Risk factors analysis and construction of predictive models for acute ...

The purpose of this study is to discuss the risk factors for VI-AKI in overweight patients and construct a clinical prediction model based on the results of ...

Download Citation | Risk factors analysis and construction of predictive models for acute kidney injury in overweight patients receiving vancomycin ...

Risk Factor Analysis and Risk Prediction Model Construction of ...

Univariate analysis and binary logistic regression analysis were used to explore risk factors. Then, a risk prediction equation was constructed and a receiver ...

Construction of a Risk Prediction Model for the Occurrence of Acute ...

The developed model effectively predicts ASF risk, allowing for the early identification of high-risk patients. Identifying risk factors ...

PARCCS: A Machine Learning Risk-Prediction Model for Acute ...

The development of risk prediction models for acute peripartum CV complications can be easily incorporated into electronic health records (EHRs) and used in ...

Characterization of Risk Prediction Models for Acute Kidney Injury

More standardized approaches to the development and validation of prediction models are urgently needed and should cover aspects including study ...

Identification of risk factors and construction of a nomogram ...

Identification of risk factors and construction of a nomogram predictive model for post-stroke infection in patients with acute ischemic ...

Analysis of risk factors for acute pancreatitis complicated ... - Frontiers

The models are cross verification and Internal verification. The predictive ability and accuracy of the model were evaluated based on the working curve of the ...

Construction and verification of a predictive model for risk factors in ...

Using a logistic regression model to analyze severe adenovirus pneumonia risk factors in children. We constructed a prediction model by drawing ...

Risk Factor Analysis and Multiple Predictive Machine Learning ...

The predictive models were developed based on three machine learning algorithms. The RF model was trained with 20 variables and had a receiver ...

Prediction of acute respiratory infections using machine learning ...

Among the seven models used, the Random Forest algorithm demonstrated the highest accuracy in predicting acute respiratory infections, with an ...

Establishment of a Predictive Model for Acute Respiratory Distress Syn

We constructed a predictive model for ARDS using logistic regression with significant factors identified in multivariate logistic regression.

Development and validation of a predictive model for acute kidney ...

Using multifactorial logistic regression, we identified independent risk factors for AKI and constructed a nomogram to predict AKI risk. The predictive model's ...

Risk Factor Analysis and Multiple Predictive Machine Learning ...

The predictive models were developed based on three machine learning algorithms. The RF model was trained with 20 variables and had a receiver operating ...

Risk factors for one-year mortality following discharge in patients ...

Besides, a receiver operating characteristic curve (ROC) was plotted to evaluate the model's predictive capacity, with a higher area under the ...

Construction and validation of a predictive model for major

Construction of a prediction model to predict the risk of major adverse cardiovascular events (MACE) in the long term after percutaneous coronary ...

Construction and Verification of a Predictive Model for Risk Factors ...

All cases divided into training cohort (N = 125) and validation cohort (N = 52). We constructed a prediction model by drawing a nomogram and ...

A predictive model to explore risk factors for severe COVID-19 - Nature

This analysis includes clinical features upon initial hospital admission, relevant laboratory test results, and imaging findings. We aimed to ...

Predictive Model for Readmission in Patients with CSFP | IJGM

In order to investigate the risk factors affecting the readmission of CSFP patients, a prediction model was constructed with the aim of ...

Searching for Risk Factors and Establishing Predictive Models for ...

Furthermore, the risk factors and predictors were screened out by comparison with the results of univariate statistical analysis. Finally, binary logistic ...