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Journal Abstract Search

290 related items for PubMed ID: 37142976

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  • 3. Comparison of Machine Learning Algorithms and Nomogram Construction for Diabetic Retinopathy Prediction in Type 2 Diabetes Mellitus Patients.
    Jiang W, Li Z.
    Ophthalmic Res; 2024; 67(1):537-548. PubMed ID: 39231456
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  • 5. Machine learning models predict triage levels, massive transfusion protocol activation, and mortality in trauma utilizing patients hemodynamics on admission.
    El-Menyar A, Naduvilekandy M, Asim M, Rizoli S, Al-Thani H.
    Comput Biol Med; 2024 Sep; 179():108880. PubMed ID: 39018880
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  • 6. Joint modeling strategy for using electronic medical records data to build machine learning models: an example of intracerebral hemorrhage.
    Tang J, Wang X, Wan H, Lin C, Shao Z, Chang Y, Wang H, Wu Y, Zhang T, Du Y.
    BMC Med Inform Decis Mak; 2022 Oct 25; 22(1):278. PubMed ID: 36284327
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  • 12. Machine learning-based dynamic prediction of lateral lymph node metastasis in patients with papillary thyroid cancer.
    Lai SW, Fan YL, Zhu YH, Zhang F, Guo Z, Wang B, Wan Z, Liu PL, Yu N, Qin HD.
    Front Endocrinol (Lausanne); 2022 Oct 25; 13():1019037. PubMed ID: 36299455
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  • 13. [Comparison of machine learning method and logistic regression model in prediction of acute kidney injury in severely burned patients].
    Tang CQ, Li JQ, Xu DY, Liu XB, Hou WJ, Lyu KY, Xiao SC, Xia ZF.
    Zhonghua Shao Shang Za Zhi; 2018 Jun 20; 34(6):343-348. PubMed ID: 29961290
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  • 14. Study on risk factors of diabetic peripheral neuropathy and establishment of a prediction model by machine learning.
    Lian X, Qi J, Yuan M, Li X, Wang M, Li G, Yang T, Zhong J.
    BMC Med Inform Decis Mak; 2023 Aug 02; 23(1):146. PubMed ID: 37533059
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  • 18. Establishment of a risk prediction model for olfactory disorders in patients with transnasal pituitary tumors by machine learning.
    Chen M, Li Y, Zhou S, Zou L, Yu L, Deng T, Rong X, Shao S, Wu J.
    Sci Rep; 2024 May 31; 14(1):12514. PubMed ID: 38822064
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