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HEALTHCARE ANALYTICS AND LANGUAGE ENGINEERING (HALE) LAB

AI & NLP Research @ Department of Information Technology
National Institute of Technology Karnataka, Surathkal
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Journal Papers (SCI/SCIE/Web of Science/Scopus Indexed)

  1. Tushaar Gangavarapu, Gokul S Krishnan, Sowmya Kamath S and Jayakumar Jeganathan, "FarSight: Long-Term Disease Prediction Using Unstructured Clinical Nursing Notes", IEEE Transactions on Emerging Topics in Computing, Special issue on New Frontiers in Computing for Next-Generation Healthcare Systems, ISSN: 2168-6750, 2020 [SCI, IF: 6.043] (online)

  2. 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, ISSN: 1532-0464, 2019 [SCI, IF: 5.921] (online)

  3. 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, Vol 80, pp 525-533, ISSN: 1568-4946, 2019, DOI: 10.1016/j.asoc.2019.04.019 [SCI, IF: 5.472] (online)

  4. Gokul S Krishnan and Sowmya Kamath S, "Ontology-driven Text Feature Modeling for Disease Prediction using Unstructured Radiological Notes", Computación y Sistemas (CyS), ISSN 2007-9737, print ISSN 1405-5546, DOI: 10.13053/CyS-23-3-3238 [ESCI & Scopus, IF: 0.620] (online)

  5. Karthik K and Sowmya Kamath S, "A Deep Neural Network Model for Content-Based Medical Image Retrieval with Multi-View Classification", The Visual Computer - International Journal of Computer Graphics - Springer, ISSN:1432-2315 [SCIE, IF: 1.415] (In press)

  6. Karthik K and Sowmya Kamath S, "Swarm Optimization Based Bag of Visual Words Model for Content-Based X-Ray Scan Retrieval", International Journal of Biomedical Engineering and Technology (IJBET), Inderscience., ISSN:1752-6426, 2020 (ESCI & Scopus, IF: 0.57, CiteScore: 1.0) (In press)

  7. Aditya Jayasimha, Rahul M, Pavan P, Sowmya Kamath S, "Nature-inspired Query Optimization Models for Medical Information Retrieval with Relevance Feedback", International Journal of Advanced Intelligence Paradigms, Inderscience Publishers, ISSN 1755-0394 (Scopus, CiteScore: 0.8) (In press)

  8. Veena Mayya; Sowmya Kamath S; Uma Kulkarni; Divyalakshmi Kaiyoor Surya; U Rajendra Acharya, “An empirical study of preprocessing techniques with convolutional neural networks for accurate detection of chronic ocular diseases using fundus images” , Springer Applied Intelligence, ISSN: 1573-7497 , (SCI, IF 5.086)

  9. Sujan Reddy, Akashdeep S, Harshvardhan A, Sowmya Kamath S, “Stacking Deep learning and Machine Learning models for Short-term Energy Consumption Forecasting”, Advanced Engineering Informatics. Elsevier, 2022, ISSN: 0167-947, IF 5.603 (SCIE, Scopus)

  10. Mayya, Veena, Sowmya Kamath Shevgoor, Uma Kulkarni, Manali Hazarika, Prabal Datta Barua, and U. Rajendra Acharya. "Multi-Scale Convolutional Neural Network for Accurate Corneal Segmentation in Early Detection of Fungal Keratitis." Journal of Fungi 7, no. 10 (2021): 850, [DOI:10.3390/jof7100850 [SCI, IF: 5.816]

  11. Veena Mayya, Gokul S Krishnan, Sowmya Kamath S and Tushaar Gangavarapu, “Multi-channel, Convolutional Attention based Neural Model for Automated Diagnostic Coding of Unstructured Patient Discharge Summaries”, Future Generation Computer Systems, Elsevier, 2021 [Impact Factor: 7.187] [10.1016/j.future.2021.01.013]

  12. Tushaar Gangavarapu, Gokul S Krishnan and Sowmya Kamath S, “FarSight: Long-Term Disease Prediction Using Unstructured Clinical Nursing Notes" , IEEE Transactions on Emerging Topics in Computing, ISSN: 2168-6750, 2020 (10.1109/TETC.2020.2975251) [SCI, IF: 7.691]

  13. Tushaar Gangavarapu, Aditya Jayasimha, Gokul S Krishnan and 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, Volume 190, ISSN: 1532-0464, 2020 (10.1016/j.knosys.2019.105321) [SCI, IF: 8.038]

