106 citations · 202 across the 8 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…
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…