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Possible role of artificial intelligence in diagnosis of cases with non-specific signs and symptoms of dengue: A comment.

作者信息

Tovani-Palone Marcos Roberto, Bistagnino Filippo, Antonino Jacopo Rosso, Subramanian Arunkumar

机构信息

Department of Pharmacy and Pharmacology, SRM College of Pharmacy, SRM Institute of Science and Technology, Kattankulathur, Chennai, India.

Department of Medical Biotechnology and Translational Medicine, International Medical School, Università degli Studi di Milano, Milan, Italy.

出版信息

Clinics (Sao Paulo). 2024 May 15;79:100388. doi: 10.1016/j.clinsp.2024.100388. eCollection 2024.

DOI:10.1016/j.clinsp.2024.100388
PMID:38754223
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11126762/
Abstract
摘要

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本文引用的文献

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A reproducible ensemble machine learning approach to forecast dengue outbreaks.一种可重现的集成机器学习方法，用于预测登革热疫情。
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2
Artificial Intelligence Approach for Severe Dengue Early Warning System.人工智能在重症登革热预警系统中的应用。
Stud Health Technol Inform. 2024 Jan 25;310:881-885. doi: 10.3233/SHTI231091.
3
Meteorological factors cannot be ignored in machine learning-based methods for predicting dengue, a systematic review.基于机器学习的登革热预测方法中，气象因素不容忽视：一项系统评价。
Int J Biometeorol. 2024 Mar;68(3):401-410. doi: 10.1007/s00484-023-02605-1. Epub 2023 Dec 27.
4
Dengue "homegrown" in Europe (2022 to 2023).2022年至2023年在欧洲本土出现的登革热。
New Microbes New Infect. 2023 Nov 23;56:101205. doi: 10.1016/j.nmni.2023.101205. eCollection 2024 Jan.
5
Dengue is spreading in Europe: how worried should we be?登革热正在欧洲蔓延：我们应该有多担心？
Nature. 2023 Oct 31. doi: 10.1038/d41586-023-03407-6.
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An Integrative Explainable Artificial Intelligence Approach to Analyze Fine-Scale Land-Cover and Land-Use Factors Associated with Spatial Distributions of Place of Residence of Reported Dengue Cases.一种用于分析与登革热报告病例居住地空间分布相关的精细尺度土地覆盖和土地利用因素的综合可解释人工智能方法。
Trop Med Infect Dis. 2023 Apr 20;8(4):238. doi: 10.3390/tropicalmed8040238.
7
Artificial intelligence in differentiating tropical infections: A step ahead.人工智能在热带传染病鉴别中的应用：向前迈进了一步。
PLoS Negl Trop Dis. 2022 Jun 30;16(6):e0010455. doi: 10.1371/journal.pntd.0010455. eCollection 2022 Jun.
8
Machine-Learning-Based Forecasting of Dengue Fever in Brazilian Cities Using Epidemiologic and Meteorological Variables.基于机器学习的巴西城市登革热预测：利用流行病学和气象变量。
Am J Epidemiol. 2022 Sep 28;191(10):1803-1812. doi: 10.1093/aje/kwac090.
9
Predictive Models for the Medical Diagnosis of Dengue: A Case Study in Paraguay.预测登革热医学诊断的模型：以巴拉圭为例的案例研究。
Comput Math Methods Med. 2019 Jul 29;2019:7307803. doi: 10.1155/2019/7307803. eCollection 2019.
10
Unusual clinical manifestations of dengue disease - Real or imagined?登革热疾病的不常见临床表现——真实还是想象？
Acta Trop. 2019 Nov;199:105134. doi: 10.1016/j.actatropica.2019.105134. Epub 2019 Aug 12.