  14. Gokul S Krishnan and Sowmya Kamath S, “A Novel GA-ELM Model for Patient-specific Mortality Prediction over Large-scale Lab Event Data”, Applied Soft Computing, Elsevier, Volume 80, July 2019, Pages 525-533, ISSN: 1568-4946, 2019 (10.1016/j.asoc.2019.04.019) [SCI, IF: 6.725]

  15. Veena Mayya, Karthik K, Krishnananda Karadka, Sowmya Kamath S, “Multi-task Deep Neural Network Models for Learning COVID-19 Disease Representations from Multimodal Data”, Int. J. of Medical Engineering and Informatics, Vol 14, 2021, ISSN: 1755-0661

  16. Shubham Agrawal, Aastha Chowdhary, Saurabh Agarwala, Veena Mayya, Sowmya Kamath S, “Deep Convolutional Neural Models for Content-based Medical Image Retrieval for Lung Diseases” , Journal of Information Technology, Springer

  17. Subhadeep Sengupta; Veena Mayya; Sowmya Kamath S., “Detection of Bradycardia from Electrocardiogram Signals using Feature Extraction and Snapshot Ensembling” , Journal of Information Technology, Springer

  18. Veena Mayya, Sowmya Kamath S, Uma Kulkarni, “Automated Microaneurysms Detection for Early Diagnosis of Diabetic Retinopathy: A Comprehensive Review" , Computer Methods and Programs in Biomedicine Update, Elsevier, ISSN: 0169-2607 (10.1016/j.cmpbup.2021.100013)

  19. Karthik, K., Kamath, S.S. "A deep neural network model for content-based medical image retrieval with multi-view classification. Visual Computer 37, 1837–1850, ISSN:1432-2315, 2020 [SCIE, IF: 2.601] [10.1007/s00371-020-01941-2]

  20. Gokul S Krishnan and Sowmya Kamath S, “Ontology-driven Text Feature Modeling for Disease Prediction using Unstructured Radiological Notes” , Computación y Sistemas (CyS), Vol 23, No 3 (2019), pp 915-922, ISSN 2007-9737, [DOI: 10.13053/CyS-23-3-3238] [Scopus]

  21. Aditya Jayasimha, Rahul M, Sowmya Kamath S, “Nature-inspired Query Optimization Models for Medical Information Retrieval with Relevance Feedback“, International Journal of Advanced Intelligence Paradigms, Inderscience Publishers, 2022, ISSN 1755-0394 (Scopus)

  22. Medhini Narasimhan and Sowmya Kamath S, "Dynamic Video Anomaly Detection and Localization using Sparse Autoencoders" , Multimedia Tools and Applications, Springer Publishers, Volume 77, pg 1-23, ISSN: 1380-7501, 2018 (10.1007/s11042-017-4940-2) [SCI, IF 2.757]

  23. Sowmya Kamath S and Ananthanarayana V.S, "Discovering composable web services using functional semantics and service dependencies based on natural language requests" , Journal on Information System Frontiers, Springer Hiedelberg, ISSN: 1387-3326, Volume 19, pg 1-15, 2019. (DOI: 10.1007/s10796-017-9738-2) [SCI, IF 6.191]

  24. Kamath, S. Sowmya, and V. S. Ananthanarayana. "Semantics-based Web service classification using morphological analysis and ensemble learning techniques." International Journal of Data Science and Analytics,2, no. 1-2 (2016): 61-74, ISSN 2364-4168 (DOI: 10.1007/s41060-016-0026-x) (Scopus)

  25. Sunaina and Sowmya S. Kamath. "Enhancing Service Discovery using Cat Swarm Optimization based Web Service Clustering." In Perspectives in Science, Elsevier, Volume 8 (2016), page 715-717, ISSN: 2213-0209. (DOI: 10.1007/978-981-10-3376-6_43) (Scopus and WoS)

Book Chapters published

  1. Tushaar Gangavarapu, Aditya Jayasimha, Gokul S Krishnan and Sowmya Kamath S (2019), TAGS: Towards Automated Classification of Unstructured Clinical Nursing Notes. In: Métais E., Meziane F., Vadera, S. (eds) Natural Language Processing and Information Systems. NLDB 2019. Lecture Notes in Computer Science, Springer, Cham [online]

  2. Krishnan G.S., Sowmya Kamath S (2019), A Supervised Approach for Patient-specific ICU Mortality Prediction using Feature Modeling. In: Hung J., Yen N., Hui L. (eds) Frontier Computing. FC 2018. Lecture Notes in Electrical Engineering, vol 542. Springer, Singapore (DOI: 10.1007/978-981-13-3648-5_32) [online]

