AIMC Topic: Incidence

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Epidemiological association and machine learning-based prediction of lung cancer risk linked to long-term lagged satellite-derived PM in China.

Frontiers in public health May 30, 2025
OBJECTIVES: This study investigated association between long-term PM exposure and lung cancer incidence, focusing on Jiangsu Province, China. We aimed to explore the effects of historical PM with time lags and build a prediction model using machine l...
Air Pollutants Air Pollution Particulate Matter Environmental Exposure Machine Learning China Incidence Lung Neoplasms Humans
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Spatiotemporal patterns and climate-induced macroeconomic burden of malaria in sub-Saharan Africa.

BMC public health May 29, 2025
BACKGROUND: The global malaria burden is characterized by economic, geographical, and climatic disparities, especially in sub-Saharan Africa (SSA). Moreover, meteorological factors have become increasingly important to understand the malaria burden i...
Geographic Information Systems Spatio-Temporal Analysis Incidence Bayes Theorem Humans Machine Learning Cost of Illness Malaria Weather Africa South of the Sahara Climate Change
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Associations of greenhouse gases, air pollutants and dynamics of scrub typhus incidence in China: a nationwide time-series study.

BMC public health May 29, 2025
BACKGROUND: Environmental factors have been identified as significant risk factors for scrub typhus. However, the impact of inorganic compounds such as greenhouse gases and air pollutants on the incidence of scrub typhus has not been evaluated.
Humans Female Risk Factors Adolescent Incidence Child, Preschool Male Aged Air Pollutants Child Middle Aged Young Adult Scrub Typhus Adult Greenhouse Gases Infant China
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Forecasting malaria cases using climate variability in Sierra Leone.

Malaria journal May 20, 2025
BACKGROUND: Malaria continues to pose a public health challenge in Sierra Leone, where timely and accurate forecasting can guide more effective interventions. Although seasonal models such as Seasonal Autoregressive Integrated Moving Average (SARIMA)...
Sierra Leone Humans Neural Networks, Computer Forecasting Incidence Models, Statistical Malaria Seasons Climate
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Global burden of vertebral fractures from 1990 to 2021 and projections for the next three decades.

Journal of orthopaedic surgery and research May 17, 2025
BACKGROUND: Vertebral fractures are linked to significant disability and mortality risks. Yet, existing studies on their global burden are outdated and lack predictive foresight.
Incidence Spinal Fractures Cost of Illness Global Health Global Burden of Disease Humans Forecasting Aged Middle Aged Female Aged, 80 and over Prevalence Adult Male
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Global burden of non-melanoma skin cancers among older adults: a comprehensive analysis using machine learning approaches.

Scientific reports May 1, 2025
Non-melanoma skin cancers (NMSCs), including basal cell carcinoma (BCC) and squamous cell carcinoma (SCC), have shown significant global increases in burden, particularly among older adults, with wide regional, gender, and socio-demographic dispariti...
Prevalence Incidence Global Burden of Disease Disability-Adjusted Life Years Male Global Health Middle Aged Carcinoma, Basal Cell Humans Carcinoma, Squamous Cell Machine Learning Aged Female Aged, 80 and over Skin Neoplasms
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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...
Humans Machine Learning Pandemics COVID-19 Prospective Studies Renal Insufficiency, Chronic Middle Aged Acute Kidney Injury Incidence Electronic Health Records SARS-CoV-2 ROC Curve Female Aged United States Male
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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...
Support Vector Machine Public Health Humans Incidence Machine Learning Lung Neoplasms Forecasting United States
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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...
Child Diabetes Mellitus, Type 1 Humans Support Vector Machine Machine Learning Infant, Newborn Adolescent Poisson Distribution Female Male Incidence Infant Child, Preschool Saudi Arabia
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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...
Models, Statistical Pakistan Leishmaniasis Boosting Machine Learning Algorithms Humans Forecasting Prevalence Incidence
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