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2001
An Explainable Multi-Model Stacked Classifier Approach for Predicting Hepatitis C Drug Candidates
Published 2024-12-01Get full text
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2002
A Review of Ignition Characteristics and Prediction Model of Combustor Under High-Altitude Conditions
Published 2025-01-01Get full text
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2003
Transfer learning-enhanced CNN-GRU-attention model for knee joint torque prediction
Published 2025-03-01Get full text
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2004
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2005
Construction of mathematical models to predict M25 and M10 coke quality indices
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2006
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2007
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2008
Prediction Models for Mortality in Patients With Moderate to Severe ARDS Treated in the ICUTake-Home Points
Published 2025-06-01“…Background: Mortality prediction models have been developed for patients in the ICU, but infrequently are targeted for specific conditions. …”
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2009
Machine-learning model for predicting left atrial thrombus in patients with paroxysmal atrial fibrillation
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2010
Diagnosis models to predict peripheral arterial disease: a systematic review and meta analysis
Published 2025-07-01Get full text
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2011
A methodological systematic review of validation and performance of sepsis real-time prediction models
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2012
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2013
Prediction of microbe-drug associations using a CNN-Bernoulli random forest model
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2014
The Fermentation Degree Prediction Model for Tieguanyin Oolong Tea Based on Visual and Sensing Technologies
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2015
Establishment of a prediction model for long-term infections in patients undergoing peritoneal dialysis
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2016
Evaluating machine learning models comprehensively for predicting maximum power from photovoltaic systems
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2017
Comparing machine learning models for osteoporosis prediction in Tibetan middle aged and elderly women
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2018
An Ultrasound-based Machine Learning Model for Predicting Tumor-Infiltrating Lymphocytes in Breast Cancer
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2019
A sarcopenia prediction model based on the calf maximum muscle circumference measured by ultrasound
Published 2025-02-01Get full text
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2020
Prediction models of breast cancer molecular subtypes based on multimodal ultrasound and clinical features
Published 2025-05-01Get full text
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