133 related articles for article (PubMed ID: 36612458)
1. Evaluating Time Influence over Performance of Machine-Learning-Based Diagnosis: A Case Study of COVID-19 Pandemic in Brazil.
Marques JG; Guedes LA; da Costa Abreu MC
Int J Environ Res Public Health; 2022 Dec; 20(1):. PubMed ID: 36612458
[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. Clinical Features of Emergency Department Patients from Early COVID-19 Pandemic that Predict SARS-CoV-2 Infection: Machine-learning Approach.
Chou EH; Wang CH; Hsieh YL; Namazi B; Wolfshohl J; Bhakta T; Tsai CL; Lien WC; Sankaranarayanan G; Lee CC; Lu TC
West J Emerg Med; 2021 Mar; 22(2):244-251. PubMed ID: 33856307
[TBL] [Abstract][Full Text] [Related]
4. A new approach for determining SARS-CoV-2 epitopes using machine learning-based in silico methods.
Cihan P; Ozger ZB
Comput Biol Chem; 2022 Jun; 98():107688. PubMed ID: 35561658
[TBL] [Abstract][Full Text] [Related]
5. Role of biological Data Mining and Machine Learning Techniques in Detecting and Diagnosing the Novel Coronavirus (COVID-19): A Systematic Review.
Albahri AS; Hamid RA; Alwan JK; Al-Qays ZT; Zaidan AA; Zaidan BB; Albahri AOS; AlAmoodi AH; Khlaf JM; Almahdi EM; Thabet E; Hadi SM; Mohammed KI; Alsalem MA; Al-Obaidi JR; Madhloom HT
J Med Syst; 2020 May; 44(7):122. PubMed ID: 32451808
[TBL] [Abstract][Full Text] [Related]
6. Impact of the Covid-19 pandemic on the performance of machine learning algorithms for predicting perioperative mortality.
Andonov DI; Ulm B; Graessner M; Podtschaske A; Blobner M; Jungwirth B; Kagerbauer SM
BMC Med Inform Decis Mak; 2023 Apr; 23(1):67. PubMed ID: 37046259
[TBL] [Abstract][Full Text] [Related]
7. Prediction of death status on the course of treatment in SARS-COV-2 patients with deep learning and machine learning methods.
Kivrak M; Guldogan E; Colak C
Comput Methods Programs Biomed; 2021 Apr; 201():105951. PubMed ID: 33513487
[TBL] [Abstract][Full Text] [Related]
8. Explainable Machine Learning Model to Predict COVID-19 Severity Among Older Adults in the Province of Quebec.
Rahimi S; Chu C; Grad R; Karanofsky M; Arsenault M; Ronquillo C; Vedel I; McGilton K; Wilchesky M
Ann Fam Med; 2023 Jan; 21(21 Suppl 1):. PubMed ID: 36972530
[TBL] [Abstract][Full Text] [Related]
9. Clinical and Laboratory Approach to Diagnose COVID-19 Using Machine Learning.
Chadaga K; Chakraborty C; Prabhu S; Umakanth S; Bhat V; Sampathila N
Interdiscip Sci; 2022 Jun; 14(2):452-470. PubMed ID: 35133633
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. Prognosing the risk of COVID-19 death through a machine learning-based routine blood panel: A retrospective study in Brazil.
Araújo DC; Veloso AA; Borges KBG; Carvalho MDG
Int J Med Inform; 2022 Sep; 165():104835. PubMed ID: 35908372
[TBL] [Abstract][Full Text] [Related]
12. Effectiveness and cost-effectiveness of four different strategies for SARS-CoV-2 surveillance in the general population (CoV-Surv Study): a structured summary of a study protocol for a cluster-randomised, two-factorial controlled trial.
Deckert A; Anders S; de Allegri M; Nguyen HT; Souares A; McMahon S; Boerner K; Meurer M; Herbst K; Sand M; Koeppel L; Siems T; Brugnara L; Brenner S; Burk R; Lou D; Kirrmaier D; Duan Y; Ovchinnikova S; Marx M; Kräusslich HG; Knop M; Bärnighausen T; Denkinger C
Trials; 2021 Jan; 22(1):39. PubMed ID: 33419461
[TBL] [Abstract][Full Text] [Related]
13. Prediction Models for Public Health Containment Measures on COVID-19 Using Artificial Intelligence and Machine Learning: A Systematic Review.
Payedimarri AB; Concina D; Portinale L; Canonico M; Seys D; Vanhaecht K; Panella M
Int J Environ Res Public Health; 2021 Apr; 18(9):. PubMed ID: 33922693
[TBL] [Abstract][Full Text] [Related]
14. A machine learning approach to identify groups of patients with hematological malignant disorders.
Rodríguez-Belenguer P; Piñana JL; Sánchez-Montañés M; Soria-Olivas E; Martínez-Sober M; Serrano-López AJ
Comput Methods Programs Biomed; 2024 Apr; 246():108011. PubMed ID: 38325024
[TBL] [Abstract][Full Text] [Related]
15. Individual Factors Associated With COVID-19 Infection: A Machine Learning Study.
Ramírez-Del Real T; Martínez-García M; Márquez MF; López-Trejo L; Gutiérrez-Esparza G; Hernández-Lemus E
Front Public Health; 2022; 10():912099. PubMed ID: 35844896
[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. Prediction of Online Psychological Help-Seeking Behavior During the COVID-19 Pandemic: An Interpretable Machine Learning Method.
Liu H; Zhang L; Wang W; Huang Y; Li S; Ren Z; Zhou Z
Front Public Health; 2022; 10():814366. PubMed ID: 35309216
[TBL] [Abstract][Full Text] [Related]
18. Transfer learning-based ensemble support vector machine model for automated COVID-19 detection using lung computerized tomography scan data.
Singh M; Bansal S; Ahuja S; Dubey RK; Panigrahi BK; Dey N
Med Biol Eng Comput; 2021 Apr; 59(4):825-839. PubMed ID: 33738639
[TBL] [Abstract][Full Text] [Related]
19. A New Auto-Regressive Multi-Variable Modified Auto-Encoder for Multivariate Time-Series Prediction: A Case Study with Application to COVID-19 Pandemics.
de Oliveira EV; Aragão DP; Gonçalves LMG
Int J Environ Res Public Health; 2024 Apr; 21(4):. PubMed ID: 38673408
[TBL] [Abstract][Full Text] [Related]
20. A Comprehensive Study of Artificial Intelligence and Machine Learning Approaches in Confronting the Coronavirus (COVID-19) Pandemic.
Rahman MM; Khatun F; Uzzaman A; Sami SI; Bhuiyan MA; Kiong TS
Int J Health Serv; 2021 Oct; 51(4):446-461. PubMed ID: 33999732
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]