Transcriptomic analysis and machine learning have identified shared diagnostic genes and a possible mechanism linking bipolar disorder and epilepsy. [PDF]
Medicine (Baltimore)Zhang Y, Xu Y, Huo C.
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A WATERFALL MODEL FOR KNOWLEDGE MANAGEMENT AND EXPERIENCE MANAGEMENT. [PDF]
International Journal of Advanced Research, 2019 openaire +1 more source
A multi-omics approach elucidates the link between artificial food colorings and common cancers. [PDF]
Front NutrFeng X, Luo B, Ding M, Liu X.
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Associations of blood cell indices with the risk of ankylosing spondylitis: A retrospective case-control and machine learning modeling study. [PDF]
SAGE Open MedHe R +10 more
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Prediction of under-five mortality using supervised machine learning algorithms in the 23 sub-Sharan African countries. [PDF]
Sci RepAsnake AA +9 more
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Calcium-related genes predict prognosis, immune characteristics, and response to immunotherapy in LUAD patients. [PDF]
Clin ProteomicsWei D, Liu C, Qin L, Ye F, Li J.
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Explainable multi-modal approach for uncovering key predictors of stroke-risk from ECG, EMG, blood pressure, and respiratory signals. [PDF]
Sci RepKrayem J, Wong L, Tham LK, Liang SN.
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Data-driven approach to elucidate the correlation between photocatalytic activity and rate constants from excited states. [PDF]
Chem SciKunisada R +12 more
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An interpretable machine learning model for detecting vision-threatening diabetic retinopathy among patients with diabetic retinopathy: a web-based cross-sectional study. [PDF]
Front Endocrinol (Lausanne)Song M, Shi Y.
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Urinary metabolite signatures to detect and differentiate graft injury in kidney transplant patients. [PDF]
iScienceDong C +5 more
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