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202
Machine Learning-Based predictive model for adolescent metabolic syndrome: Utilizing data from NHANES 2007–2016
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203
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204
ACCREDIT: Validation of clinical score for progression of COVID-19 while hospitalized
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205
High‐Precision Drop‐on‐Demand Printing of Charged Droplets on Nonplanar Surfaces with Machine Learning
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206
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207
External validation of the prediction model of intradialytic hypotension: a multicenter prospective cohort study
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208
Integrating AI into Cancer Immunotherapy—A Narrative Review of Current Applications and Future Directions
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209
Predicting purulent meningitis in very preterm infants: a novel clinical model
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210
Predicting survival rates: the power of prognostic nomograms in distal cholangiocarcinoma
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211
Predicting dengue incidence in high-risk areas of China through the integration of Southeast Asian and local meteorological factors
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212
A cycle-based model to predict no usable blastocyst formation following cycles of in vitro fertilization in patients with normal ovarian reserve
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213
The clinical features and risk factors of coagulopathy associated with cefoperazone/sulbactam: a nomogram prediction model
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214
Machine learning for the diagnosis accuracy of bipolar disorder: a systematic review and meta-analysis
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215
Construction and Validation of a Model for Predicting Fear of Childbirth: A Cross-Sectional Population Study via Machine Learning
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216
Risk prediction models for dysphagia after radiotherapy among patients with head and neck cancer: a systematic review and meta-analysis
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217
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COMPARISON OF DIFFERENT THERMAL AGING PREDICTION MODELS OF CAST AUSTENITIC STAINLESS STEEL
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219
Energy management of smart buildings during crises and digital twins as an optimisation tool for sustainable urban environment
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220
A novel nomogram for predicting the morbidity of chronic atrophic gastritis based on serum CXCL5 levels
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