Cookies

We use cookies to ensure that we give you the best experience on our website. You can change your cookie settings at any time. Otherwise, we'll assume you're OK to continue.

Durham University

Email and Telephone Directory

Staff Profile

Mr Zakhriya Alhassan - all publications

  • 1: Alhassan, Zakhriya, Budgen, David, Alshammari, Riyad, Daghstani, Tahani, McGough, A. Stephen & Al Moubayed, Noura (2018), Stacked Denoising Autoencoders for Mortality Risk Prediction Using Imbalanced Clinical Data, 2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA). Orlando, FL, USA.
  • 2: Alhassan, Zakhriya, McGough, Stephen, Alshammari, Riyad, Daghstani, Tahini, Budgen, David & Al Moubayed, Noura (2018), Type-2 Diabetes Mellitus Diagnosis from Time Series Clinical Data using Deep Learning Models, in Kůrková, Věra, Manolopoulos, Yannis, Hammer, Barbara, Iliadis, Lazaros & Maglogiannis, Ilias eds, Lecture Notes in Computer Science 1141: International Conference on Artificial Neural Networks (ICANN). Rhodes, Greece, Springer, 468-478.
  • 3: Alessa, Ali, Faezipour, Miad & Alhassan, Zakhriya (2018), Text Classification of Flu-Related Tweets Using FastText with Sentiment and Keyword Features, 2018 IEEE International Conference on Healthcare Informatics (ICHI). New York, NY, USA.
  • Alhassan, Zakhriya, Budgen, David, Alshammari, Riyad & Moubayed, Noura Al (2020). Predicting Current Glycated Hemoglobin Levels in Adults From Electronic Health Records: Validation of Multiple Logistic Regression Algorithm. Journal of Medical Internet Research 8(7): e18963.
  • Alhassan, Zakhriya, Budgen, David, Alessa, Ali, Alshammari, Riyad, Daghstani, Tahini & Al Moubayed, Noura (2019), Collaborative Denoising Autoencoder for High Glycated Haemoglobin Prediction, in Tetko, Igor V. Kůrková, Věra Karpov, Pavel & Theis, Fabian eds, Lecture Notes in Computer Science 11731: 28th International Conference on Artificial Neural Networks, ICANN2019. Munich, Germany, Springer, Cham, 338-350.