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PUBMED FOR HANDHELDS

Journal Abstract Search


706 related items for PubMed ID: 34943504

  • 41. Application of machine learning techniques in real-world research to predict the risk of liver metastasis in rectal cancer.
    Qiu B, Su XH, Qin X, Wang Q.
    Front Oncol; 2022; 12():1065468. PubMed ID: 36605425
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  • 42. Optimizing Skin Cancer Survival Prediction with Ensemble Techniques.
    Abbasi EY, Deng Z, Magsi AH, Ali Q, Kumar K, Zubedi A.
    Bioengineering (Basel); 2023 Dec 31; 11(1):. PubMed ID: 38247920
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  • 44. Assessing Children's Fine Motor Skills With Sensor-Augmented Toys: Machine Learning Approach.
    Brons A, de Schipper A, Mironcika S, Toussaint H, Schouten B, Bakkes S, Kröse B.
    J Med Internet Res; 2021 Apr 22; 23(4):e24237. PubMed ID: 33885371
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  • 47. An Integrated Machine Learning Approach for Congestive Heart Failure Prediction.
    Singh MS, Thongam K, Choudhary P, Bhagat PK.
    Diagnostics (Basel); 2024 Mar 29; 14(7):. PubMed ID: 38611649
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  • 48. Ensemble Model for Diagnostic Classification of Alzheimer's Disease Based on Brain Anatomical Magnetic Resonance Imaging.
    Khan YF, Kaushik B, Chowdhary CL, Srivastava G.
    Diagnostics (Basel); 2022 Dec 16; 12(12):. PubMed ID: 36553199
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  • 50. Human lung cancer classification and comprehensive analysis using different machine learning techniques.
    Priyadarshini K, Ali SA, Sivanandam K, Alagarsamy M.
    Microsc Res Tech; 2025 Jan 16; 88(1):234-250. PubMed ID: 39295255
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  • 56. Surgical Methods and Social Factors Are Associated With Long-Term Survival in Follicular Thyroid Carcinoma: Construction and Validation of a Prognostic Model Based on Machine Learning Algorithms.
    Mao Y, Huang Y, Xu L, Liang J, Lin W, Huang H, Li L, Wen J, Chen G.
    Front Oncol; 2022 Jan 16; 12():816427. PubMed ID: 35800057
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  • 57. Investigation on explainable machine learning models to predict chronic kidney diseases.
    Ghosh SK, Khandoker AH.
    Sci Rep; 2024 Feb 14; 14(1):3687. PubMed ID: 38355876
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  • 60. Machine learning-based prediction of cerebral hemorrhage in patients with hemodialysis: A multicenter, retrospective study.
    Li F, Chen A, Li Z, Gu L, Pan Q, Wang P, Fan Y, Feng J.
    Front Neurol; 2023 Feb 14; 14():1139096. PubMed ID: 37077571
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