106 citations · 202 across the 8 of their papers we have counts for
8 papers
Learning Hidden Patterns from Patient Multivariate Time Series Data Using Convolutional Neural Networks: A Case Study of Healthcare Cost Prediction
Mohammad Amin Morid, Olivia R. Liu Sheng, Kensaku Kawamoto +1
Objective: To develop an effective and scalable individual-level patient cost prediction method by automatically learning hidden temporal patterns from multivariate time series dat…
Healthcare Cost Prediction: Leveraging Fine-grain Temporal Patterns
Mohammad Amin Morid, Olivia R. Liu Sheng, Kensaku Kawamoto +3
Objective: To design and assess a method to leverage individuals' temporal data for predicting their healthcare cost. To achieve this goal, we first used patients' temporal data in…
F-tree: an algorithm for clustering transactional data using frequency tree
Mahmoud Mahdi, Samir Abdelrahman, Reem Bahgat +1
Clustering is an important data mining technique that groups similar data records, recently categorical transaction clustering is received more attention. In this research, we stud…
Leveraging Patient Similarity and Time Series Data in Healthcare Predictive Models
Mohammad Amin Morid, Olivia R. Liu Sheng, Samir Abdelrahman
Patient time series classification faces challenges in high degrees of dimensionality and missingness. In light of patient similarity theory, this study explores effective temporal…
PPMF: A Patient-based Predictive Modeling Framework for Early ICU Mortality Prediction
Mohammad Amin Morid, Olivia R. Liu Sheng, Samir Abdelrahman
To date, developing a good model for early intensive care unit (ICU) mortality prediction is still challenging. This paper presents a patient based predictive modeling framework (P…
A Machine Learning Approach For Opinion Holder Extraction In Arabic Language
Mohamed Elarnaoty, Samir AbdelRahman, Aly Fahmy
Opinion mining aims at extracting useful subjective information from reliable amounts of text. Opinion mining holder recognition is a task that has not been considered yet in Arabi…