Health Informatics

Healthcare Computing

Nowadays we are moving towards 6G technologies where digitization of healthcare will be an important aspect. In that regard huge data collection is required for properly training the system so that it gives the best results. For designing intelligent healthcare software training of the system is required to be done properly. In that regard we working on cancer detection,diabetes prediction and COVID-19 detection. Mr. Arnab Kumar Mishra, Phd scholar  is working in breast cancer and lung cancer detection. Mr. Sujit Kumar Das, PhD scholar is working on Diabetes detection, prediction and diabetes foot ulcer prediction. Due to the ongoing pandemic situation we had started our focus towards COVID 19 prediction and detection using chest CT images. A Journal paper as listed below related to COVID 19 detection is published which is listed in the WHO for reference. A Mtech student, Abhishek Kumar(passed out,2021) had also worked on COVID 19 prediction and communicated papers in journals and conferences. This work on COVID 19 is at present continued by Mtech student,Sushant Gaikwad.

Faculty Members

Student Members

  • Arnab Kumar Mishra,PhD(Ongoing)
  • Sujit Kumar Das,PhD(Ongoing)
  • Sushant Gaikwad,MTech(ongoing)
  • Abhishek Kumar,MTech(Passed Out)

PUBLICATIONS

BOOKS:

Ripon Patgiri, Anupam Biswas and Pinki Roy, title, “Health Informatics: A Computational Perspective in Healthcare” to be published in Studies in Computational Intelligence, vol. 932, pages 330, 2021, Springer Book Series, doi: 10.1007/978-981-15-9735-0

JOURNALS:-

1. Sujit Kumar Das, Pinki Roy, Arnab Kumar Mishra(2021), “ DFU_SPNet: A stacked parallel convolution layers based CNN to improve Diabetic Foot Ulcer classification” Journal of Information & Communications Technology(ICT) Express, Elsevier,2021.(SCI Indexing, IF =3.17)(Accepted)

2.Sujit Kumar Das, Arnab Kumar Mishra, and Pinki Roy, “Fusion of Handcrafted and Deep CNN Features for Effective Identification of Diabetic Foot Ulcer”, Concurrency and Computation Practice and Experience, Wiley Online Library. SCIE and Scopus Indexed. Impact Factor: 1.536.(SCIE, DOI: 10.1002/cpe.6690) .

3. Arnab Kumar Mishra, Pinki Roy, Sivaji Bandyopadhyay, Sujit Kumar Das(2021). “Breast Ultrasound Tumor Classification: A Machine Learning – Radiomics Based Approach”. Journal of Expert Systems, Wiley Online Library,2021 (SCIE, Scopus Indexed,IF: 2.587)

4. Sujit Kumar Das, Pinki Roy, Arnab Kumar Mishra(2021).”Recognition of ischaemia and infection in diabetic foot ulcer: A deep convolutional neural network based approach.”International Journal of Imaging Systems and Technology, Wiley Online Library.2021;1–17. (SCIE, Scopus Indexed,IF: 2.0)

5. Arnab Kumar Mishra, Sujit Kumar Das, Pinki Roy, Sivaji Bandyopadhyay, (2020)“Identifying COVID19 from Chest CT Images: A Deep Convolutional Neural Networks Based Approach”,Journal of Healthcare Engineering, Vol. 2020, Article ID 8843664, 7 pages, 2020. (SCIE, Scopus Indexed,IF: 2.682),Listed in WHO for reference.

6. Saswati Debnath, Pinki Roy(2019), “Study of speech enabled healthcare technology”International Journal of Medical Engineering and Informatics. Inderscience Publishers, ISSN online:1755-0661,2019.(Indexed-SCOPUS)

7.Kumar Das, Sujit, Arnab Kumar Mishra, and Pinki Roy(2019). “Automatic Diabetes Prediction Using Tree Based Ensemble Learners.” International Journal of Computational Intelligence & IoT 2, no. 2 (2019). (SCOPUS Indexed).

INTERNATIONAL CONFERENCE

1. Arnab Kumar Mishra, Pinki Roy, Sivaji Bandyopadhyay(2020), “Binary Particle Swarm Optimization Based Feature Selection (BPSO-FS) for Improving Breast Cancer Prediction.” In Proceedings of International Conference on Artificial Intelligence and Applications held in Delhi, pp. 373-384. Springer, 2020. (Best Paper Award)(DOI:https://doi.org/10.1007/978-)

2. Lalduhsaka and Pinki Roy(2018), “A study of Machine Learnig Techniques in Health Informatics”, International Conference on Computational Intelligence and IOT (ICCIIOT), 2018, 14-15 December, 2018, NIT Agartala, Tripura, India.

3. Sujit Kumar Das, Arnab Kumar Mishra and Pinki Roy(2018), “Automatic Diabetes Prediction Using Tree Based Ensemble Learners”, International Conference on Computational Intelligence and IOT (ICCIIOT), 2018, 14-15 December, 2018, NIT Agartala, Tripura, India.

