A machine learning approach for predicting high risk hospitalized patients with COVID-19 SARS-Cov-2

被引：0
作者：
Alessio Bottrighi
Marzio Pennisi
Annalisa Roveta
Costanza Massarino
Antonella Cassinari
Marta Betti
Tatiana Bolgeo
Marinella Bertolotti
Emanuele Rava
Antonio Maconi
机构：
[1] DISIT,
[2] Computer Science Institute,undefined
[3] Università del Piemonte Orientale,undefined
[4] AI@UPO,undefined
[5] Università del Piemonte Orientale,undefined
[6] Research Laboratory Facility,undefined
[7] Research and Innovation Department,undefined
[8] Azienda Ospedaliera “SS Antonio e Biagio e Cesare Arrigo”,undefined
[9] Research Training Innovation Infrastructure,undefined
[10] Research and Innovation Department,undefined
[11] Azienda Ospedaliera “SS Antonio e Biagio e Cesare Arrigo”,undefined
[12] DISIT,undefined
[13] Università del Piemonte Orientale,undefined
来源：
BMC Medical Informatics and Decision Making | / 22卷
关键词：
COVID-19; Machine learning; Explainability; Patient risk prediction;
D O I：
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摘要：
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[1]  
Lwakatare LE(2020)Large-scale machine learning systems in real-world industrial settings: A review of challenges and solutions Inf Softw Technol 127 116-91
[2]  
Raj A(2007)Machine learning and its applications to biology PLoS Comput Biol 3 71-624
[3]  
Crnkovic I(2019)Machine learning for integrating data in biology and medicine: Principles, practice, and opportunities Inf Fus 50 604-52
[4]  
Bosch J(2021)Autonomous driving architectures: insights of machine learning and deep learning algorithms Mach Learn Appl 6 1253-506
[5]  
Olsson HH(2021)A survey of the usages of deep learning for natural language processing IEEE Trans Neural Netw Learn Syst 32 1-16
[6]  
Tarca AL(2018)Deep learning for sentiment analysis: a survey Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 8 497-422
[7]  
Carey VJ(2020)The novel coronavirus outbreak in Wuhan China Global Health Res Policy 913 12-583
[8]  
wen Chen X(2021)Non-pharmaceutical interventions during the COVID-19 pandemic: a review Phys Rep 395 420-154113
[9]  
Romero R(2020)The prevalence of symptoms in 24,410 adults infected by the novel coronavirus (SARS-CoV-2; COVID-19): a systematic review and meta-analysis of 148 studies from 9 countries PLoS ONE 54 580-381
[10]  
Drǎghici S(2020)Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China Lancet 8 154096-383
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