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PUBMED FOR HANDHELDS

Journal Abstract Search


1689 related items for PubMed ID: 34025952

  • 1. Artificial intelligence in clinical care amidst COVID-19 pandemic: A systematic review.
    Adamidi ES, Mitsis K, Nikita KS.
    Comput Struct Biotechnol J; 2021; 19():2833-2850. PubMed ID: 34025952
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  • 2. Machine learning and deep learning methods that use omics data for metastasis prediction.
    Albaradei S, Thafar M, Alsaedi A, Van Neste C, Gojobori T, Essack M, Gao X.
    Comput Struct Biotechnol J; 2021; 19():5008-5018. PubMed ID: 34589181
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  • 4. Multimodality radiomics prediction of radiotherapy-induced the early proctitis and cystitis in rectal cancer patients: a machine learning study.
    Abbaspour S, Barahman M, Abdollahi H, Arabalibeik H, Hajainfar G, Babaei M, Iraji H, Barzegartahamtan M, Ay MR, Mahdavi SR.
    Biomed Phys Eng Express; 2023 Dec 20; 10(1):. PubMed ID: 37995359
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  • 5. [Construction of a predictive model for in-hospital mortality of sepsis patients in intensive care unit based on machine learning].
    Zhu M, Hu C, He Y, Qian Y, Tang S, Hu Q, Hao C.
    Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2023 Jul 20; 35(7):696-701. PubMed ID: 37545445
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  • 6. Construction and validation of machine learning models for sepsis prediction in patients with acute pancreatitis.
    Liu F, Yao J, Liu C, Shou S.
    BMC Surg; 2023 Sep 01; 23(1):267. PubMed ID: 37658375
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  • 15. Artificial intelligence model on chest imaging to diagnose COVID-19 and other pneumonias: A systematic review and meta-analysis.
    Jia LL, Zhao JX, Pan NN, Shi LY, Zhao LP, Tian JH, Huang G.
    Eur J Radiol Open; 2022 Sep 01; 9():100438. PubMed ID: 35996746
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  • 16. Time series forecasting of new cases and new deaths rate for COVID-19 using deep learning methods.
    Ayoobi N, Sharifrazi D, Alizadehsani R, Shoeibi A, Gorriz JM, Moosaei H, Khosravi A, Nahavandi S, Gholamzadeh Chofreh A, Goni FA, Klemeš JJ, Mosavi A.
    Results Phys; 2021 Aug 01; 27():104495. PubMed ID: 34221854
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  • 17. An Ensemble Learning Model for COVID-19 Detection from Blood Test Samples.
    Abayomi-Alli OO, Damaševičius R, Maskeliūnas R, Misra S.
    Sensors (Basel); 2022 Mar 13; 22(6):. PubMed ID: 35336395
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  • 18. Eleven routine clinical features predict COVID-19 severity uncovered by machine learning of longitudinal measurements.
    Zhou K, Sun Y, Li L, Zang Z, Wang J, Li J, Liang J, Zhang F, Zhang Q, Ge W, Chen H, Sun X, Yue L, Wu X, Shen B, Xu J, Zhu H, Chen S, Yang H, Huang S, Peng M, Lv D, Zhang C, Zhao H, Hong L, Zhou Z, Chen H, Dong X, Tu C, Li M, Zhu Y, Chen B, Li SZ, Guo T.
    Comput Struct Biotechnol J; 2021 Mar 13; 19():3640-3649. PubMed ID: 34188785
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  • 20. Using Machine Learning to Predict Mortality for COVID-19 Patients on Day 0 in the ICU.
    Jamshidi E, Asgary A, Tavakoli N, Zali A, Setareh S, Esmaily H, Jamaldini SH, Daaee A, Babajani A, Sendani Kashi MA, Jamshidi M, Jamal Rahi S, Mansouri N.
    Front Digit Health; 2021 Mar 13; 3():681608. PubMed ID: 35098205
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