Search Results - "Morid, Mohammad Amin"

A scoping review of transfer learning research on medical image analysis using ImageNet by Morid, Mohammad Amin, Borjali, Alireza, Del Fiol, Guilherme

“…Employing transfer learning (TL) with convolutional neural networks (CNNs), well-trained on non-medical ImageNet dataset, has shown promising results for…”
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Predictive analytics for step-up therapy: Supervised or semi-supervised learning? by Morid, Mohammad Amin, Lau, Michael, Del Fiol, Guilherme

“…[Display omitted] •Step-up therapy prediction can support resource planning and chronic care management.•Machine learning methods for step-up therapy…”
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Healthcare cost prediction: Leveraging fine-grain temporal patterns by Morid, Mohammad Amin, Sheng, Olivia R. Liu, Kawamoto, Kensaku, Ault, Travis, Dorius, Josette, Abdelrahman, Samir

“…[Display omitted] •We investigated leveraging patients’ temporal data for healthcare cost prediction.•Patients’ temporal data were extracted and represented in…”
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Temporal Pattern Detection to Predict Adverse Events in Critical Care: Case Study With Acute Kidney Injury by Morid, Mohammad Amin, Sheng, Olivia R Liu, Del Fiol, Guilherme, Facelli, Julio C, Bray, Bruce E, Abdelrahman, Samir

“…More than 20% of patients admitted to the intensive care unit (ICU) develop an adverse event (AE). No previous study has leveraged patients' data to extract…”
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Defending recommender systems by influence analysis by Morid, Mohammad Amin, Shajari, Mehdi, Hashemi, Ali Reza

“…Collaborative filtering (CF) is a popular method for personalizing product recommendations for e-commerce applications. In order to recommend a product to a…”
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A scoping review of transfer learning research on medical image analysis using ImageNet by Morid, Mohammad Amin, Borjali, Alireza, Del Fiol, Guilherme

“…Computers in Biology and Medicine, 128 (2021) Objective: Employing transfer learning (TL) with convolutional neural networks (CNNs), well-trained on…”
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Healthcare Cost Prediction: Leveraging Fine-grain Temporal Patterns by Morid, Mohammad Amin, Sheng, Olivia R. Liu, Kawamoto, Kensaku, Ault, Travis, Dorius, Josette, Abdelrahman, Samir

“…Journal of biomedical informatics, 91 (2019) Objective: To design and assess a method to leverage individuals' temporal data for predicting their healthcare…”
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Learning hidden patterns from patient multivariate time series data using convolutional neural networks: A case study of healthcare cost prediction by Morid, Mohammad Amin, Sheng, Olivia R. Liu, Kawamoto, Kensaku, Abdelrahman, Samir

“…[Display omitted] •Temporal patterns were extracted from patients’ temporal data for healthcare cost prediction.•A proposed convolutional neural network…”
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Supervised Learning Methods for Predicting Healthcare Costs: Systematic Literature Review and Empirical Evaluation by Morid, Mohammad Amin, Kawamoto, Kensaku, Ault, Travis, Dorius, Josette, Abdelrahman, Samir

“…An important informatics tool for controlling healthcare costs is accurately predicting the likely future healthcare costs of individuals. To address this…”
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Classification of clinically useful sentences in clinical evidence resources by Morid, Mohammad Amin, Fiszman, Marcelo, Raja, Kalpana, Jonnalagadda, Siddhartha R., Del Fiol, Guilherme

“…[Display omitted] •We investigated automated extraction of clinically useful sentences from UpToDate.•A Kernel-based Bayes Network classifier was applied on…”
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Automatic identification of high impact articles in PubMed to support clinical decision making by Bian, Jiantao, Morid, Mohammad Amin, Jonnalagadda, Siddhartha, Luo, Gang, Del Fiol, Guilherme

“…[Display omitted] •High impact clinical studies provide evidence influencing clinicians’ patient care.•An automated approach is proposed to classify high…”
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An enhanced e-commerce trust model for community based centralized systems by Morid, Mohammad Amin, Shajari, Mehdi

“…Conventional trust models cannot simultaneously fulfill three major requirements of community based centralized e-commerce systems having a large number of…”
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Leveraging Temporal Patient Data for Enhanced Healthcare Predictive Analytics by Morid, Mohammad Amin

“…Patient data are collected over time at varying time intervals to update patient status and to support medical decisions, leading to a wide variety of patient…”
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Classification of Clinically Useful Sentences in MEDLINE by Morid, Mohammad Amin, Jonnalagadda, Siddhartha, Fiszman, Marcelo, Raja, Kalpana, Del Fiol, Guilherme

“…In a previous study, we investigated a sentence classification model that uses semantic features to extract clinically useful sentences from UpToDate, a…”
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Time Series Prediction using Deep Learning Methods in Healthcare by Morid, Mohammad Amin, Sheng, Olivia R. Liu, Dunbar, Joseph

“…Traditional machine learning methods face two main challenges in dealing with healthcare predictive analytics tasks. First, the high-dimensional nature of…”
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Learning Hidden Patterns from Patient Multivariate Time Series Data Using Convolutional Neural Networks: A Case Study of Healthcare Cost Prediction by Morid, Mohammad Amin, Sheng, Olivia R. Liu, Kawamoto, Kensaku, Abdelrahman, Samir

“…Objective: To develop an effective and scalable individual-level patient cost prediction method by automatically learning hidden temporal patterns from…”
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PPMF: A Patient-based Predictive Modeling Framework for Early ICU Mortality Prediction by Morid, Mohammad Amin, Sheng, Olivia R. Liu, Abdelrahman, Samir

“…To date, developing a good model for early intensive care unit (ICU) mortality prediction is still challenging. This paper presents a patient based predictive…”
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Leveraging Patient Similarity and Time Series Data in Healthcare Predictive Models by Morid, Mohammad Amin, Sheng, Olivia R. Liu, Abdelrahman, Samir

“…Patient time series classification faces challenges in high degrees of dimensionality and missingness. In light of patient similarity theory, this study…”
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Trust Evaluation using an Improved Context Similarity Measurement by Raeesi, Mohsen, Morid, Mohammad Amin, Shajari, Mehdi

“…International Journal of Business Information Systems Strategies (IJBISS), Volume 3, Number 1, February 2014 In context-aware trust evaluation, using ontology…”
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An Enhanced Method for Computation of Similarity between the Contexts in Trust Evaluation Using Weighted Ontology by Morid, Mohammad Amin, Omidvar, Amin, Shahriari, Hamid Reza

“…In the context-aware trust evaluation, most of the times ontology trees are employed to represent the relation among contexts. Then, the similarity between two…”
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