用于生物医学应用的机器学习
Machine Learning for Biomedical Applications.
作者信息
Cesarelli Giuseppe, Ponsiglione Alfonso Maria, Sansone Mario, Amato Francesco, Donisi Leandro, Ricciardi Carlo
机构信息
Department of Electrical Engineering and Information Technology, University of Naples Federico II, Via Claudio 21, 80125 Naples, Italy.
Department of Advanced Medical and Surgical Sciences, University of Campania Luigi Vanvitelli, Via De Crecchio 7, 80138 Naples, Italy.
出版信息
Bioengineering (Basel). 2024 Aug 5;11(8):790. doi: 10.3390/bioengineering11080790.
Abstract
Machine learning (ML) is a field of artificial intelligence that uses algorithms capable of extracting knowledge directly from data that could support decisions in multiple fields of engineering [...].
摘要
机器学习（ML）是人工智能的一个领域，它使用能够直接从数据中提取知识的算法，这些知识可支持多个工程领域中的决策[……]。
相似文献
1
Machine Learning for Biomedical Applications.用于生物医学应用的机器学习
Bioengineering (Basel). 2024 Aug 5;11(8):790. doi: 10.3390/bioengineering11080790.
2
Involvement of Machine Learning Tools in Healthcare Decision Making.机器学习工具在医疗保健决策中的应用。
J Healthc Eng. 2021 Jan 27;2021:6679512. doi: 10.1155/2021/6679512. eCollection 2021.
3
Artificial intelligence and machine learning | applications in musculoskeletal physiotherapy.人工智能和机器学习 | 在肌肉骨骼物理治疗中的应用。
Musculoskelet Sci Pract. 2019 Feb;39:164-169. doi: 10.1016/j.msksp.2018.11.012. Epub 2018 Nov 23.
4
The use of machine learning and artificial intelligence within pediatric critical care.机器学习和人工智能在儿科重症监护中的应用。
Pediatr Res. 2023 Jan;93(2):405-412. doi: 10.1038/s41390-022-02380-6. Epub 2022 Nov 14.
5
Applications of artificial intelligence and machine learning approaches in echocardiography.人工智能和机器学习方法在超声心动图中的应用。
Echocardiography. 2021 Jun;38(6):982-992. doi: 10.1111/echo.15048. Epub 2021 May 13.
6
New Machine Learning Applications to Accelerate Personalized Medicine in Breast Cancer: Rise of the Support Vector Machines.新的机器学习应用程序加速乳腺癌个体化医学：支持向量机的兴起。
OMICS. 2020 May;24(5):241-246. doi: 10.1089/omi.2020.0001. Epub 2020 Mar 31.
7
Shallow and deep learning classifiers in medical image analysis.医学图像分析中的浅层和深度学习分类器。
Eur Radiol Exp. 2024 Mar 5;8(1):26. doi: 10.1186/s41747-024-00428-2.
8
[Applications of machine learning in clinical decision support in the omic era].[机器学习在组学时代临床决策支持中的应用]
Yi Chuan. 2018 Sep 20;40(9):693-703. doi: 10.16288/j.yczz.18-139.
9
Artificial intelligence in spine care: current applications and future utility.人工智能在脊柱护理中的应用：当前的应用和未来的效用。
Eur Spine J. 2022 Aug;31(8):2057-2081. doi: 10.1007/s00586-022-07176-0. Epub 2022 Mar 27.
10
Emerging applications of machine learning in genomic medicine and healthcare.机器学习在基因组医学和医疗保健中的新兴应用。
Crit Rev Clin Lab Sci. 2024 Mar;61(2):140-163. doi: 10.1080/10408363.2023.2259466. Epub 2023 Oct 10.
引用本文的文献
1
Retrospective cohort study of infection and risk stratification using 6-year UBT data.利用6年尿素呼气试验（UBT）数据进行感染与风险分层的回顾性队列研究。
Front Public Health. 2025 May 26;13:1563841. doi: 10.3389/fpubh.2025.1563841. eCollection 2025.
