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Risk factors analysis and prediction model construction for severe ...


Analysis of risk factors and prediction model construction for ...

The area under the ROC curve for this predictive model was 0.955 (95% CI 0.925–0.986), exceeding 0.900, indicating excellent predictive ...

Risk Identification, Assessments, and Prediction for Mega ... - MDPI

Risk is an especially important factor that needs to be considered, as it can influence both the cost–benefit analysis, local perceptions, construction costs, ...

Construction and Evaluation of a Model for the Prediction of Risk ...

Hepatitis B virus (HBV) infection is a high-risk factor for severe COVID-19 cases, leading clinicians to enhance the monitoring of patients with concurrent ...

Study on the construction of risk prediction model and efficacy ...

Hosmer and Lemeshow were used to investigate the goodness of fit of the risk prediction model, and Statistical Product and Service Solutions (SPSS) was used to ...

Multi-risk factors joint prediction model for risk ... - SpringerLink

The results of the multi-factor analysis were presented in Table 2. After analysis, we finally identified four factors, including BW (p < 0.001, ...

From Risk Prediction Models to Risk Assessment Service - arXiv

We thus reviewed existing literature and formulated a six-stage risk assessment service development paradigm, from requirements analysis, service development, ...

Risk factor analysis and prediction model construction of ... - 医学新知

Risk factor analysis and prediction model construction of aneurysmal subarachnoid hemorrhage complicated by acute hydrocephalus[J]. Yixue ...

Machine Learning Model for Risk Prediction of Community-Acquired ...

The analytical process included four major stages: preprocessing, feature selection, prediction model construction, and scoring function. The ...

How to Establish Clinical Prediction Models

A clinical prediction model can be applied to several challenging clinical scenarios: screening high-risk individuals for asymptomatic disease, ...

Construction of Risk Prediction Model of Type 2 Diabetic Kidney ...

The study identified DKD risk factors through literature review and physician focus group, and collected 7 years of data from 6,040 type 2 ...

Construction project risk prediction model based on EW-FAHP and ...

Firstly, the risk evaluation index value of construction project is selected by literature analysis method, and the comprehensive weight of risk ...

Developing clinical prediction models: a step-by-step guide | The BMJ

Empirical evidence suggests that published studies often have severe methodological limitations, which undermine their usefulness. This article ...

Construction and comparison of short-term prognosis prediction ...

Risk factors analysis and predictive model construction of poor early prognosis in acute ischemic stroke. ChinJClinRes, April2022. 2022; 35 ...

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

Binary Logistic regression analysis was used to explore the influencing factors of depression in the elderly, and a risk prediction model was established. The ...

Analysis of risk factors affecting the prognosis of patients with sepsis ...

RESULTS: In the nomogram prediction model, age, the Acute Physiology and Chronic Health. Scoring System Domain (APACHE II) score, the. Sequential Organ Failure ...

Development and internal validation of a multivariable risk ...

To assist with risk stratification, we developed a model to predict severe rebound pain after foot and ankle surgery involving single-shot.

Construction and verification of a risk prediction model for cognitive ...

ObjectiveWe explored risk factors for cognitive frailty in older patients with chronic obstructive pulmonary disease (COPD) and diabetes ...

Construction and validation analysis of a risk factor and risk ...

curves to analyze independent risk factors for the development of radiation dermatitis while developing a risk prediction model. In this study, risk factors ...

Construction and validation of risk prediction model of enteral ...

Abstract: Objective To discuss the effect factors of enteral nutrition feeding intolerance (FI) of the patients with severe acute pancreatitis (SAP), ...

Construction and verification of the risk prediction model for acute ...

The risk prediction model based on deep learning and BP neural network has a medium level of prediction efficiency for acute exacerbation within 6 months in ...