Опубликована: Янв. 1, 2024
Язык: Английский
Опубликована: Янв. 1, 2024
Язык: Английский
Health Science Reports, Год журнала: 2025, Номер 8(5)
Опубликована: Май 1, 2025
ABSTRACT Background and Aims Myopia is a prevalent refractive error, particularly among young adults, becoming growing global concern. This study aims to predict myopia undergraduate students using ensemble machine learning techniques identify key risk factors associated with its development. Methods A cross‐sectional was conducted in Dinajpur city, collecting 514 samples through self‐structured questionnaire covering demographic information, prevalence factors, knowledge attitudes, daily activities. Four feature selection Boruta‐based (BFS), Least Absolute Shrinkage Selection Operator regression, Forward Backward Random Forest (RF) identified 12 predictive features. Using these features, methods, including logistic regression artificial neural network, RF, Support Vector Machine, extreme gradient boosting, light boosting were employed for prediction. Model performance evaluated accuracy, precision, recall, F1‐score, area under the curve (AUC). Results The stacking model achieved highest performance, an accuracy of 95.42%, recall 93.42%, precision 98.85%, F1‐score 96.08%, AUC 0.979. SHapley Additive exPlanations analysis visual impairment, family history myopia, excessive screen time, insufficient outdoor Conclusion These findings demonstrate effectiveness predicting highlight potential early intervention strategies. By identifying high‐risk individuals, targeted awareness programs lifestyle modifications can help mitigate progression students.
Язык: Английский
Процитировано
0The EPMA Journal, Год журнала: 2024, Номер 15(4), С. 573 - 585
Опубликована: Ноя. 26, 2024
Язык: Английский
Процитировано
2Asia-Pacific Journal of Ophthalmology, Год журнала: 2024, Номер unknown, С. 100125 - 100125
Опубликована: Дек. 1, 2024
Myopia has ever-rising prevalence in the past few decades globally. Its pathogenesis is still not adequately elucidated especially at signal transduction level. For environmental risk factors, there a large body of fragmented knowledge about visual inputs for accommodation, myopiagenesis and emmetropization, with latter two being essentially local processes. The red-green yellow-blue chromatic pathways, together underlying L-M S-(L+M) cone opponency, seem to be common denominator amongst them. In this review, experimental observational evidence are summarized delineate interplay This review may establish pivotal role longitudinal aberration (LCA) mechanistic approach future research myopia control. looks into processes specifically focusing on opponency vision as components. roles contrast onset development intriguing. How input pathways (specifically, blue-yellow opponency) contribute accommodation that trigger emmetropization mechanisms, thereby influencing eye growth patterns explored discussed. brief, manuscript delves physiology processing highlights foundational aspect science account "Go" or "Stop" signaling axial growth. It further proposes metric gauge myopia-inhibiting optical devices such peripheral defocus lenses, its best iteration. Future above-mentioned areas warranted.
Язык: Английский
Процитировано
1Frontiers in Public Health, Год журнала: 2024, Номер 12
Опубликована: Окт. 4, 2024
Near-sightedness, or myopia, is becoming more prevalent worldwide, but its etiopathogenesis not fully understood. This review examines the potential protective role of green spaces in reducing myopia prevalence among children and adolescents, based on recent epidemiological studies from various countries. The consistently used Normalized Difference Vegetation Index (NDVI) to quantify space exposure. analysis reveals a significant inverse relationship between exposure risk developing across multiple studies. For example, 0.1 increase NDVI within buffer zones around schools was associated with 6.3–8.7% reduction prevalence. Higher residential greenness 100-meter homes linked 38% preschool children. effect observed different age groups, preschoolers high school students. Urban planning factors, such as size, connectivity, aggregation spaces, also influenced risk. These findings suggest that increasing access urban environments may be an effective strategy for prevention, important implications public health policies.
Язык: Английский
Процитировано
0Опубликована: Янв. 1, 2024
Язык: Английский
Процитировано
0