2
Identification of Gingival Inflammation Surface Image Features Using Intraoral Scanning and Deep Learning.使用口腔内扫描和深度学习识别牙龈炎症表面图像特征
Int Dent J. 2025 Jun;75(3):2104-2114. doi: 10.1016/j.identj.2025.01.002. Epub 2025 Jan 27.
本文引用的文献
1
Combined mechanistic modeling and machine-learning approaches in systems biology - A systematic literature review.系统生物学中基于机制模型和机器学习方法的结合——系统文献综述。
Comput Methods Programs Biomed. 2023 Oct;240:107681. doi: 10.1016/j.cmpb.2023.107681. Epub 2023 Jun 17.
2
Understanding the Role of Connectivity Dynamics of Resting-State Functional MRI in the Diagnosis of Autism Spectrum Disorder: A Comprehensive Study.了解静息态功能磁共振成像的连接动力学在自闭症谱系障碍诊断中的作用：一项综合研究。
Bioengineering (Basel). 2023 Jan 2;10(1):56. doi: 10.3390/bioengineering10010056.
3
Machine Learning Approaches with Textural Features to Calculate Breast Density on Mammography.基于纹理特征的机器学习方法计算乳腺 X 线摄影中的乳腺密度。
Curr Oncol. 2023 Jan 7;30(1):839-853. doi: 10.3390/curroncol30010064.
4
Artificial Intelligence for Detecting and Quantifying Fatty Liver in Ultrasound Images: A Systematic Review.用于检测和量化超声图像中脂肪肝的人工智能：一项系统综述。
Bioengineering (Basel). 2022 Dec 1;9(12):748. doi: 10.3390/bioengineering9120748.
5
Automated Lung-Related Pneumonia and COVID-19 Detection Based on Novel Feature Extraction Framework and Vision Transformer Approaches Using Chest X-ray Images.基于新型特征提取框架和视觉Transformer方法的胸部X光图像自动肺部相关肺炎和新冠肺炎检测
Bioengineering (Basel). 2022 Nov 18;9(11):709. doi: 10.3390/bioengineering9110709.
6
A Surrogate Model Based on a Finite Element Model of Abdomen for Real-Time Visualisation of Tissue Stress during Physical Examination Training.一种基于腹部有限元模型的替代模型，用于体格检查训练期间组织应力的实时可视化。
Bioengineering (Basel). 2022 Nov 14;9(11):687. doi: 10.3390/bioengineering9110687.
7
Level-Set-Based Kidney Segmentation from DCE-MRI Using Fuzzy Clustering with Population-Based and Subject-Specific Shape Statistics.基于水平集的动态对比增强磁共振成像肾脏分割：使用基于总体和个体形状统计的模糊聚类方法
Bioengineering (Basel). 2022 Nov 5;9(11):654. doi: 10.3390/bioengineering9110654.
8
A Bioinformatics View on Acute Myeloid Leukemia Surface Molecules by Combined Bayesian and ABC Analysis.基于贝叶斯分析与近似贝叶斯计算联合分析的急性髓系白血病表面分子的生物信息学视角
Bioengineering (Basel). 2022 Nov 3;9(11):642. doi: 10.3390/bioengineering9110642.
9
A Study of Projection-Based Attentive Spatial-Temporal Map for Remote Photoplethysmography Measurement.基于投影的注意力时空图用于远程光电容积脉搏波描记法测量的研究
Bioengineering (Basel). 2022 Nov 2;9(11):638. doi: 10.3390/bioengineering9110638.
10
Feature-Classifier Pairing Compatibility for sEMG Signals in Hand Gesture Recognition under Joint Effects of Processing Procedures.在处理程序联合作用下，用于手势识别的表面肌电信号的特征 - 分类器配对兼容性
Bioengineering (Basel). 2022 Nov 2;9(11):634. doi: 10.3390/bioengineering9110634.
Zotero 插件