A systematic review of dengue outbreak prediction models: Current scenario and future directions

XY Leung, RM Islam, M Adhami, D Ilic… - PLoS neglected …, 2023 - journals.plos.org
Dengue is among the fastest-spreading vector-borne infectious disease, with outbreaks
often overwhelm the health system and result in huge morbidity and mortality in its endemic …

Recommendations for statistical reporting in cardiovascular medicine: a special report from the American Heart Association

AD Althouse, JE Below, BL Claggett, NJ Cox… - Circulation, 2021 - ahajournals.org
Statistical analyses are a crucial component of the biomedical research process and are
necessary to draw inferences from biomedical research data. The application of sound …

[HTML][HTML] Leakage and the reproducibility crisis in machine-learning-based science

S Kapoor, A Narayanan - Patterns, 2023 - cell.com
Machine-learning (ML) methods have gained prominence in the quantitative sciences.
However, there are many known methodological pitfalls, including data leakage, in ML …

[HTML][HTML] Evaluation of extract of Ipomoea batatas leaves as a green coagulant–flocculant for turbid water treatment: parametric modelling and optimization using …

HS Kusuma, AN Amenaghawon… - … Technology & Innovation, 2021 - Elsevier
Wastewater produced from many industrial processes is characterized by high levels of
turbidity which is usually an indication of the level of pollution. Coagulation coupled with …

Predicting hurricane trajectories using a recurrent neural network

S Alemany, J Beltran, A Perez, S Ganzfried - Proceedings of the AAAI …, 2019 - aaai.org
Hurricanes are cyclones circulating about a defined center whose closed wind speeds
exceed 75 mph originating over tropical and subtropical waters. At landfall, hurricanes can …

[HTML][HTML] Fiber intake predicts weight loss and dietary adherence in adults consuming calorie-restricted diets: the POUNDS lost (preventing overweight using novel …

DC Miketinas, GA Bray, RA Beyl, DH Ryan… - The Journal of …, 2019 - Elsevier
Background The effects of dietary composition on weight loss are incompletely understood.
In addition to energy intake, fiber intake, energy density, macronutrient composition, and …

Comparison of visceral fat mass measurement by dual-X-ray absorptiometry and magnetic resonance imaging in a multiethnic cohort: the Dallas Heart Study

IJ Neeland, SM Grundy, X Li, B Adams-Huet… - Nutrition & …, 2016 - nature.com
Results: Mean age of the cohort was 44 years, with 55% female, 48% Black and 75%
overweight/obese participants. Regression analysis showed a linear relationship between …

Machine learning assessment of left ventricular diastolic function based on electrocardiographic features

N Kagiyama, M Piccirilli, N Yanamala… - Journal of the American …, 2020 - jacc.org
Background Left ventricular (LV) diastolic dysfunction is recognized as playing a major role
in the pathophysiology of heart failure; however, clinical tools for identifying diastolic …

Predicting the hearing outcome in sudden sensorineural hearing loss via machine learning models

D Bing, J Ying, J Miao, L Lan, D Wang… - Clinical …, 2018 - Wiley Online Library
Objective Sudden sensorineural hearing loss (SSHL) is a multifactorial disorder with high
heterogeneity, thus the outcomes vary widely. This study aimed to develop predictive …

The overall stability of a partially unstable reservoir bank slope to water fluctuation and rainfall based on Bayesian theory

W Zhang, S Liu, L Wang, W Sun, Y He, Y Wang, G Sun - Landslides, 2024 - Springer
In geotechnical analysis, the factor of safety (FOS) is crucial for slope stability assessment.
Traditional methods often overlook the nuances of partial slope instability. Accurately …