BOOK CHAPTER

1. Sujit Kumar Das, Pinki Roy, Arnab Kumar Mishra (2021). “Deep Learning Techniques Dealing with Diabetes Mellitus: A Comprehensive Study.” In: Patgiri R., Biswas A., Roy P. (eds) Health Informatics: A Computational Perspective in Healthcare. Studies in Computational Intelligence, vol 932. Springer, Singapore.

2. Arnab Kumar Mishra, Pinki Roy and Sivaji Bandyopadhyay(2019), “Genetic Algorithm Based Selection of Appropriate Biomarkers for Improved Breast Cancer Prediction”, Advances in Intelligent Systems and Computing (AISC Series Springer) Intelligent Systems Conference (IntelliSys-2019), 05-06 September 2019,London, United Kingdom

EXPERTS LECTURES DELIVERED

1.Delivered ‘ Expert talk ‘ in AICTE Sponsored Six days online STTP(Series-III) on the Internet of Medical Things Enabling Technologies in Healthcare in the Chennai Institute of Technology,Sarathynagar,Kundrathur,Chennai-600069,Tamilnadu,India, 3_8th  August’2020.

2. Delivered ‘ Expert talk” in Health Informatics’ in 6 Days Faculty Development Program On “ADVANCES IN ARTIFICIAL THE THE OXFORD INTELLIGENCE AND COLLEGE OF MACHINE LEARNING” in ENGINEERING ,Bengaluru association with IEEE CS CHAPTER , TOCE, Oxford college of Engineering, Bengaluru, 26th – 31st JULY 2021

UNDER REVIEW(JOURNALS)

1. Arnab Kumar Mishra, Pinki Roy, Sivaji Bandyopadhyay and Sujit Kumar Das. “A Multi-Task Learning Based Approach for Efficient Breast Cancer Detection and Classification”. Expert Systems, Wiley Online Library. SCIE and Scopus Indexed. Impact Factor: 2.587. (Major Revision Under Review)

2. Arnab Kumar Mishra, Pinki Roy, Sivaji Bandyopadhyay and Sujit Kumar Das. “Feature Fusion Based Machine Learning Pipeline to Improve Breast Cancer Prediction“. Multimedia Tools and Applications, Springer. SCIE and Scopus Indexed. Impact Factor: 2.757. (Major Revision Under Review)

3.Arnab Kumar Mishra, Pinki Roy, Sivaji Bandyopadhyay and Sujit Kumar Das. “CR-SSL: A Closely Related Self Supervised Learning Based Approach for Improving Breast Ultrasound Tumor Segmentation“. International Journal of Imaging Systems and Technology, Wiley Online Library. SCIE and Scopus Indexed. Impact Factor: 2.000. (Minor Revision Submitted)

4.Sujit Kumar Das, Pinki Roy, “Oversample-Select-Tune: A Machine Learning Pipeline for Improving Diabetes Identification”, Concurrency and Computation Practice and Experience, Wiley Online Library. SCIE and Scopus Indexed. Impact Factor: 1.536. (Major Revision Submitted).

5.Arnab Kumar Mishra, Pinki Roy, Sivaji Bandyopadhyay and Sujit Kumar Das. “Achieving Highly Efficient Breast Ultrasound Tumor Classification with Deep Convolutional Neural Networks“. ICT Express, Elsevier. SCIE and Scopus Indexed. Impact Factor: 4.317. (Under Review)

6. Sujit Kumar Das, Pinki Roy ,Arnab Kumar Mishra, “HybridDFUNet: A CNN Based Hybridized Approach to Improve Automatic Recognition of Ischaemia and Infection in DFU”, Expert Systems, Wiley Online Library. SCIE and Scopus Indexed. Impact Factor: 2.587. (Under Review).

7. Arnab Kumar Mishra, Pinki Roy, Sivaji Bandyopadhyay and Sujit Kumar Das. “Deep Learning Techniques in Breast Ultrasound Based Tumor Segmentation and Classification: A State-of-the-Art Review”. Artificial Intelligence Review, Springer. SCIE and Scopus Indexed. Impact Factor: 8.139. (Under Review)

8. Arnab Kumar Mishra, Pinki Roy, Sivaji Bandyopadhyay and Sujit Kumar Das. “Reducing False Positives in Lung Nodule Detection Using Attention Enhanced Residual Multi-Scale DenseNet“. International Journal of Imaging Systems and Technology, Wiley Online Library. SCIE and Scopus Indexed. Impact Factor: 2.000. (Under Review)

About Pinki Roy

My research interest include Machine intelligence, Speech processing, Networking, Network security and Data security in cloud computing environment. Focus of my research work is mainly to give emphasis on our practical problems instead of focusing on research papers of abroad which are less relevant for the problems in India.