An Automated Diagnostic System for Heart Disease Prediction Based on χ2 Statistical Model and Optimally Configured Deep Neural Network. - Liaqat Ali; Atiqur Rahman; Aurangzeb Khan; Mingyi Zhou; Ashir Javeed; Javed Ali Khan (IEEE Access, 2019)

Reliable Parkinson's Disease Detection by Analyzing Handwritten Drawings: Construction of an Unbiased Cascaded Learning System Based on Feature Selection and Adaptive Boosting Model. - Liaqat Ali; Ce Zhu; Noorbakhsh Amiri Golilarz; Ashir Javeed; Mingyi Zhou; Yipeng Liu 001 (IEEE Access, 2019)

An Intelligent Learning System Based on Random Search Algorithm and Optimized Random Forest Model for Improved Heart Disease Detection. - Ashir Javeed; Shijie Zhou 002; Yongjian Liao; Iqbal Qasim; Adeeb Noor; Redhwan Nour (IEEE Access, 2019)

Development of Hepatitis Disease Detection System by Exploiting Sparsity in Linear Support Vector Machine to Improve Strength of AdaBoost Ensemble Model. - Wasif Akbar; Wei-Ping Wu; Sehrish Saleem; Muhammad Farhan; Muhammad Asim Saleem; Ashir Javeed; Liaqat Ali (Mob. Inf. Syst., 2020)

Heart Risk Failure Prediction Using a Novel Feature Selection Method for Feature Refinement and Neural Network for Classification. - Ashir Javeed; Sanam Shahla Rizvi; Shijie Zhou 002; Rabia Riaz; Shafqat Ullah Khan; Se Jin Kwon (Mob. Inf. Syst., 2020)

Localization for V2X communication with noisy distance measurement. - Iram Javed; Xianlun Tang; Muhammad Asim Saleem; Ashir Javeed; Muhammad Azam Zia; Ijaz Ali Shoukat (Int. J. Intell. Networks, 2023)

Sooty Tern Optimization Algorithm-Based Deep Learning Model for Diagnosing NSCLC Tumours. - Muhammad Asim Saleem; Ngoc Thien Le; Widhyakorn Asdornwised; Surachai Chaitusaney; Ashir Javeed; Watit Benjapolakul (Sensors, 2023)

Predictive Power of XGBoost_BiLSTM Model: A Machine-Learning Approach for Accurate Sleep Apnea Detection Using Electronic Health Data. - Ashir Javeed; Johan Sanmartin Berglund; Ana Luiza Dallora; Muhammad Asim Saleem; Peter Anderberg (Int. J. Comput. Intell. Syst., 2023)

Machine Learning for Dementia Prediction: A Systematic Review and Future Research Directions. - Ashir Javeed; Ana Luiza Dallora; Johan Sanmartin Berglund; Arif Ali; Liaqat Ali; Peter Anderberg (J. Medical Syst., 2023)

Optimizing Depression Prediction in Older Adults: A Comparative Study of Feature Extraction and Machine Learning Models. - Ashir Javeed; Peter Anderberg; Ahmad Nauman Ghazi; Asim Javeed; Ana Luiza Dallora; Johan Sanmartin Berglund (ICCAD, 2024)

Innovations in Stroke Identification: A Machine Learning-Based Diagnostic Model Using Neuroimages. - Muhammad Asim Saleem; Ashir Javeed; Wasan Akarathanawat; Aurauma Chutinet; Nijasri Charnnarong Suwanwela; Widhyakorn Asdornwised; Surachai Chaitusaney; Sunchai Deelertpaiboon; Wattanasak Srisiri; Watit Benjapolakul; Pasu Kaewplung (IEEE Access, 2024)

Corrections to "Innovations in Stroke Identification: A Machine Learning-Based Diagnostic Model Using Neuroimages". - Muhammad Asim Saleem; Ashir Javeed; Wasan Akarathanawat; Aurauma Chutinet; Nijasri Charnnarong Suwanwela; Widhyakorn Asdornwised; Surachai Chaitusaney; Sunchai Deelertpaiboon; Wattanasak Srisiri; Watit Benjapolakul; Pasu Kaewplung (IEEE Access, 2024)

Unveiling Cancer: A Data-Driven Approach for Early Identification and Prediction Using F-RUS-RF Model. - Ashir Javeed; Peter Anderberg; Muhammad Asim Saleem; Ahmad Nauman Ghazi; Johan Sanmartin Berglund (Int. J. Imaging Syst. Technol., 2024)

Correction to: Machine Learning for Dementia Prediction: A Systematic Review and Future Research Directions. - Ashir Javeed; Ana Luiza Dallora; Johan Sanmartin Berglund; Arif Ali; Liaqat Ali; Peter Anderberg (J. Medical Syst., 2024)

Neural-XGBoost: A Hybrid Approach for Disaster Prediction and Management Using Machine Learning. - Muhammad Asim Saleem; Ashir Javeed; Watit Benjapolakul; Wattanasak Srisiri; Surachai Chaitusaney; Pasu Kaewplung (IEEE Access, 2025)

Predicting Depression in Older Adults: A Novel Feature Selection and Neural Network Framework. - Ashir Javeed; Peter Anderberg; Ahmad Nauman Ghazi; Muhammad Asim Saleem; Johan Sanmartin Berglund (Neural Process. Lett., 2025)