M. Morid

发表

Leveraging Patient Similarity and Time Series Data in Healthcare Predictive Models

S. Abdelrahman, O. Sheng, M. Morid, 2017, ArXiv.

T rust E valuation U sing an I mproved C ontext S imilarity M easurement

M. Shajari, M. Morid, Mohsen Raeesi, 2014 .

Time Series Prediction Using Deep Learning Methods in Healthcare

Josef A. Dunbar, O. R. Sheng, M. Morid, 2021, ACM Trans. Manag. Inf. Syst..

Defending recommender systems by influence analysis

M. Shajari, M. Morid, Alireza Hashemi, 2014, Information Retrieval.

An enhanced e-commerce trust model for community based centralized systems

M. Shajari, M. Morid, 2012, Electron. Commer. Res..

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

Guilherme Del Fiol, Mohammad Amin Morid, Alireza Borjali, 2020, Comput. Biol. Medicine.

Predictive analytics for step-up therapy: Supervised or semi-supervised learning?

Guilherme Del Fiol, Mohammad Amin Morid, Michael Lau, 2021, J. Biomed. Informatics.

Detecting total hip replacement prosthesis design on plain radiographs using deep convolutional neural network

O. Muratoglu, Antonia F. Chen, K. Varadarajan, 2019, Journal of orthopaedic research : official publication of the Orthopaedic Research Society.

Automatic identification of high impact articles in PubMed to support clinical decision making

Guilherme Del Fiol, Siddhartha Jonnalagadda, Gang Luo, 2017, J. Biomed. Informatics.

Temporal Pattern Detection to Predict Adverse Events in Critical Care: Case Study With Acute Kidney Injury

Guilherme Del Fiol, Mohammad Amin Morid, Bruce E Bray, 2020, JMIR medical informatics.

Comparing performance of deep convolutional neural network with orthopaedic surgeons on identification of total hip prosthesis design from plain radiographs

O. Muratoglu, K. Varadarajan, C. Melnic, 2020, medRxiv.

Detecting mechanical loosening of total hip replacement implant from plain radiograph using deep convolutional neural network

O. Muratoglu, Antonia F. Chen, K. Varadarajan, 2019, ArXiv.

Supervised Learning Methods for Predicting Healthcare Costs: Systematic Literature Review and Empirical Evaluation

Kensaku Kawamoto, Samir E. AbdelRahman, Mohammad Amin Morid, 2017, AMIA.

Healthcare cost prediction: Leveraging fine-grain temporal patterns

Olivia R. Liu Sheng, Kensaku Kawamoto, Samir E. AbdelRahman, 2019, J. Biomed. Informatics.

Classification of clinically useful sentences in clinical evidence resources

Kalpana Raja, Guilherme Del Fiol, Siddhartha Jonnalagadda, 2016, J. Biomed. Informatics.

Evaluation of micronutrients effects on production and activity of chitinase enzyme of some Trichoderma species.

M. Morid, D. Zafari, 2013 .

Learning Hidden Patterns from Patient Multivariate Time Series Data Using Convolutional Neural Networks: A Case Study of Healthcare Cost Prediction

Olivia R. Liu Sheng, Kensaku Kawamoto, Mohammad Amin Morid, 2020, J. Biomed. Informatics.

Deep Learning in Orthopedics: How Do We Build Trust in the Machine?

Antonia F. Chen, Mohammad Amin Morid, Orhun K. Muratoglu, 2020 .

Temporal Pattern Detection to Predict Adverse Events in Critical Care: Case Study With Acute Kidney Injury

G. Del Fiol, S. Abdelrahman, J. Facelli, 2019, JMIR medical informatics.

Leveraging Time Series Data in Similarity Based Healthcare Predictive Models: The Case of Early ICU Mortality Prediction

Olivia R. Liu Sheng, Samir E. AbdelRahman, Mohammad Amin Morid, 2017, AMCIS.

Classification of Clinically Useful Sentences in MEDLINE

Kalpana Raja, Guilherme Del Fiol, Marcelo Fiszman, 2015, AMIA.