AIMC Topic: Incidence

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Prediction of acute and chronic kidney diseases during the post-covid-19 pandemic with machine learning models: utilizing national electronic health records in the US.

EBioMedicine Apr 26, 2025
BACKGROUND: COVID-19 has been linked to acute kidney injury (AKI) and chronic kidney disease (CKD), but machine learning (ML) models predicting these risks post-pandemic have been absent. We aimed to use large electronic health records (EHR) and ML a...
Middle Aged Incidence ROC Curve United States Female SARS-CoV-2 Aged Male Renal Insufficiency, Chronic Humans Machine Learning Prospective Studies Acute Kidney Injury Electronic Health Records Pandemics COVID-19
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Comparison of dynamic mode decomposition with other data-driven models for lung cancer incidence rate prediction.

Frontiers in public health Apr 25, 2025
INTRODUCTION: Public health data analysis is critical to understanding disease trends. Existing analysis methods struggle with the complexity of public health data, which includes both location and time factors. Machine learning offers powerful tools...
Humans Incidence Machine Learning Lung Neoplasms Forecasting United States Public Health Support Vector Machine
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Modeling the number of new cases of childhood type 1 diabetes using Poisson regression and machine learning methods; a case study in Saudi Arabia.

PloS one Apr 25, 2025
Diabetes mellitus stands out as one of the most prevalent chronic conditions affecting pediatric populations. The escalating incidence of childhood type 1 diabetes (T1D) globally is a matter of increasing concern. Developing an effective model that l...
Support Vector Machine Humans Poisson Distribution Male Machine Learning Incidence Infant Female Child, Preschool Saudi Arabia Infant, Newborn Child Adolescent Diabetes Mellitus, Type 1
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Integrating AI for infectious disease prediction: A hybrid ANN-XGBoost model for leishmaniasis in Pakistan.

Acta tropica Apr 23, 2025
Addressing leishmaniasis infection remains a substantial challenge in KP-Pakistan due to the increased infection prevalence. Understanding its spreading tool offerings is a major challenge. We essentially design effective approaches to pinpoint its e...
Incidence Models, Statistical Pakistan Leishmaniasis Boosting Machine Learning Algorithms Humans Forecasting Prevalence
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A comparative study on TB incidence and HIVTB coinfection using machine learning models on WHO global TB dataset.

Scientific reports Apr 21, 2025
Tuberculosis, a deadly and contagious disease caused by Mycobacterium tuberculosis, remains a significant global public health threat. HIV co-infection significantly increases the risk of active TB recurrence and prolongs medical treatment for tuberc...
Humans Machine Learning Coinfection Global Health Tuberculosis HIV Infections Mycobacterium tuberculosis Incidence World Health Organization ROC Curve
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Utilizing artificial intelligence to predict and analyze socioeconomic, environmental, and healthcare factors driving tuberculosis globally.

Scientific reports Apr 19, 2025
Tuberculosis (TB) is a major global health issue, contributing significantly to mortality and morbidity rates worldwide. Socioeconomic, environmental, and healthcare factors significantly impact TB trends. Therefore, we aimed to predict TB and identi...
Socioeconomic Factors Tuberculosis Artificial Intelligence Machine Learning Global Health Humans Incidence
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Estimated glucose disposal rate outperforms other insulin resistance surrogates in predicting incident cardiovascular diseases in cardiovascular-kidney-metabolic syndrome stages 0-3 and the development of a machine learning prediction model: a nationwide prospective cohort study.

Cardiovascular diabetology Apr 16, 2025
BACKGROUND: The American Heart Association recently introduced the concept of cardiovascular-kidney-metabolic (CKM) syndrome, highlighting the increasing importance of the complex interplay between metabolic, renal, and cardiovascular diseases (CVD)....
Decision Support Techniques Prospective Studies Biomarkers Prognosis Female Risk Factors Aged Male Humans Machine Learning Longitudinal Studies Blood Glucose Metabolic Syndrome Cardiovascular Diseases Incidence Kidney Diseases Middle Aged Time Factors Predictive Value of Tests Risk Assessment Insulin Resistance China
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Comparing machine learning models for predicting preoperative DVT incidence in elderly hypertensive patients with hip fractures: a retrospective analysis.

Scientific reports Apr 16, 2025
Hip fractures in the elderly present a significant public health challenge globally, especially among patients with hypertension, who are at an increased risk of developing preoperative deep vein thrombosis (DVT). DVT not only heightens surgical risk...
Hypertension Venous Thrombosis Hip Fractures Preoperative Period Incidence ROC Curve Logistic Models Nomograms Aged Aged, 80 and over Male Risk Assessment Retrospective Studies Female Risk Factors Humans Machine Learning
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Investigating long-term risk of aortic aneurysm and dissection from fluoroquinolones and the key contributing factors using machine learning methods.

Scientific reports Apr 16, 2025
The connection between fluoroquinolones and severe heart conditions, such as aortic aneurysm (AA) and aortic dissection (AD), has been acknowledged, but the full extent of long-term risks remains uncertain. Addressing this knowledge deficit, a retros...
Male Middle Aged Incidence Taiwan Female Risk Factors Aged Adult Fluoroquinolones Proportional Hazards Models Aortic Dissection Aortic Aneurysm Humans Machine Learning Anti-Bacterial Agents Retrospective Studies
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Machine learning-driven risk prediction and feature identification for major depressive disorder and its progression: an exploratory study based on five years of longitudinal data from the US national health survey.

Journal of affective disorders Apr 10, 2025
BACKGROUND: Major depressive disorder (MDD) presents significant public health challenges due to its increasing prevalence and complex risk factors. This study systematically analyzed data from 2019 to 2023 to explore trends in MDD incidence, symptom...
Humans Machine Learning Female Risk Factors Adult United States Longitudinal Studies Depressive Disorder, Major Social Support Incidence Health Surveys Male Middle Aged Risk Assessment Disease Progression
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