703 related articles for article (PubMed ID: 36868685)
1. Benchmarking of Machine Learning classifiers on plasma proteomic for COVID-19 severity prediction through interpretable artificial intelligence.
Dimitsaki S; Gavriilidis GI; Dimitriadis VK; Natsiavas P
Artif Intell Med; 2023 Mar; 137():102490. PubMed ID: 36868685
[TBL] [Abstract][Full Text] [Related]
2. A new hybrid ensemble machine-learning model for severity risk assessment and post-COVID prediction system.
Shakhovska N; Yakovyna V; Chopyak V
Math Biosci Eng; 2022 Apr; 19(6):6102-6123. PubMed ID: 35603393
[TBL] [Abstract][Full Text] [Related]
3. Development and Validation of a Robust and Interpretable Early Triaging Support System for Patients Hospitalized With COVID-19: Predictive Algorithm Modeling and Interpretation Study.
Baek S; Jeong YJ; Kim YH; Kim JY; Kim JH; Kim EY; Lim JK; Kim J; Kim Z; Kim K; Chung MJ
J Med Internet Res; 2024 Jan; 26():e52134. PubMed ID: 38206673
[TBL] [Abstract][Full Text] [Related]
4. Comparing machine learning algorithms to predict COVID‑19 mortality using a dataset including chest computed tomography severity score data.
Zakariaee SS; Naderi N; Ebrahimi M; Kazemi-Arpanahi H
Sci Rep; 2023 Jul; 13(1):11343. PubMed ID: 37443373
[TBL] [Abstract][Full Text] [Related]
5. CVD22: Explainable artificial intelligence determination of the relationship of troponin to D-Dimer, mortality, and CK-MB in COVID-19 patients.
Kırboğa KK; Küçüksille EU; Naldan ME; Işık M; Gülcü O; Aksakal E
Comput Methods Programs Biomed; 2023 May; 233():107492. PubMed ID: 36965300
[TBL] [Abstract][Full Text] [Related]
6. Rapid Triage of Children with Suspected COVID-19 Using Laboratory-Based Machine-Learning Algorithms.
Dobrijević D; Vilotijević-Dautović G; Katanić J; Horvat M; Horvat Z; Pastor K
Viruses; 2023 Jul; 15(7):. PubMed ID: 37515208
[TBL] [Abstract][Full Text] [Related]
7. A COVID-19 Pandemic Artificial Intelligence-Based System With Deep Learning Forecasting and Automatic Statistical Data Acquisition: Development and Implementation Study.
Yu CS; Chang SS; Chang TH; Wu JL; Lin YJ; Chien HF; Chen RJ
J Med Internet Res; 2021 May; 23(5):e27806. PubMed ID: 33900932
[TBL] [Abstract][Full Text] [Related]
8. A machine learning approach for predicting high risk hospitalized patients with COVID-19 SARS-Cov-2.
Bottrighi A; Pennisi M; Roveta A; Massarino C; Cassinari A; Betti M; Bolgeo T; Bertolotti M; Rava E; Maconi A
BMC Med Inform Decis Mak; 2022 Dec; 22(1):340. PubMed ID: 36578017
[TBL] [Abstract][Full Text] [Related]
9. Explanatory predictive model for COVID-19 severity risk employing machine learning, shapley addition, and LIME.
Laatifi M; Douzi S; Ezzine H; Asry CE; Naya A; Bouklouze A; Zaid Y; Naciri M
Sci Rep; 2023 Apr; 13(1):5481. PubMed ID: 37015978
[TBL] [Abstract][Full Text] [Related]
10. Machine learning algorithms for outcome prediction in (chemo)radiotherapy: An empirical comparison of classifiers.
Deist TM; Dankers FJWM; Valdes G; Wijsman R; Hsu IC; Oberije C; Lustberg T; van Soest J; Hoebers F; Jochems A; El Naqa I; Wee L; Morin O; Raleigh DR; Bots W; Kaanders JH; Belderbos J; Kwint M; Solberg T; Monshouwer R; Bussink J; Dekker A; Lambin P
Med Phys; 2018 Jul; 45(7):3449-3459. PubMed ID: 29763967
[TBL] [Abstract][Full Text] [Related]
11. Ensemble machine learning model trained on a new synthesized dataset generalizes well for stress prediction using wearable devices.
