Uniqueness of radiomic features in non‐small cell lung cancer
Journal of Applied Clinical Medical Physics, Volume 23, Issue 12, December 2022., 2022 Abstract Purpose The uniqueness of radiomic features, combined with their reproducibility, determines the reliability of radiomic studies. This study is to test the hypothesis that radiomic features extracted from a defined region of interest (ROI) are unique to the underlying structure (e.g., tumor). Approach Two cohorts of non‐small cell lung cancer (
Gary Ge, Jie Zhang
wiley +1 more source
Multiple sclerosis clinical decision support system based on projection to reference datasets
Annals of Clinical and Translational Neurology, Volume 9, Issue 12, Page 1863-1873, December 2022., 2022 Abstract Objective Multiple sclerosis (MS) is a multifactorial disease with increasingly complicated management. Our objective is to use on‐demand computational power to address the challenges of dynamically managing MS. Methods A phase 3 clinical trial data (NCT00906399) were used to contextualize the medication efficacy of peg‐interferon beta‐1a vs ...
Chadia Ed‐driouch +13 more
wiley +1 more source
Trend Publication of Computational Thinking in Mathematics Education: Bibliometric Review [PDF]
, 2023 Computational thinking and mathematics are closely related, namely mathematics plays a role in overcoming challenges and understanding concepts in computational thinking, while computational thinking ultimately simplifies and abstracts situations by ...
Andari, Tri +4 more
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Analytical and numerical treatment of oscillatory mixed differential equations with differentiable delays and advances [PDF]
, 2011 NOTICE: this is the author’s version of a work that was accepted for publication in Journal of computational and applied mathematics. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and ...
Baker +15 more
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Analytical and numerical investigation of mixed-type functional differential equations [PDF]
, 2010 NOTICE: this is the author’s version of a work that was accepted for publication in Journal of computational and applied mathematics. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and ...
Ford, Neville J. +3 more
core +1 more source
The numerical solution of forward–backward differential equations: Decomposition and related issues [PDF]
, 2010 NOTICE: this is the author’s version of a work that was accepted for publication in Journal of computational and applied mathematics. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and ...
Abell +19 more
core +1 more source
An algorithm to detect small solutions in linear delay differential equations [PDF]
, 2006 This is a PDF version of a preprint submitted to Elsevier. The definitive version was published in the Journal of computational and applied mathematics and is available at www.elsevier.comThis preprint discusses an algorithm that provides a simple ...
Ford, Neville J., Lumb, Patricia M.
core +1 more source
The Implementation of Computational Thinking on Mathematics Learning Research: A Systematic Literature Review [PDF]
, 2023 The aim of this study is to describe the implementation of computational thinking research results on mathematics learning in Indonesia. The method used in this study is a systematic literature review (SLR) by using PRISMA (Preferred Reporting Items for ...
Juandi, Dadang, Mukhibin, Ahmad
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Mixed-type functional differential equations: A numerical approach [PDF]
, 2009 This is a PDF version of a preprint submitted to Elsevier. The definitive version was published in Journal of computational and applied mathematics and is available at www.elsevier.comThis preprint discusses mixed-type functional ...
Ford, Neville J., Lumb, Patricia M.
core +1 more source
Stochastic ordinary differential equations in applied and computational mathematics [PDF]
, 2011 Using concrete examples, we discuss the current and potential use of stochastic ordinary differential equations (SDEs) from the perspective of applied and computational mathematics.
Higham, Desmond
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