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Role of Computed Tomography in Predicting Programmed Death Ligand-1 Positivity in Gastric Adenocarcinoma
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102
Noninvasive diagnosis model for predicting significant liver inflammation in patients with chronic hepatitis B in the immune-tolerant phase
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103
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A prediction nomogram for residual after negative pressure aspiration for endogenic cesarean scar ectopic pregnancy: a retrospective study
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105
Uric acid to albumin ratio is a novel predictive marker for all-cause and cardiovascular death in diabetic patients: a prospective cohort study
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106
How to estimate the probability of a live birth after one or more complete IVF cycles? the development of a novel model in a single-center
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107
Multi-sequence MRI-based nomogram for prediction of human epidermal growth factor receptor 2 expression in breast cancer
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108
Prognostic evaluation of non-muscle invasive bladder cancer with P-CRP and its nomogram
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109
Prediction of the risk of 3-year chronic kidney disease among elderly people: a community-based cohort study
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110
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Nomogram model for decompressing craniectomy after mechanical thrombectomy in patients with acute ischemic stroke
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112
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113
Risk factors and early prediction of cardiorenal syndrome type 3 among acute kidney injury patients: a cohort study
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114
Establishing of a risk prediction model for metabolic dysfunction-associated steatotic liver disease: a retrospective cohort study
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115
Integrative analysis of 5-methylcytosine associated signature in papillary thyroid cancer
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116
Construction of a miR-15a-based risk prediction model for vascular calcification detection in patients undergoing hemodialysis
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117
Construction and validation of a prognostic model for NK/T-cell lymphoma based on random survival forest algorithm
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118
A Nomogram Based on Circulating Inflammatory Factors for Predicting Prognosis of Newly Diagnosed Multiple Myeloma Patients
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119
Development and validation of a nomogram for predicting cough variant asthma diagnosis
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120
A logistic regression model to predict long-term survival for borderline resectable pancreatic cancer patients with upfront surgery
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