Suresh Pokharel

According to our database, Suresh Pokharel authored at least 16 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

pLMSNOSite: an ensemble-based approach for predicting protein S-nitrosylation sites by integrating supervised word embedding and embedding from pre-trained protein language model.

Pawel Pratyush, Suresh Pokharel, Hiroto Saigo, Dukka B. KC

BMC Bioinform., December, 2023

Performance Evaluation of Convolutional Neural Network Using Synthetic Medical Data Augmentation Generated by GAN.

Ramesh Adhikari, Suresh Pokharel

Int. J. Image Graph., January, 2023

Experimental Study: Deep Learning-Based Fall Monitoring among Older Adults with Skin-Wearable Electronics.

Yongkuk Lee, Suresh Pokharel, Asra Al Muslim, Dukka B. KC, Kyoung Hag Lee, Woon-Hong Yeo

Sensors, 2023

2022

Electronic health record representation for similarity computing

Suresh Pokharel

PhD thesis, 2022

Building a knowledge base for colorectal cancer patient care using formal concept analysis.

Jing Xiang, Hanbing Xu, Suresh Pokharel, Jiqing Li, Fuzhong Xue, Ping Zhang

BMC Medical Informatics Decis. Mak., 2022

Image Quality Assessment by Integration of Low-level & High-Level Features: Threshold Similarity Index.

Jatin Kumar Chaudhary, Dibakar Raj Pant, Suresh Pokharel, Jukka-Pekka Skön, Jukka Heikkonen, Rajeev Kumar Kanth

Proceedings of the 31st IEEE International Symposium on Industrial Electronics, 2022

2021

Heterogeneous electronic medical record representation for similarity computing.

Hoda Memarzadeh, Nasser Ghadiri, Maryam Lotfi Shahreza, Suresh Pokharel

CoRR, 2021

Discovering symptom patterns of COVID-19 patients using association rule mining.

Meera Tandan, Yogesh Acharya, Suresh Pokharel, Mohan Timilsina

Comput. Biol. Medicine, 2021

2020

Temporal tree representation for similarity computation between medical patients.

Suresh Pokharel, Guido Zuccon, Xue Li, Chandra Prasetyo Utomo, Yu Li

Artif. Intell. Medicine, 2020

Similarity Computation based on Formal Concept Analysis for Colorectal Cancer Patients.

Jing Xiang, Hanbing Xu, Suresh Pokharel, Jiqing Li, Fuzhong Xue, Ping Zhang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

Representing EHRs with Temporal Tree and Sequential Pattern Mining for Similarity Computing.

Suresh Pokharel, Guido Zuccon, Yu Li

Proceedings of the Advanced Data Mining and Applications - 16th International Conference, 2020

Discriminative Features Generation for Mortality Prediction in ICU.

Suresh Pokharel, Zhenkun Shi, Guido Zuccon, Yu Li

Proceedings of the Advanced Data Mining and Applications - 16th International Conference, 2020

2019

Personalised Medicine in Critical Care Using Bayesian Reinforcement Learning.

Chandra Prasetyo Utomo, Hanna Kurniawati, Xue Li, Suresh Pokharel

Proceedings of the Advanced Data Mining and Applications - 15th International Conference, 2019

2018

Interesting Recommendations Based on Hierarchical Visualizations of Medical Data.

Ibrahim A. Ibrahim, Abdulqader M. Almars, Suresh Pokharel, Xin Zhao, Xue Li

Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2018

Similarity Computing on Electronic Health Records.

Suresh Pokharel, Xue Li, Xin Zhao, Anoj Adhikari, Yu Li

Proceedings of the 22nd Pacific Asia Conference on Information Systems, 2018

2014

Ontology Based Data Access and Integration for Improving the Effectiveness of Farming in Nepal.

Suresh Pokharel, Mohamed Ahmed Sherif, Jens Lehmann

Proceedings of the 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT), Warsaw, Poland, August 11-14, 2014, 2014