Machine learning combined with Deep learning approach to forecast the onset of major cardiovascular events in NAFLD asymptomatic patients

被引：0

作者：

Cirella, A. ^{[1
]}

Sinatti, G. ^{[1
]}

Bracci, A. ^{[2
]}

Evangelista, L. ^{[2
]}

Bruno, P. ^{[3
]}

Santini, S. J. ^{[1
]}

Greco, G. ^{[3
]}

Guzzo, A. ^{[1
,2
,3
]}

Di Cesare, E. ^{[2
]}

Balsano, C. ^{[1
]}

机构：

[1] Univ Aquila, Dept Clin Med Life Hlth & Environm Sci MESVA, Laquila, Italy

[2] Univ Aquila, Dept Appl Clin Sci & Biotechnol, Laquila, Italy

[3] Univ Calabria, Arcavacata Di Rende, Italy

来源：

DIGESTIVE AND LIVER DISEASE | 2022年 / 54卷

关键词：

D O I：

10.1016/j.dld.2022.08.009

中图分类号：

R57 [消化系及腹部疾病];

学科分类号：

摘要：

OC-08

引用

页码：S168 / S168

页数：1

共 50 条

[41] Monthly Energy Consumption Forecast: A Deep Learning Approach
Berriel, Rodrigo F.
Lopes, Andre Texeira
Rodrigues, Alexandre
Varejao, Flavio Miguel
Oliveira-Santos, Thiago
2017 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), 2017, : 4283 - 4290
[42] Deep and Machine Learning Models to Forecast Photovoltaic Power Generation
Cantillo-Luna, Sergio
Moreno-Chuquen, Ricardo
Celeita, David
Anders, George
ENERGIES, 2023, 16 (10)
[43] Forecast of Solar Energy Production - A Deep Learning Approach
Zhang, Rui
Feng, Minwei
Zhang, Wei
Lu, Siyuan
Wang, Fei
2018 9TH IEEE INTERNATIONAL CONFERENCE ON BIG KNOWLEDGE (ICBK), 2018, : 73 - 82
[44] Machine learning using cardiovascular magnetic resonance to predict cardiovascular events in patients with acute myocarditis
Pfeffer, A.
Pezel, T.
Toupin, S.
Garot, P.
Hovasse, T.
Sanguineti, F.
Di Lena, C.
Renard, C.
Tribouilloy, C.
Hamzi, K.
Goncalves, T.
Dillinger, J. G.
Henry, P.
Bohbot, Y.
Garot, P.
EUROPEAN HEART JOURNAL, 2023, 44
[45] DEEP LEARNING-BASED ASSESSMENT OF BUILT ENVIRONMENT AND RISK OF MAJOR ADVERSE CARDIOVASCULAR EVENTS
Chen, Zhuo
Salerno, Pedro Rafael Vieira De Oliveira
Dazard, Jean-Eudes
Makhlouf, Mohamed
Bourges-Sevenier, Brendan
Moorthy, Skanda
Rajagopalan, Sanjay
Al-Kindi, Sadeer G.
JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY, 2024, 83 (13) : 1999 - 1999
[46] Machine learning models to predict onset of dementia: A label learning approach
Nori, Vijay S.
Hane, Christopher A.
Crown, William H.
Au, Rhoda
Burke, William J.
Sanghavi, Darshak M.
Bleicher, Paul
ALZHEIMERS & DEMENTIA-TRANSLATIONAL RESEARCH & CLINICAL INTERVENTIONS, 2019, 5 (01) : 918 - 925
[47] Interpretable Machine Learning to Forecast SEP Events for Solar Cycle 23
Kasapis, Spiridon
Zhao, Lulu
Chen, Yang
Wang, Xiantong
Bobra, Monica
Gombosi, Tamas
SPACE WEATHER-THE INTERNATIONAL JOURNAL OF RESEARCH AND APPLICATIONS, 2022, 20 (02):
[48] Deep Learning and Preference Learning for Object Tracking: A Combined Approach
Pang, Shuchao
Jose del Coz, Juan
Yu, Zhezhou
Luaces, Oscar
Diez, Jorge
NEURAL PROCESSING LETTERS, 2018, 47 (03) : 859 - 876
[49] Deep Learning and Preference Learning for Object Tracking: A Combined Approach
Shuchao Pang
Juan José del Coz
Zhezhou Yu
Oscar Luaces
Jorge Díez
Neural Processing Letters, 2018, 47 : 859 - 876
[50] Machine Learning Approach to Forecast Chemotherapy-Induced Haematological Toxicities in Patients with Rhabdomyosarcoma
Cuplov, Vesna
Andre, Nicolas
CANCERS, 2020, 12 (07) : 1 - 13

← 1 2 3 4 5 →