Using blockchain for electronic health records A Shahnaz, U Qamar, A Khalid IEEE access 7, 147782-147795, 2019 | 578 | 2019 |
TOM: Twitter opinion mining framework using hybrid classification scheme FH Khan, S Bashir, U Qamar Decision support systems 57, 245-257, 2014 | 421 | 2014 |
IntelliHealth: a medical decision support application using a novel weighted multi-layer classifier ensemble framework S Bashir, U Qamar, FH Khan Journal of biomedical informatics 59, 185-200, 2016 | 166 | 2016 |
Pakistan’s water economy: Running dry J Briscoe, U Qamar, M Contijoch, P Amir, D Blackmore World Bank, Washington, DC 3540, 2005 | 145 | 2005 |
A semi-supervised approach to sentiment analysis using revised sentiment strength based on SentiWordNet FH Khan, U Qamar, S Bashir Knowledge and information Systems 51, 851-872, 2017 | 131 | 2017 |
SentiMI: Introducing point-wise mutual information with SentiWordNet to improve sentiment polarity detection FH Khan, U Qamar, S Bashir Applied Soft Computing 39, 140-153, 2016 | 126 | 2016 |
Texture classification using rotation-and scale-invariant gabor texture features F Riaz, A Hassan, S Rehman, U Qamar IEEE Signal Processing Letters 20 (6), 607-610, 2013 | 116 | 2013 |
HMV: A medical decision support framework using multi-layer classifiers for disease prediction S Bashir, U Qamar, FH Khan, L Naseem Journal of Computational Science 13, 10-25, 2016 | 104 | 2016 |
An ensemble based decision support framework for intelligent heart disease diagnosis S Bashir, U Qamar, MY Javed International conference on information society (i-Society 2014), 259-264, 2014 | 98 | 2014 |
Secure electronic medical records storage and sharing using blockchain technology M Usman, U Qamar Procedia Computer Science 174, 321-327, 2020 | 94 | 2020 |
eSAP: A decision support framework for enhanced sentiment analysis and polarity classification FH Khan, U Qamar, S Bashir Information Sciences 367, 862-873, 2016 | 89 | 2016 |
BagMOOV: A novel ensemble for heart disease prediction bootstrap aggregation with multi-objective optimized voting S Bashir, U Qamar, FH Khan Australasian physical & engineering sciences in medicine 38, 305-323, 2015 | 88 | 2015 |
An efficient rule-based classification of Diabetes using ID3, C4. 5, & CART ensembles S Bashir, U Qamar, FH Khan, MY Javed 2014 12th International Conference on Frontiers of Information Technology …, 2014 | 84 | 2014 |
Heterogeneous classifiers fusion for dynamic breast cancer diagnosis using weighted vote based ensemble S Bashir, U Qamar, FH Khan Quality & Quantity 49, 2061-2076, 2015 | 83 | 2015 |
SWIMS: Semi-supervised subjective feature weighting and intelligent model selection for sentiment analysis FH Khan, U Qamar, S Bashir Knowledge-based systems 100, 97-111, 2016 | 72 | 2016 |
Developing an expert system based on association rules and predicate logic for earthquake prediction A Ikram, U Qamar Knowledge-Based Systems 75, 87-103, 2015 | 72 | 2015 |
Detection of glaucoma using retinal fundus images F Khan, SA Khan, UU Yasin, I ul Haq, U Qamar The 6th 2013 Biomedical Engineering International Conference, 1-5, 2013 | 69 | 2013 |
An incremental dependency calculation technique for feature selection using rough sets MS Raza, U Qamar Information Sciences 343, 41-65, 2016 | 65 | 2016 |
MAPS database: medicinal plant activities, phytochemical and structural database UA Ashfaq, A Mumtaz, T ul Qamar, T Fatima Bioinformation 9 (19), 993, 2013 | 62 | 2013 |
MV5: a clinical decision support framework for heart disease prediction using majority vote based classifier ensemble S Bashir, U Qamar, FH Khan, MY Javed Arabian Journal for Science and Engineering 39, 7771-7783, 2014 | 61 | 2014 |