Feature Papers in Medical Statistics and Data Science Section

Recent years have witnessed an increase in the use of advanced data analysis methods in biomedical, clinical, and epidemiological research. The aim of this reprint is to highlight the practical aspects of new data analysis methods and to provide insights into the challenges in biostatistics and data...

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Bibliographic Details
Format:	Online
Language:	English
Published:	MDPI - Multidisciplinary Digital Publishing Institute 2024
Subjects:	recurrent neural networks event detection data preprocessing outlier removal type 1 diabetes automated detection craniovertebral angle neuronal network Openpose RGB C7 tragus laboratory diagnostics requirements engineering genomics gene expression metagenomics medical diagnostics standardized regression coefficient statistics meta-analysis research synthesis data presentation carotid intima-media thickness overweight childhood colon adenocarcinoma bioinformatic analysis MMP3 and TESC data science machine-learning digital medicine artificial intelligence SARS-CoV-2 vaccines deep learning spike protein ACE2 CpG DNA machine learning clinical trials RCT automated meta-analysis automation big data nephrology chronic kidney disease prediction models outcomes personalized medicine primary prevention treatment structural models protein structures membrane bilayer DOPE Modeller AlphaFold2 weighted trajectory analysis Kaplan–Meier estimator clinical outcome assessment logrank test ordinal variables Parkinson’s disease hyperbaric oxygen therapy genomic factors single-cell RNA-seq WSI patches tumour cancer Camelyon17 algorithmic fairness electronic health records data missingness data imputation diabetes model explainability mental workload statistical feature selection Shapley-based feature selection alpha and theta EEG band ratios thema EDItEUR::M Medicine and Nursing::MB Medicine: general issues::MBN Public health and preventive medicine
Online Access:	ONIX_20240704_9783725810437_46
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Feature Papers in Medical Statistics and Data Science Section

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