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Tahani Daghistani
Tahani Daghistani
Ministry of National Guard Health Affairs (MNGHA)
Verified email at ngha.med.sa
Title
Cited by
Cited by
Year
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
1622019
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
572020
Diagnosis of diabetes by applying data mining classification techniques
T Daghistani, R Alshammari
International Journal of Advanced Computer Science and Applications 7 (7), 2016
542016
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
372018
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
292020
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
232016
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
222018
Discovering diabetes complications: an ontology based model
T Daghistani, R Al Shammari, MI Razzak
Acta Informatica Medica 23 (6), 385, 2015
162015
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
112020
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
82019
Riyad Alshammari,“
T Daghistani
Diagnosis of Diabetes by Applying Data Mining Classification …, 2016
52016
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, ...
ITCH, 12-16, 2015
52015
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
42020
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
22022
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
22017
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
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