Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Mohammad Amin Morid"'
Publikováno v:
ACM Transactions on Management Information Systems. 14:1-29
Traditional machine learning methods face unique challenges when applied to healthcare predictive analytics. The high-dimensional nature of healthcare data necessitates labor-intensive and time-consuming processes when selecting an appropriate set of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::966d2795d48b362b30a66ac7cdbf0575
https://doi.org/10.1145/3531326
https://doi.org/10.1145/3531326
Publikováno v:
Journal of biomedical informatics. 119
Step-up therapy is a patient management approach that aims to balance the efficacy, costs and risks posed by different lines of medications. While the initiation of first line medications is a straightforward decision, stepping-up a patient to the ne
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::010b9a31946d486402d812362179a2fc
https://pubmed.ncbi.nlm.nih.gov/34146718
https://pubmed.ncbi.nlm.nih.gov/34146718
Autor:
Alireza Borjali, Hany Bedair, Kartik M. Varadarajan, Orhun K. Muratoglu, Christopher M. Melnic, Antonia F. Chen, Mohammad Amin Morid
Publikováno v:
Medical physicsREFERENCES. 48(5)
Purpose A crucial step in the preoperative planning for a revision total hip replacement (THR) surgery is the accurate identification of the failed implant design, especially if one or more well-fixed/functioning components are to be retained. Manual
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4b4bf6df2349b8d8a5106bdd35c42de5
https://pubmed.ncbi.nlm.nih.gov/33411949
https://pubmed.ncbi.nlm.nih.gov/33411949
Autor:
Travis Ault, Olivia R. Liu Sheng, Josette Dorius, Samir E. AbdelRahman, Kensaku Kawamoto, Mohammad Amin Morid
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 their fine-grain form as opposed to coarse-grain form. Second, we devised novel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::283003e3cd9f994f3ac4aca76c149485
http://arxiv.org/abs/2009.06780
http://arxiv.org/abs/2009.06780
Autor:
Alireza Borjali, Orhun K. Muratoglu, Hany Bedair, Antonia F. Chen, Christopher M. Melnic, Kartik M. Varadarajan, Mohammad Amin Morid
A crucial step in preoperative planning for a revision total hip replacement (THR) surgery is accurate identification of failed implant design, especially if one or more well-fixed/functioning components are to be retained. Manual identification of t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bff6d64474ac28392b867660da79e3de
Autor:
Orhun K. Muratoglu, Kartik M. Varadarajan, Alireza Borjali, Mohammad Amin Morid, Antonia F. Chen
Publikováno v:
Healthcare Transformation.
The paradigm of manual radiological assessment in orthopedics is at the point of significant disruption due to major breakthroughs in deep learning algorithms and computational power. Deep learning...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::031f15599b4e149a3e6aae368d5d27ac
https://doi.org/10.1089/heat.2019.0006
https://doi.org/10.1089/heat.2019.0006
Publikováno v:
Journal of Biomedical Informatics. 73:95-103
Objectives The practice of evidence-based medicine involves integrating the latest best available evidence into patient care decisions. Yet, critical barriers exist for clinicians’ retrieval of evidence that is relevant for a particular patient fro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::494c0d5ff83f2df71ee4fbc8d7b834f8
https://doi.org/10.1016/j.jbi.2017.07.015
https://doi.org/10.1016/j.jbi.2017.07.015
Autor:
Orhun K. Muratoglu, Kartik M. Varadarajan, Alireza Borjali, Mohammad Amin Morid, Antonia F. Chen
Identifying the design of a failed implant is a key step in the preoperative planning of revision total joint arthroplasty. Manual identification of the implant design from radiographic images is time-consuming and prone to error. Failure to identify
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e34d6a967c7ff90678885dad6c3b62fe
http://arxiv.org/abs/1911.12387
http://arxiv.org/abs/1911.12387
Autor:
Mohammad Amin Morid, Olivia R Liu Sheng, Guilherme Del Fiol, Julio C Facelli, Bruce E Bray, Samir Abdelrahman
BACKGROUND 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 the temporal features using their structural temporal patterns, that is, trends.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::17b070f1a57fb915688fe7817f57dbfd
https://doi.org/10.2196/preprints.14272
https://doi.org/10.2196/preprints.14272
Publikováno v:
Computers in Biology and Medicine. 128:104115
Objective Employing transfer learning (TL) with convolutional neural networks (CNNs), well-trained on non-medical ImageNet dataset, has shown promising results for medical image analysis in recent years. We aimed to conduct a scoping review to identi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9adf880fcbd6a94fab00ab26356d3d55
https://doi.org/10.1016/j.compbiomed.2020.104115
https://doi.org/10.1016/j.compbiomed.2020.104115