AIMC Topic: Disability-Adjusted Life Years

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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...
Humans Machine Learning Female Skin Neoplasms Carcinoma, Basal Cell Carcinoma, Squamous Cell Aged Aged, 80 and over Male Global Health Middle Aged Prevalence Incidence Global Burden of Disease Disability-Adjusted Life Years
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Global burden and future trends of head and neck cancer: a deep learning-based analysis (1980-2030).

PloS one Apr 9, 2025
BACKGROUND: Head and neck cancer (HNC) becomes a vital global health burden. Accurate assessment of the disease burden plays an essential role in setting health priorities and guiding decision-making.
Humans Female Aged Adult Male Global Health Middle Aged Deep Learning Incidence Head and Neck Neoplasms Quality-Adjusted Life Years Global Burden of Disease Disability-Adjusted Life Years
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Protocol for evaluating the cost-effectiveness of Mongolia's sugar-sweetened beverages tax using double machine learning.

PloS one Jan 1, 2025
Elevated consumption of sugar-sweetened beverages (SSBs) has been associated with an increase in obesity, type 2 diabetes, and other non-communicable diseases (NCDs), a significant health and economic burden on Mongolia. To address this, the governme...
Humans Machine Learning Female Young Adult Adult Male Middle Aged Adolescent Obesity Cost-Benefit Analysis Markov Chains Models, Economic Quality-Adjusted Life Years Sugar-Sweetened Beverages Taxes Disability-Adjusted Life Years Mongolia
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