Clinical data analysis research on tuberculosis based on machine learning. [PDF]
Kang R, Liu H, Lei Q, Li T.
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Prognostic determinants and predictive modeling in higher-grade glioma patients receiving radiotherapy: a retrospective SEER-based study. [PDF]
Hao R, Jia Q, Mao X, Zhou T, Wang W.
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Application of deep learning-clinical baseline feature fusion model to predict postoperative mortality in elderly patients with hip fracture: a multicenter study. [PDF]
Hu J, Li E, Jin YP, Wu JK, Ni J.
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Machine learning combined with population pharmacokinetics: a hybrid model for predicting the plasma concentration of linezolid in critically ill pediatric patients. [PDF]
Zhang Y +7 more
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A Sensor-Aware Decoupled Learning Framework for Robust Multi-Scale Time-Series Forecasting in Oil Production Systems. [PDF]
Cheng G, Zhang W, Jin Z, Cai L.
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Construction and internal-external validation of a machine learning-based risk prediction model for multidrug resistance in ICU patients with acute exacerbation of chronic obstructive pulmonary disease. [PDF]
Gu Y, Xu W, Xu J, Sun Y, Xin J, Ma M.
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2NPLGBM: a genomic model that merges the strengths of classical and machine learning methods in genomic prediction. [PDF]
Osatohanmwen BE +3 more
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Machine learning models for predicting childhood anemia in Mozambique: analysis from national survey data. [PDF]
Gotine AREM, Victor A, Xavier SP.
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High-Accuracy Prediction of Chunmee Tea Grade via DeepSpectra Model and Near-Infrared Spectroscopy. [PDF]
Zhang Y, Ren M, Wu X, Wu B.
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