| Predictors of in-hospital length of stay among cardiac patients: a machine learning approach TA Daghistani, R Elshawi, S Sakr, AM Ahmed, A Al-Thwayee, ... International journal of cardiology 288, 140-147, 2019 | 167 | 2019 |
| Comparison of statistical logistic regression and random forest machine learning techniques in predicting diabetes T Daghistani, R Alshammari Journal of Advances in Information Technology Vol 11 (2), 78-83, 2020 | 63 | 2020 |
| Diagnosis of diabetes by applying data mining classification techniques T Daghistani, R Alshammari International Journal of Advanced Computer Science and Applications 7 (7), 2016 | 56 | 2016 |
| Type-2 diabetes mellitus diagnosis from time series clinical data using deep learning models Z Alhassan, AS McGough, R Alshammari, T Daghstani, D Budgen, ... Artificial Neural Networks and Machine Learning–ICANN 2018: 27th …, 2018 | 39 | 2018 |
| Predictors of outpatients’ no-show: big data analytics using apache spark T Daghistani, H AlGhamdi, R Alshammari, RH AlHazme Journal of Big Data 7, 1-15, 2020 | 30 | 2020 |
| Improving accelerometer-based activity recognition by using ensemble of classifiers T Daghistani, R Alshammari International journal of advanced computer science and applications 7 (5), 2016 | 23 | 2016 |
| Stacked denoising autoencoders for mortality risk prediction using imbalanced clinical data Z Alhassan, D Budgen, R Alshammari, T Daghstani, AS McGough, ... 2018 17th IEEE International Conference on Machine Learning and Applications …, 2018 | 22 | 2018 |
| Discovering diabetes complications: an ontology based model T Daghistani, R Al Shammari, MI Razzak Acta Informatica Medica 23 (6), 385, 2015 | 16 | 2015 |
| Improving accuracy for diabetes mellitus prediction by using deepnet R Alshammari, N Atiyah, T Daghistani, A Alshammari Online journal of public health informatics 12 (1), 2020 | 11 | 2020 |
| Collaborative denoising autoencoder for high glycated haemoglobin prediction Z Alhassan, D Budgen, A Alessa, R Alshammari, T Daghstani, ... Artificial Neural Networks and Machine Learning–ICANN 2019: Workshop and …, 2019 | 8 | 2019 |
| Using a digital marketing platform for the promotion of an Internet based health encyclopedia in Saudi Arabia A Al Ateeq, E Al Moamary, T Daghestani, Y Al Muallem, M Al Dogether, ... Driving Quality in Informatics: Fulfilling the Promise, 12-16, 2015 | 7 | 2015 |
| Riyad Alshammari,“ T Daghistani Diagnosis of Diabetes by Applying Data Mining Classification …, 2016 | 5 | 2016 |
| The prediction of outpatient no-show visits by using deep neural network from large data R Alshammari, T Daghistani, A Alshammari International Journal of Advanced Computer Science and Applications 11 (10), 2020 | 4 | 2020 |
| Using Artificial Intelligence for Analyzing Retinal Images (OCT) in People with Diabetes: Detecting Diabetic Macular Edema Using Deep Learning Approach T Daghistani Transactions on Machine Learning and Artificial Intelligence 10 (1), 41-49, 2022 | 3 | 2022 |
| THE ROADMAP FOR USING SHAREPOINT TO ENHANCE ORGANIZATION AND MANAGEMENT FUNCTIONS: HEALTHCARE ORGANIZATION-CASE STUDY H Althagafi, T Daghistani Management 21 (1), 15-19, 2017 | 2 | 2017 |
| Year of Publication: 2020 T Daghistani, H Al Ghamdi, RH Abdullah Al Ghamdi | | 2020 |
| A roadmap for using SharePoint to enhance organisation and management functions: Case study of a healthcare organisation HA Thagafi, T Daghistani Management in Healthcare 2 (2), 179-188, 2017 | | 2017 |
| Review of Stroke-specific Natural Language Processing (NLP) and Machine Learning (ML) Applications with Unstructured Data T Daghistani International Journal of Computer Applications 975, 8887, 0 | | |
| Ebtisam Al Ghamdi, Hisham Al Maimony, Talal Al Harbi, Raed H. AlHazme (2020) Assessing the Quality Improvement Associated with Pending Referral Requests at MNG-HA, Saudi Arabia T Daghistani, H AlGhamdi of 3, 2, 0 | | |
| Digital Transformation in the Area of Diabetes Management through Business Intelligence Technology T Daghistani, H Al Ghamdi, A Al Ghamdi, RH AlHazme International Journal of Computer Applications 975, 8887, 0 | | |
Riyad AlshammariDalhousie University在 cs.dal.ca 的电子邮件经过验证
