121 citations · 155 across the 3 of their papers we have counts for
4 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…
A scoping review of transfer learning research on medical image analysis using ImageNet
Mohammad Amin Morid, Alireza Borjali, Guilherme Del Fiol
Objective: Employing transfer learning (TL) with convolutional neural networks (CNNs), well-trained on non-medical ImageNet dataset, has shown promising results for medical image a…
Detecting total hip replacement prosthesis design on preoperative radiographs using deep convolutional neural network
Alireza Borjali, Antonia F. Chen, Orhun K. Muratoglu +2
Identifying the design of a failed implant is a key step in preoperative planning of revision total joint arthroplasty. Manual identification of the implant design from radiographi…