513 citations · 686 across the 11 of their papers we have counts for
3 papers · 1 filter
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…