Gokul S. Krishnan
Orcid: 0000-0002-1344-4722
According to our database1,
Gokul S. Krishnan
authored at least 19 papers
between 2018 and 2024.
Collaborative distances:
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Bibliography
2024
InSaAF: Incorporating Safety through Accuracy and Fairness | Are LLMs ready for the Indian Legal Domain?
CoRR, 2024
2023
LineConGraphs: Line Conversation Graphs for Effective Emotion Recognition using Graph Neural Networks.
CoRR, 2023
2022
Proceedings of the CODS-COMAD 2022: 5th Joint International Conference on Data Science & Management of Data (9th ACM IKDD CODS and 27th COMAD), Bangalore, India, January 8, 2022
2021
IEEE Trans. Emerg. Top. Comput., 2021
Multi-channel, convolutional attention based neural model for automated diagnostic coding of unstructured patient discharge summaries.
Future Gener. Comput. Syst., 2021
Predicting Vaccine Hesitancy and Vaccine Sentiment Using Topic Modeling and Evolutionary Optimization.
Proceedings of the Natural Language Processing and Information Systems, 2021
Integrating Structured and Unstructured Patient Data for ICD9 Disease Code Group Prediction.
Proceedings of the CODS-COMAD 2021: 8th ACM IKDD CODS and 26th COMAD, 2021
Diagnostic Code Group Prediction by Integrating Structured and Unstructured Clinical Data.
Proceedings of the Big Data Analytics - 9th International Conference, 2021
2020
Predicting ICD-9 code groups with fuzzy similarity based supervised multi-label classification of unstructured clinical nursing notes.
Knowl. Based Syst., 2020
Hybrid Text Feature Modeling for Disease Group Prediction Using Unstructured Physician Notes.
Proceedings of the Computational Science - ICCS 2020, 2020
Analysis and Prediction of Fantasy Cricket Contest Winners Using Machine Learning Techniques.
Proceedings of the Evolution in Computational Intelligence, 2020
Deep Neural Learning for Automated Diagnostic Code Group Prediction Using Unstructured Nursing Notes.
Proceedings of the CoDS-COMAD 2020: 7th ACM IKDD CoDS and 25th COMAD, 2020
2019
Ontology-driven Text Feature Modeling for Disease Prediction using Unstructured Radiological Notes.
Computación y Sistemas, 2019
A novel GA-ELM model for patient-specific mortality prediction over large-scale lab event data.
Appl. Soft Comput., 2019
Proceedings of the Natural Language Processing and Information Systems, 2019
Evaluating the quality of word representation models for unstructured clinical Text based ICU mortality prediction.
Proceedings of the 20th International Conference on Distributed Computing and Networking, 2019
Coherence-based Modeling of Clinical Concepts Inferred from Heterogeneous Clinical Notes for ICU Patient Risk Stratification.
Proceedings of the 23rd Conference on Computational Natural Language Learning, 2019
2018
A Supervised Learning Approach for ICU Mortality Prediction Based on Unstructured Electrocardiogram Text Reports.
Proceedings of the Natural Language Processing and Information Systems, 2018