Journals

  1. Narayan, KM Venkat, Jithin Sam Varghese, Yara S. Beyh, Soura Bhattacharyya, Shweta Khandelwal, Gokul S. Krishnan, Karen R. Siegel, Tinku Thomas, and Anura V. Kurpad. "A Strategic Research Framework for Defeating Diabetes in India: A 21st-Century Agenda", Journal of the Indian Institute of Science (2023): 1-22. (SCI-E, Scopus)

  2. Mayya, V., Kamath, S., Krishnan, G. S., & Gangavarapu, T, "Multi-channel, convolutional attention based neural model for automated diagnostic coding of unstructured patient discharge summaries", Future Generation Computer Systems, 118, 374-391, 2021. (SCI-E, Scopus, IF: 6.125)

  3. Tushaar Gangavarapu, Gokul S Krishnan, Sowmya Kamath S, "FarSight: Long-Term Disease Prediction Using Unstructured Clinical Nursing Notes", IEEE Transactions on Emerging Topics in Computing, 2020. (SCI-E, Scopus, IF: 6.043)

  4. Gokul S. Krishnan, Sowmya Kamath S., "A novel GA-ELM model for patient-specific mortality prediction over large-scale lab event data", Applied Soft Computing, Volume 80, 2019, Pages 525-533, ISSN 1568-4946, https://doi.org/10.1016/j.asoc.2019.04.019. (SCI-E & Scopus, IF: 5.472).

  5. Gokul S. Krishnan, Sowmya Kamath S., "Ontology-driven Text Feature Modeling for Disease Prediction using Unstructured Radiological Notes", Computación y Sistemas, ISSN 2007-9737, Vol. 23, No. 3, 2019, pp. 915–922. (ESCI and Scopus).

  6. Tushaar Gangavarapu, Aditya Jayasimha, Gokul S Krishnan, Sowmya Kamath S, "Predicting ICD-9 Code Groups with Fuzzy Similarity based Supervised Multi-Label Classification of Unstructured Clinical Nursing Notes", Knowledge-Based Systems, Elsevier. (SCI, Scopus, IF: 5.921)

Conferences

  1. Nandita, Sruthikeerthi, Goutham Zampani, Gokul S Krishnan, Gitakrishnan Ramadurai, and Balaraman Ravindran. "Automated Incident Location Identification for EMS from Ambulance Geospatial Data", In 5th Joint International Conference on Data Science & Management of Data (9th ACM IKDD CODS and 27th COMAD), pp. 162-168. 2022.

  2. Krishnan, Gokul S., S. Sowmya Kamath, and Vijayan Sugumaran. "Predicting vaccine hesitancy and vaccine sentiment using topic modeling and evolutionary optimization", In Natural Language Processing and Information Systems: 26th International Conference on Applications of Natural Language to Information Systems, NLDB 2021, Saarbrücken, Germany, June 23–25, 2021, Proceedings, pp. 255-263. Cham: Springer International Publishing, 2021.

  3. Karthik, K., Krishnan, G. S., Shetty, S., Bankapur, S. S., Kolkar, R. P., Ashwin, T. S., & Vanahalli, M. K. "Analysis and Prediction of Fantasy Cricket Contest Winners Using Machine Learning Techniques", 8th FICTA, In Evolution in Computational Intelligence (pp. 443-453). Springer, Singapore, 2020.

  4. Gokul S Krishnan and Sowmya Kamath S, "Hybrid Text Feature Modeling for Disease Group Prediction using Unstructured Physicians' Notes", 20th International Conference on Computational Science (ICCS 2020), Amsterdam, The Netherlands, June 2020. (CORE A Ranked)

  5. Aditya Jayasimha, Tushaar Gangavarapu, S Sowmya Kamath, Gokul S Krishnan. "Deep Neural Learning for Automated Diagnostic Code Group Prediction Using Unstructured Nursing Notes", Proceedings of the 7th ACM IKDD CoDS and 25th COMAD, Hyderabad, India, January 2020. (CORE B Ranked)

  6. Gangavarapu, Tushaar, Gokul S. Krishnan, and Sowmya Kamath S. "Coherence-Based Modeling of Clinical Concepts Inferred from Heterogeneous Clinical Notes for ICU Patient Risk Stratification." In Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL) (pp. 1012-1022), Hong Kong, China, November 2019. (CORE A Ranked)

  7. Gangavarapu, Tushaar, Aditya Jayasimha, Gokul S. Krishnan, and Sowmya Kamath. "TAGS: Towards Automated Classification of Unstructured Clinical Nursing Notes." In the proceedings of 24th International Conference on Applications of Natural Language to Information Systems, pp. 195-207. Springer, Cham, UK, 2019. (CORE C Ranked)

  8. Gokul S. Krishnan and Sowmya Kamath S. 2019. "Evaluating the Quality of Word Representation Models for Unstructured Clinical Text based ICU Mortality Prediction". In International Conference on Distributed Computing and Networking (ICDCN '19), January 4–7, 2019, Bangalore, India. ACM, New York, NY, USA, 6 pages. (CORE B Ranked)

  9. Krishnan, Gokul S., and S. Sowmya Kamath., "A Supervised Approach for Patient-specific ICU Mortality Prediction using Feature Modeling", 7th International Conference on Frontier Computing (FC 2018), Kuala Lumpur, Malaysia, Springer Singapore, July 2018.

  10. Krishnan, Gokul. S., & Kamath, Sowmya. S. "A Supervised Learning Approach for ICU Mortality Prediction Based on Unstructured Electrocardiogram Text Reports", In the proceedings of the 23rd International Conference on Applications of Natural Language to Information Systems (pp. 126-134). Springer, Paris, France, June 2018, 10.1007/978-3-319-91947-8_13. (CORE C Ranked)

  11. Gokul S Krishnan and Sowmya Kamath S, "Dynamic and Temporal User Profiling for Personalized Recommenders Using Heterogeneous Data Sources", 8th International Conference on Computation, Communication and Networking (ICCCNT), IIT Delhi, IEEE, July 2017.

  12. Adukkathayar, Anirudhan, Gokul S. Krishnan, and Rajashree Chinchole. "Secure multifactor authentication payment system using NFC." Computer Science & Education (ICCSE), 2015 10th International Conference on. IEEE, Cambridge, UK, July 2015.

  13. Adukkathayar, C. Anirudhan, Gokul S. Krishnan, and G. Sasikumar. "Advanced integrity checking and recovery using write-protected storage for enhancing operating system security." Computer Science & Education (ICCSE), 2015 10th International Conference on. IEEE, Cambridge, UK, July 2015.