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Published in 2018 at "Expert Review of Medical Devices"
DOI: 10.1080/17434440.2018.1473033
Abstract: ABSTRACT Introduction: 3D-printed anatomical models play an important role in medical and research settings. The recent successes of 3D anatomical models in healthcare have led many institutions to adopt the technology. However, there remain several…
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Keywords:
machine;
machine learning;
potential machine;
learning algorithms ... See more keywords
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Published in 2019 at "Future cardiology"
DOI: 10.2217/fca-2019-0056
Abstract: Aim: Nonvalvular atrial fibrillation (NVAF) is associated with an increased risk of stroke however many patients are diagnosed after onset. This study assessed the potential of machine-learning algorithms to detect NVAF. Materials & methods: A…
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Keywords:
atrial fibrillation;
machine;
machine learning;
potential machine ... See more keywords
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Published in 2022 at "Frontiers in Pharmacology"
DOI: 10.3389/fphar.2022.928527
Abstract: Recent advances in deep learning, natural language processing, and information retrieval show great potential for enhancing the knowledge and processes in the fields of pharmacogenetics, pharmacogenomics, and pharmacoepidemiology. These techniques allow for the unprecedented analysis…
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Keywords:
editorial potential;
pharmacogenetics pharmacogenomics;
machine learning;
pharmacogenomics pharmacoepidemiology ... See more keywords