Search Results for author: Mohammad Amin Morid

Found 6 papers, 0 papers with code

Time Series Prediction using Deep Learning Methods in Healthcare

no code implementations30 Aug 2021 Mohammad Amin Morid, Olivia R. Liu Sheng, Joseph Dunbar

Secondly, these methods depend on feature engineering to capture the sequential nature of patient data, which may not adequately leverage the temporal patterns of the medical events and their dependencies.

Feature Engineering Time Series +1

Healthcare Cost Prediction: Leveraging Fine-grain Temporal Patterns

no code implementations14 Sep 2020 Mohammad Amin Morid, Olivia R. Liu Sheng, Kensaku Kawamoto, Travis Ault, Josette Dorius, Samir AbdelRahman

To prepare the data for modeling and prediction, the time series data of cost, visit and medical information were extracted in the form of fine-grain features (i. e., segmenting each time series into a sequence of consecutive windows and representing each window by various statistics such as sum).

Time Series

A scoping review of transfer learning research on medical image analysis using ImageNet

no code implementations27 Apr 2020 Mohammad Amin Morid, Alireza Borjali, Guilherme Del Fiol

Inception models were the most commonly used in breast related studies (50%), while VGGNet was the common in eye (44%), skin (50%) and tooth (57%) studies.

Data Augmentation Transfer Learning

Leveraging Patient Similarity and Time Series Data in Healthcare Predictive Models

no code implementations25 Apr 2017 Mohammad Amin Morid, Olivia R. Liu Sheng, Samir AbdelRahman

This study makes contributions to time series classification and early ICU mortality prediction via identifying and enhancing temporal feature engineering and reduction methods for similarity-based time series classification.

Change Point Detection Classification +7

PPMF: A Patient-based Predictive Modeling Framework for Early ICU Mortality Prediction

no code implementations25 Apr 2017 Mohammad Amin Morid, Olivia R. Liu Sheng, Samir AbdelRahman

The first component captures dynamic changes of patients status in the ICU using their time series data (e. g., vital signs and laboratory tests).

Feature Selection ICU Mortality +1

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