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   Articles with "similar patients" as a keyword



On the feasibility of automatically selecting similar patients in highly individualized radiotherapy dose reconstruction for historic data of pediatric cancer survivors

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recommendations! Published in 2018 at "Medical Physics"

DOI: 10.1002/mp.12802

Abstract: PURPOSE The aim of this study is to establish the first step toward a novel and highly individualized three-dimensional (3D) dose distribution reconstruction method, based on CT scans and organ delineations of recently treated patients.… read more here.

Keywords: reconstruction; selecting similar; feasibility automatically; highly individualized ... See more keywords

Using similar patients to predict complication in patients with diabetes, hypertension, and lipid disorder: a domain knowledge-infused convolutional neural network approach

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recommendations! Published in 2022 at "Journal of the American Medical Informatics Association : JAMIA"

DOI: 10.1093/jamia/ocac212

Abstract: Abstract Objective This study aims to develop a convolutional neural network-based learning framework called domain knowledge-infused convolutional neural network (DK-CNN) for retrieving clinically similar patient and to personalize the prediction of macrovascular complication using the… read more here.

Keywords: neural network; domain knowledge; complication; similar patients ... See more keywords

Abstract 4366728: Proteomics analysis identifies sub-phenotypes amongst clinically similar patients with Idiopathic Pulmonary Arterial Hypertension

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recommendations! Published in 2025 at "Circulation"

DOI: 10.1161/circ.152.suppl_3.4366728

Abstract: Background: Patients with idiopathic pulmonary arterial hypertension (IPAH), a progressive pulmonary vasculopathy, may be clinically similar, yet have different responses to therapy and outcomes. Understanding proteomic profiles that distinguish amongst clinically similar patients could improve… read more here.

Keywords: idiopathic pulmonary; clinically similar; similar patients; analysis ... See more keywords