heart-disease-logistic-regression/ ├── data/ # dataset (heart_disease_uci.csv) ├── src/ # source code │ ├── heart_disease_logistic_regression.py ...
Objective: This study aims to develop and internally validate a multivariable logistic regression model and a simplified scoring system, based on standardized ultrasonographic features, for the ...
1 School of Computing and Data Science, Wentworth Institute of Technology, Boston, USA. 2 Department of Computer Science and Quantitative Methods, Austin Peay State University, Clarksville, USA. 3 ...
Background: Aspiration pneumonia is a serious complication after cardiac surgery, particularly among older patients. Preoperative oral frailty—decline in oral function including poor hygiene and ...
Increasing Cervical Cancer Rates Among Women Age 35-54 Years in Canada: Age-Specific Cervical Cancer Incidence Trends in Canada, 1992-2022 Despite an overall decline in delays across all age groups, ...
This study identified risk factors for unplanned admissions among patients with multiple chronic conditions to inform focused interventions. Objectives: Value-based care models, such as the Medicare ...
Department of Hepatobiliary Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, China Objective: Compare the performance of the Multivariable logistic ...
The prognostic score was developed based on the ACTUAL (Endovascular Treatment for Acute Anterior Circulation Ischemic Stroke) registry. The validation cohort was derived from the Captor trial.
Abstract: Customer churn prediction is an important task in customer relationship management because it helps businesses know who is at risk of leaving and retain such at-risk customers.Accurate and ...
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