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Suresh Pokharel
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2020 – today
- 2023
- [j6]Pawel Pratyush
, Suresh Pokharel, Hiroto Saigo, Dukka B. KC:
pLMSNOSite: an ensemble-based approach for predicting protein S-nitrosylation sites by integrating supervised word embedding and embedding from pre-trained protein language model. BMC Bioinform. 24(1): 41 (2023) - [j5]Ramesh Adhikari
, Suresh Pokharel:
Performance Evaluation of Convolutional Neural Network Using Synthetic Medical Data Augmentation Generated by GAN. Int. J. Image Graph. 23(1): 2350002:1-2350002:21 (2023) - [j4]Yongkuk Lee
, Suresh Pokharel, Asra Al Muslim, Dukka B. KC, Kyoung Hag Lee, Woon-Hong Yeo
:
Experimental Study: Deep Learning-Based Fall Monitoring among Older Adults with Skin-Wearable Electronics. Sensors 23(8): 3983 (2023) - 2022
- [b1]Suresh Pokharel
:
Electronic health record representation for similarity computing. University of Queensland, Australia, 2022 - [j3]Jing Xiang, Hanbing Xu, Suresh Pokharel, Jiqing Li, Fuzhong Xue, Ping Zhang
:
Building a knowledge base for colorectal cancer patient care using formal concept analysis. BMC Medical Informatics Decis. Mak. 21-S(11): 369 (2022) - [c8]Jatin Kumar Chaudhary, Dibakar Raj Pant, Suresh Pokharel, Jukka-Pekka Skön, Jukka Heikkonen, Rajeev Kumar Kanth
:
Image Quality Assessment by Integration of Low-level & High-Level Features: Threshold Similarity Index. ISIE 2022: 135-141 - 2021
- [j2]Meera Tandan
, Yogesh Acharya
, Suresh Pokharel, Mohan Timilsina:
Discovering symptom patterns of COVID-19 patients using association rule mining. Comput. Biol. Medicine 131: 104249 (2021) - [i1]Hoda Memarzadeh, Nasser Ghadiri, Maryam Lotfi Shahreza, Suresh Pokharel:
Heterogeneous electronic medical record representation for similarity computing. CoRR abs/2104.14229 (2021) - 2020
- [j1]Suresh Pokharel, Guido Zuccon
, Xue Li
, Chandra Prasetyo Utomo
, Yu Li:
Temporal tree representation for similarity computation between medical patients. Artif. Intell. Medicine 108: 101900 (2020) - [c7]Suresh Pokharel
, Guido Zuccon
, Yu Li:
Representing EHRs with Temporal Tree and Sequential Pattern Mining for Similarity Computing. ADMA 2020: 220-235 - [c6]Suresh Pokharel
, Zhenkun Shi
, Guido Zuccon
, Yu Li:
Discriminative Features Generation for Mortality Prediction in ICU. ADMA 2020: 324-338 - [c5]Jing Xiang, Hanbing Xu, Suresh Pokharel, Jiqing Li, Fuzhong Xue, Ping Zhang
:
Similarity Computation based on Formal Concept Analysis for Colorectal Cancer Patients. BIBM 2020: 1335-1339
2010 – 2019
- 2019
- [c4]Chandra Prasetyo Utomo
, Hanna Kurniawati, Xue Li
, Suresh Pokharel:
Personalised Medicine in Critical Care Using Bayesian Reinforcement Learning. ADMA 2019: 648-657 - 2018
- [c3]Suresh Pokharel, Xue Li, Xin Zhao, Anoj Adhikari, Yu Li:
Similarity Computing on Electronic Health Records. PACIS 2018: 198 - [c2]Ibrahim A. Ibrahim, Abdulqader M. Almars
, Suresh Pokharel, Xin Zhao, Xue Li
:
Interesting Recommendations Based on Hierarchical Visualizations of Medical Data. PAKDD (Workshops) 2018: 66-79 - 2014
- [c1]Suresh Pokharel, Mohamed Ahmed Sherif, Jens Lehmann
:
Ontology Based Data Access and Integration for Improving the Effectiveness of Farming in Nepal. WI-IAT (1) 2014: 319-326
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