Outputs (3)

An analytical prediction of breast cancer using machine learning. (2021)
Presentation / Conference Contribution
CHILUKURI, N.V.S.G.S.S., BANO, S., THOLETI, G.S.R., KAMMA, S.P. and NIHARIKA, G.L. 2022. An analytical prediction of breast cancer using machine learning. In Kumar, A., Senatore, S. and Gunjan, V.K. (eds.) Proceedings of the 2nd International conference on data science, machine learning and applications (ICDSMLA 2020), 21-22 November 2020, Pune, India. Lecture notes in electrical engineering, 783. Singapore: Springer [online], pages 185-202. Available from: https://doi.org/10.1007/978-981-16-3690-5_17

Breast cancer is one of the most frequent cancers among women, affecting about 2 million people. There is 98% chance of 5-years survival rate if detected at early stage. The data about breast cancer used in this paper is the Wisconsin dataset, which... Read More about An analytical prediction of breast cancer using machine learning..

Prognostic of depression levels due to pandemic using LSTM. (2021)
Presentation / Conference Contribution
BANO, S., PRANTHI, Y.L., NIHARIKA, G.L. and SREYA, G.D.S. 2021. Prognostic of depression levels due to pandemic using LSTM. In Shakya, S., Balas, V.E., Haoxiang, W. and Baig, Z. (eds.) Proceedings of the 2020 International conference on sustainable expert systems (ICSES 2020), 28-29 September 2020, Kirtipur, Nepal. Lecture notes in networks and systems, 176. Singapore: Springer [online], pages 11-22. Available from: https://doi.org/10.1007/978-981-33-4355-9_2

Depression is a medical illness that affects the way you think and how you react. It is a serious medical issue that impacts the stability of the mind. Depression occurs at many stages and situations. With the help of classification, the stage of dep... Read More about Prognostic of depression levels due to pandemic using LSTM..

Food survey using exploratory data analysis. (2019)
Presentation / Conference Contribution
RAMYASRI, R., ISHASANJIDA, S., PARASA, D. and BANO, S. 2019. Food survey using exploratory data analysis. In Proceedings of the 2nd International conference on intelligent communication and computational techniques (ICCT 2019), 28-29 September 2019, Jaipur, India. Piscataway: IEEE [online], pages 258-264. Available from: https://doi.org/10.1109/ICCT46177.2019.8969016

A person's eating habits are the most important aspect of maintaining one's physical wellbeing, which in turn is key to enduring the stresses and emotional hurdles that are so commonplace in our modern lifestyles. Our research shows that, over the pa... Read More about Food survey using exploratory data analysis..