| Feasible analysis of gene expression–a computational based classification for breast cancer V Nandagopal, S Geeitha, KV Kumar, J Anbarasi Measurement 140, 120-125, 2019 | 27 | 2019 |
| Incorporating Artificial Fish Swarm in Ensemble Classification Framework for Recurrence Prediction of Cervical Cancer MAM S. Geeitha , Jothilakshmi Ramakrishnan,Jaroslav Frnda, Manikandan ... Special section on AI and IoT Convergence for smart health 9, 83876 - 83886, 2021 | 23* | 2021 |
| Incorporating EBO-HSIC with SVM for gene selection associated with cervical cancer classification S Geeitha, M Thangamani Journal of medical systems 42 (11), 225, 2018 | 22 | 2018 |
| Integrating bio medical sensors in detecting hidden signatures of COVID-19 with Artificial intelligence V Hemamalini, L Anand, S Nachiyappan, S Geeitha, VR Motupalli, ... Measurement 194, 111054, 2022 | 17 | 2022 |
| A Cognizant Study of Machine Learning in Predicting Cervical Cancer at various Levels-A Data Mining concept MT S. Geeitha International Journal of Emerging Technologies 11 (1), 23-28, 2020 | 8 | 2020 |
| Integrating HSICBFO and FWSMOTE algorithm-prediction through risk factors in cervical cancer S Geeitha, M Thangamani Journal of Ambient Intelligence and Humanized Computing 12, 3213-3225, 2021 | 5 | 2021 |
| Qualitative Analysis for Improving Prediction Accuracy in Parkinson's Disease Detection Using Hybrid Technique S Geeitha, M Thangamani Journal of Computational and Theoretical Nanoscience 16 (2), 393-399, 2019 | 3 | 2019 |
| Integrating lncRNA gene signature and risk score topredict recurrence cervical cancer using recurrent neural network E Srividhya, VR Niveditha, C Nalini, K Sinduja, S Geeitha, ... Measurement: Sensors 27, 100782, 2023 | 1 | 2023 |
| A Hybrid Model for Mining and Classification of Gene Expression Pattern for Detecting Neurodegenerative Disorder S Geeitha, M Thangamani Progress in Advanced Computing and Intelligent Engineering: Proceedings of …, 2019 | 1 | 2019 |
| Progression of Disease Forecasting in Recurrence Cervical Cancer Using Logistic Regression S Geeitha, P Renuka, S Ramya, K Sinduja 2023 7th International Conference on Electronics, Communication and …, 2023 | | 2023 |
| Enhanced Artificial Neural Network for Spoof News Detection with MLP Approach S Geeitha, R Aakash, G Akash, AM Arvind, S Thameem Ansari, ... International Conference on Advanced Communications and Machine Intelligence …, 2022 | | 2022 |
| Artificial Neural Network Approach in Detecting and Predicting Epileptic Seizure S Geeitha, S Divyabharathy, P Elakkiya, B Roshini, M Sankavi 2022 International Conference on Applied Artificial Intelligence and …, 2022 | | 2022 |
| Applied Artificial Intelligence and Computing (ICAAIC 2022) 9-11, May 2022 TC Pahadi, A Verma, R Ranjan, NL Arts, R Yu, AS Genale, BB Sundaram, ... Machine Learning 6, 3, 2022 | | 2022 |
| A Hybrid Model for Mining and Classification of Gene Expression Pattern for Detecting Neurodegenerative S Geeitha, M Thangamani Progress in Advanced Computing and Intelligent Engineering: Proceedings of …, 2018 | | 2018 |
| Securing Patient Health information in cloud environment DMT Geeitha.S Internation Scientific Journal in Contemporary Engineering Science And …, 2016 | | 2016 |
| A Review on data mining tools in mining gene expression-Big data analytics S Geeitha, M Thangamani | | |
| MiRNA analysis in gene expression–Big data Analytics S Geeitha, M Thangamani | | |
| MicroRNA EXPRESSION ANALYSIS WITH DATA MINING CONCEPTS M Geeitha.S, Thangamani | | |