Vos G; Trinh K; Sarnyai Z; Rahimi Azghadi M
J Biomed Inform; 2023 Dec; 148():104556. PubMed ID: 38048895
[TBL] [Abstract][Full Text] [Related]
12. An original deep learning model using limited data for COVID-19 discrimination: A multicenter study.
Xu F; Lou K; Chen C; Chen Q; Wang D; Wu J; Zhu W; Tan W; Zhou Y; Liu Y; Wang B; Zhang X; Zhang Z; Zhang J; Sun M; Zhang G; Dai G; Hu H
Med Phys; 2022 Jun; 49(6):3874-3885. PubMed ID: 35305027
[TBL] [Abstract][Full Text] [Related]
13. Development and evaluation of a machine learning-based in-hospital COVID-19 disease outcome predictor (CODOP): A multicontinental retrospective study.
Klén R; Purohit D; Gómez-Huelgas R; Casas-Rojo JM; Antón-Santos JM; Núñez-Cortés JM; Lumbreras C; Ramos-Rincón JM; García Barrio N; Pedrera-Jiménez M; Lalueza Blanco A; Martin-Escalante MD; Rivas-Ruiz F; Onieva-García MÁ; Young P; Ramirez JI; Titto Omonte EE; Gross Artega R; Canales Beltrán MT; Valdez PR; Pugliese F; Castagna R; Huespe IA; Boietti B; Pollan JA; Funke N; Leiding B; Gómez-Varela D
Elife; 2022 May; 11():. PubMed ID: 35579324
[TBL] [Abstract][Full Text] [Related]
14. Prediction and Feature Importance Analysis for Severity of COVID-19 in South Korea Using Artificial Intelligence: Model Development and Validation.
Chung H; Ko H; Kang WS; Kim KW; Lee H; Park C; Song HO; Choi TY; Seo JH; Lee J
J Med Internet Res; 2021 Apr; 23(4):e27060. PubMed ID: 33764883
[TBL] [Abstract][Full Text] [Related]
15. Monitoring COVID-19 on Social Media: Development of an End-to-End Natural Language Processing Pipeline Using a Novel Triage and Diagnosis Approach.
Hasan A; Levene M; Weston D; Fromson R; Koslover N; Levene T
J Med Internet Res; 2022 Feb; 24(2):e30397. PubMed ID: 35142636
[TBL] [Abstract][Full Text] [Related]
16. Using Automated Machine Learning to Predict the Mortality of Patients With COVID-19: Prediction Model Development Study.
Ikemura K; Bellin E; Yagi Y; Billett H; Saada M; Simone K; Stahl L; Szymanski J; Goldstein DY; Reyes Gil M
J Med Internet Res; 2021 Feb; 23(2):e23458. PubMed ID: 33539308
[TBL] [Abstract][Full Text] [Related]
17. Artificial intelligence for diagnosis of mild-moderate COVID-19 using haematological markers.
Chadaga K; Prabhu S; Bhat V; Sampathila N; Umakanth S; Chadaga R
Ann Med; 2023 Dec; 55(1):2233541. PubMed ID: 37436038
[TBL] [Abstract][Full Text] [Related]
18. Forecasting COVID-19 spreading through an ensemble of classical and machine learning models: Spain's case study.
Heredia Cacha I; Sáinz-Pardo Díaz J; Castrillo M; López García Á
Sci Rep; 2023 Apr; 13(1):6750. PubMed ID: 37185927
[TBL] [Abstract][Full Text] [Related]
19. Artificial Intelligence-Based Ensemble Learning Model for Prediction of Hepatitis C Disease.
Edeh MO; Dalal S; Dhaou IB; Agubosim CC; Umoke CC; Richard-Nnabu NE; Dahiya N
Front Public Health; 2022; 10():892371. PubMed ID: 35570979
[TBL] [Abstract][Full Text] [Related]
20. HGSORF: Henry Gas Solubility Optimization-based Random Forest for C-Section prediction and XAI-based cause analysis.
Islam MS; Awal MA; Laboni JN; Pinki FT; Karmokar S; Mumenin KM; Al-Ahmadi S; Rahman MA; Hossain MS; Mirjalili S
Comput Biol Med; 2022 Aug; 147():105671. PubMed ID: 35660327
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