  3. Krishnan G.S., Sowmya Kamath S (2018), A Supervised Learning Approach for ICU Mortality Prediction Based on Unstructured Electrocardiogram Text Reports. In: Silberztein M., Atigui F., Kornyshova E., Métais E., Meziane F. (eds) Natural Language Processing and Information Systems. NLDB 2018. Lecture Notes in Computer Science, vol 10859. Springer, Cham (DOI: 10.1007/978-3-319-91947-8_13) [online]

  4. Siddhanth Pillay and Sowmya Kamath S (2018), Predicting Medical Procedures from Diagnostic Sequences using Neural Machine Translation. In Smart Computational Intelligence in Biomedical and Health Informatics, CRC Press, Taylor & Francis Group, 2021, ISBN 9780367624125

  5. Karthik K and Sowmya Kamath S (2018), Automated View Orientation Classification for X-ray images using Deep Neural NetworksIn Smart Computational Intelligence in Biomedical and Health Informatics, CRC Press, Taylor & Francis Group, 2021, ISBN 9780367624125.

  6. Kedia, Ashish, Ajith Pandel, Adarsh Mohata and Sowmya Kamath S (2018), An Intelligent Algorithm for Automatic Candidate Selection for Web Service CompositionIn Progress in Intelligent Computing Techniques: Theory, Practice, and Applications, pp. 373-382. Springer, Singapore, 2018.

  7. Kotekar, Sunaina, and Sowmya Kamath S (2018), Enhancing Web Service Discovery Using Meta-heuristic CSO and PCA Based Clustering.In Progress in Intelligent Computing Techniques: Theory, Practice, and Applications, pp. 393-403. Springer, Singapore, 2018.

  8. Shaha, Mandar, and Sowmya Kamath S (2018), A Quality-Centric Scheme for Web Service Ranking Using Fuzzified QoS Parameters In Progress in Intelligent Computing Techniques: Theory, Practice, and Applications. Springer, Singapore, 2018. 383-392..

  9. Anusha P, Meghana A, Swathi R, Sahana C, and Sowmya Kamath S (2018), iKan—A Kannada Transliteration Tool for Assisted Linguistic Learning In: Shetty N., Patnaik L., Prasad N., Nalini N. (eds) Emerging Research in Computing, Information, Communication and Applications. ERCICA 2016. Springer, Singapore

  10. Geetha V, Salvi Sanket Sarang , Sowmya Kamath S (2018), Smart Home Environment: Artificial Intelligence Enabled IoT Framework for Smart Living and Smart HealthIn: AI-Based Services for Smart Cities and Urban Infrastructure, Editors: Lyu, Hu, Duan and Sugumaran (Oakland University), IGI Global, 2021 (DOI: 10.4018/978-1-7998-5024-3)

Refereed Conference Research Papers CORE ranked/Scopus Indexed

  1. 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 3-5, 2020 [CORE ‘A’ ranked]

  2. Suyash Ghuge, Nishant Kumar, Tilak Shenoy and Sowmya Kamath S, "Deep Neural Network Models for Detection of Arrhythmia based on Electrocardiogram Reports", 11th International Conference on Computing Communication and Networking Technologies, July 1-3, 2020, IIT Kharagpur [Scopus]

  3. Karthik K and Sowmya Kamath S, "Improving Clinical Diagnosis Performance with Automated X-ray Scan Quality Enhancement Algorithms", International Conference on Advances in Systems, Control and Computing (AISCC-2020), Malaviya National Institute of Technology, Jaipur (MNIT Jaipur), February 27-28, 2020. [Scopus]

  4. Nachiketh N, Ashwin Nayak and Sowmya Kamath S, "Leveraging Deep Learning Approaches for Patient Case Similarity Evaluation", 8th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2020), NITK Surathkal, Jan 4-5, 2020 [Scopus] [Awarded Best paper]

  5. Selvan Sunitha Ravi, Anumeha Agrawal, Rosa Anil George and Sowmya Kamath S, "Benchmarking Semantic, Centroid and Graph based approaches for Medical Multi-document Summarization", 8th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2020), NITK Surathkal, Jan 4-5, 2020 [Scopus]

  6. Aditya Jayasimha, Tushaar Gangavarapu, Sowmya Kamath S and Gokul S Krishnan, "Deep Neural Learning for Automated Diagnostic Code Group Prediction Using Unstructured Nursing Notes", ACM India Joint International Conference on Data Science & Management of Data 7th ACM IKDD CoDS and 25th COMAD, ISB Hyderabad, 5-7 January 2020 [Core ‘A’ ranked]

