Using National Database open data from 2014 to 2023, this nationwide study visualizes age‐, sex‐, and region‐specific trends in groin hernia surgery in Japan. Laparoscopic surgery, outpatient surgery, and manual reduction were analyzed to estimate lifetime surgical burden and patterns of emergency‐related healthcare utilization at the population level.
Masanori Sato +7 more
wiley +1 more source
The Impact of Adolescent Body Weight Misclassification on Dieting Behaviour From Adolescence to Adulthood: A Longitudinal Study. [PDF]
Aloufi AD, Najman JM, Mamun AA.
europepmc +1 more source
Robotic‐assisted rectal resection in Japan increased markedly after national insurance reimbursement in 2018, with a concurrent decline in open surgery. Using NDB Open Data, we found substantial inter‐prefectural heterogeneity in surgical volume and robotic utilization that persisted after age and sex standardization (SCR). Urban–rural differences were
Ryo Ohta +9 more
wiley +1 more source
Inference under outcome misclassification in health risk models using a simulation study with a validation dataset. [PDF]
Liu X +4 more
europepmc +1 more source
Automatic Determination of Quasicrystalline Patterns from Microscopy Images
This work introduces a user‐friendly machine learning tool to automatically extract and visualize quasicrystalline tiling patterns from atomically resolved microscopy images. It uses feature clustering, nearest‐neighbor analysis, and support vector machines. The method is broadly applicable to various quasicrystalline systems and is released as part of
Tano Kim Kender +2 more
wiley +1 more source
Country-specific estimates of misclassification rates of computer-coded verbal autopsy algorithms. [PDF]
Pramanik S +13 more
europepmc +1 more source
Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia +1 more
wiley +1 more source
A Latent Variable Approach for Causal Effect Estimation Under Misclassified Treatment Assignment. [PDF]
Shang Y, Chiu YH, Kong L.
europepmc +1 more source
The authors develop a deep learning model for real‐time tracking of wound progression. The deep learning framework maps the nonlinear evolution of a time series of images to a latent space, where they learn a linear representation of the dynamics. The linear model is interpretable and suitable for applications in feedback control.
Fan Lu +11 more
wiley +1 more source
Reporting practices and impact of withdrawal of life-sustaining treatment on outcomes in acute brain injury clinical trials: a literature review and simulation study. [PDF]
Taran S +7 more
europepmc +1 more source

