Hospital Records Show Missing Clinical Data Influences Machine Learning Predictions
A retrospective hospital study reveals that routine documentation gaps and missingness indicators shape cardiovascular machine-learning predictions.
Tag: missing data
Agresti-Caffo Intervals Match Newcombe-Wilson Performance After Multiple Imputation in Simulations
A simulation study demonstrates that Agresti-Caffo confidence intervals provide a reliable alternative to Newcombe-Wilson methods after multiple imputation, while Wald ...
German Transplant Registry Data Analysis Reveals Kidney Transplant Gaps
A new study analyzes the German Transplantation Registry to assess data quality and missing value patterns in kidney transplant records ...
DeepSIP Framework Improves Air Quality Forecasting by Filling Sensor Gaps
A new deep learning framework called DeepSIP improves air quality forecasting by effectively imputing missing sensor data and modeling complex ...
New DNA Methylation Clock Survives Missing Data Tests but Underestimates Age in Teens
A 209-CpG whole-blood chronological-age predictor built with elastic-net feature stability and five-nearest-neighbor reconstruction lowered held-out prediction error under structured technical ...
Reporting gaps persist in target trial emulations of type 2 diabetes research
A systematic review of 229 target trial emulation studies in type 2 diabetes finds strong reporting of eligibility, treatment and ...
Physics-trained autoencoder tidies weather data but cannot beat raw inputs for evapotranspiration
A physics-regularized autoencoder cut dew-point inconsistency in reconstructed Delhi weather data by 87 percent, yet still could not beat XGBoost ...
Physician-Led CBT Skills Group Eases Anxiety and Depression in Primary Care
A longitudinal cohort study found a physician-led primary care CBT skills group was associated with reduced anxiety and depression symptoms, ...
Registry Studies Rarely Test How Missing Patient Data Could Reverse Their Findings
A scoping review of 61 registry-based PROM studies found no reported tipping-point analyses and only one delta adjustment, prompting a ...
Simulation study compares how well imputation methods handle missing data under structural bias
A simulation study in BMC Medical Research Methodology finds that mice offered the most balanced performance among four missing-data methods ...
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Mothers who receive childcare support from maternal grandparents show more parental warmth, finds NTU Singapore study
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University of Seville Breaks 120-Year-Old Mystery, Revises a Key Einstein Concept
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Bee body mass, pathogens and local climate influence heat tolerance
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Researchers record first-ever images and data of a shark experiencing a boat strike
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Groundbreaking Clinical Trial Reveals Lubiprostone Enhances Kidney Function
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