  7. Tushaar Gangavarapu, Gokul S Krishnan and Sowmya Kamath S, "Coherence-based Modeling of Clinical Concepts Inferred from Heterogeneous Clinical Notes for ICU Patient Risk Stratification", In the proceedings of SIGNLL Conference on Computational Natural Language Learning (CoNLL), 2019 Conference on Empirical Methods in NLP (EMNLP 2019), Hong Kong, Nov 3-7, 2019 [Core A* ranked]

  8. Anumeha Agarwal, Sunitha Selvan, Rosa George, Sowmya Kamath S and Anand Kumar M, "ARS_NITK at MEDIQA 2019:Analysing Various Methods for Natural Language Inference, Recognising Question Entailment and MedicalQuestion Answering System", MEDIQA@ACL-BioNLP, Shared Task on Textual Inference and Question Entailment in the Medical Domain, co-located with 57th Annual Meeting of the Association for Computational Linguistics (ACL), Florence (Italy), Jul 28 - Aug 2, 2019. [Core A* ranked]

  9. Tushaar Gangavarapu, Aditya Jayasimha, Gokul S Krishnan and Sowmya Kamath S, "TAGS: Towards Automated Classification of Unstructured Clinical Nursing Notes", 24th International Conference on Natural Language & Database Information Systems (NLDB 2019), Salford, England, June 26-28, 2019 [CORE ranked]

  10. Gokul S Krishnan and Sowmya Kamath S, "Ontology-driven Text Feature Modeling for Disease Prediction using Unstructured Radiological Notes", 20th International Conference on Computational Linguistics and Intelligent Text Processing, April 7 to 13, 2019, La Rochelle, France [Core B Ranked]

  11. Gokul S. Krishnan and Sowmya Kamath S, "Evaluating the Quality of Word Representation Models for Unstructured Clinical Text based ICU Mortality Prediction", 20th International Conference on Distributed Computing and Networking (ICDCN 2019), January 4-7, 2019, IISc Bangalore, India [Core B Ranked]

  12. M M Vikram, Aditya Anantharaman, and Sowmya Kamath S, "An Approach for Multimodal Medical Image Retrieval using Latent Dirichlet Allocation", ACM India Joint International Conference on Data Science & Management of Data (CODS-COMAD 2018), Kolkata, January 3-5, 2019 [Core B Ranked]

  13. M M Vikram, Aditya Anantharaman, Suhas B S and Sowmya Kamath S, "Multimodal Medical Image Retrieval based on Latent Topic Modeling", Medical Imaging meets NIPS (MED-NIPS 2018) Workshop, co-located with 32nd Conference on Neural Information Processing Systems (NIPS 2018), Dec 2-8, 2018. Montreal, Canada. [Core A* Ranked]

  14. Karthik K and Sowmya Kamath S, "A Hybrid Feature Modeling Approach for Content-based Medical Image Retrieval", 13th International Conference On Industrial And Information Systems (ICIIS 2018), IIT Ropar, India, December 1-2, 2018 [Core C Ranked]

  15. Vishakh Padmakumar, Rishab Ranga, Srivalya Elluru and Sowmya Kamath S, "A Robust Approach to Open Vocabulary Image Retrieval with Deep Convolutional Neural Networks and Transfer Learning", 24th PNC Annual Conference and Joint Meetings 2018 (PNC 2018), San Francisco, United States, October 26-30, 2018 [Scopus]

  16. Gokul S Krishnan and Sowmya Kamath S, "A Supervised Approach for Patient-specific ICU Mortality Prediction using Feature Modeling", 7th International Conference on Frontier Computing (FC 2018), July 3-5, 2018, Malaysia. [Scopus]

  17. Gokul S Krishnan and Sowmya Kamath S, "A Supervised Learning Approach for ICU Mortality Prediction based on Unstructured Electrocardiogram Text Reports", 23rd International Conference on Natural Language &Database Information Systems (NLDB 2018), Paris, France, June 13 - 15, 2018 [CORE ranked]

  18. Pooja M Soundalgekar, Mukta Kulkarni, Divija Nagaraju and Sowmya Kamath S, "Medical Image Retrieval Using Manifold Ranking with Relevance Feedback", International Workshop on Semantic Multimedia Computing co-located with the 12th IEEE International Conference on Semantic Computing (ICSC 2018), Laguna Hills, California, USA [Scopus]

  19. Sowmya Kamath S and Karthik K, "A Bag of Visual Words Model for Medical Image Retrieval", in the proceedings of the 7th International Engineering Symposium (IES 2018), Kumamoto University, Kumamoto, Japan, Mar 7-9, 2018.