Omslagsbillede

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...

Fuld beskrivelse

Saved in:
Format: Online
Sprog:engelsk
Udgivet: MDPI - Multidisciplinary Digital Publishing Institute 2024
Fag:
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 adgang:ONIX_20240704_9783725810437_46
Tags: Tilføj Tag
Ingen Tags, Vær først til at tagge denne postø!
Summary: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 science. By considering recent developments in medical technology, the reprint includes novel approaches in the field of medical statistics and data science, covering meta-analysis, the assessment of clinical outcomes, machine learning, medical diagnostics, and genomic factors.

Lignende værker