (November 4, 2014). IJRAR - International Journal of Research and Analytical Reviews (IJRAR), E-ISSN 2348-1269, P- ISSN 2349-5138, Volume.1, Issue 4, Page No pp.668-671, November 2014, Available at SSRN: https://ssrn.com/abstract=4211892
Tunguturi, M., & Singu, S. (2014). Latest machine learning applications across the globe. Transaction on Recent Devlopment in Industrial IoT, 6(6). Retrieved from https://journals.threws.com/index.php/TRDAIoT/article/view/63
Reddy, Yeruva Ramana, Modeling Load-Settlement Behavior of Driven Piles Embedded In Cohesive Soils Using Artificial Neural Networks (May 2, 2014). IJRAR - International Journal of Research and Analytical Reviews (IJRAR), E-ISSN 2348-1269, P- ISSN 2349-5138, Volume.1, Issue 2, Page No pp.941-944, May 2014, Available at SSRN: https://ssrn.com/abstract=4211901
Singu, S., & Tunguturi, M. (2015). Fundamentals and awareness of robotics. Transactions on Latest Trends in Health Sector, 7(7). Retrieved from https://www.ijsdcs.com/index.php/TLHS/article/view/191
Reddy, Yeruva Ramana, An Empirical Study on The Methods And Instruments For Automated Geotechnical Monitoring (July 3, 2016). International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.4, Issue 3, pp.542-546, July 2016., Available at SSRN: https://ssrn.com/abstract=4211450
Tunguturi, M. (2017). Extremely Low strength design for Water Purification. Transactions on Latest Trends in Health Sector, 9(9). Retrieved from https://www.ijsdcs.com/index.php/TLHS/article/view/190
Reddy, Yeruva Ramana, An Empirical Study On The Benefits of Civil Systems Connectivity and Automation – A Discussion In The Context of Metro Transport (August 3, 2018). IJRAR - International Journal of Research and Analytical Reviews (IJRAR), E-ISSN 2348-1269, P- ISSN 2349-5138, Volume.5, Issue 3, Page No pp.9, August 2018, Available at SSRN: https://ssrn.com/abstract=4211896
Tunguturi, M., & Singu, S. (2016). Automation of human behaviors and its prediction . International Journal of Statistical Computation and Simulation, 8(1). Retrieved from https://journals.threws.com/index.php/IJSCS/article/view/53
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, Applications of Artificial Intelligence and Machine Learning in Geotechnical Engineering (February 2, 2017). International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.4, Issue 2, page no. pp425-428, February-2017, Available at SSRN: https://ssrn.com/abstract=4211917
Singu, S., & Tunguturi, M. (2016). Smart agriculture utility the use of fog-iot. Transaction on Recent Devlopment in Artificial Intellgence and Machine Learning, 8(8). Retrieved from https://journals.threws.com/index.php/TRDAIML/article/view/67
Reddy, Yeruva Ramana, Automation of The Digital Information Workflow In The Geotechnical Design Process (October 4, 2017). IJRAR - International Journal of Research and Analytical Reviews (IJRAR), E-ISSN 2348-1269, P- ISSN 2349-5138, Volume.4, Issue 4, Page No pp.664-667, October 2017, Available at SSRN: https://ssrn.com/abstract=4211889
Tunguturi, M., & Singu, S. (2015). Latest machine learning applications across the globe. Transaction on Recent Devlopment in Industrial IoT, 7(7). Retrieved from https://journals.threws.com/index.php/TRDAIoT/article/view/64
Reddy, Yeruva Ramana, An Empirical Study on The Effect Of Spatial Variability of Block-Type Cement-Treated Ground on The Bearing Capacity Of Foundation Under Inclined Load (January 1, 2011). International Journal of Current Science (IJCSPUB), ISSN:2250-1770, Volume.1, Issue 1, pp.8-11, January 2011, Available at SSRN: https://ssrn.com/abstract=4211478
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
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
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
Singu, S. (2019). Trends of Text Mining Techniques used in Social Media Websites. International Journal of Managment Education for Sustainable Development, 2(2), 51-60. Retrieved from https://www.ijsdcs.com/index.php/IJMESD/article/view/172
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