Frameworks, Dimensions, Definitions of Aspects, and Assessment Methods for the Appraisal of Quality of Health Data for Secondary Use: Comprehensive Overview of Reviews

JMIR Medical Informatics, Journal Year: 2024, Volume and Issue: 12, P. e51560 - e51560

Published: Jan. 9, 2024

Health care has not reached the full potential of secondary use health data because of-among other issues-concerns about quality being used. The shift toward digital led to an increase in volume data. However, this quantity been matched by a proportional improvement

Language: Английский

Brain virtual histology of a lizard species (Podarcis bocagei) using X-ray micro-tomography and deep-learning segmentation

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: July 6, 2024

Abstract Lately, there has been an emphasis on the importance of studying inter-individual variation in animal behaviour and cognition understanding its underlying mechanisms. What was once considered mere noise around population mean can be explained by individual characteristics such as brain morphology functionality. However, logistical limitations faced when brain, especially for research involving wild animals, dealing with small sample sizes time-consuming methods. Here, we combined efficient accurate method using X-ray micro-tomography deep-learning (DL) segmentation to estimate volume six main areas lizards, Podarcis bocagei : olfactory bulbs, telencephalon, diencephalon, midbrain, cerebellum stem. Through quantitative comparison, show that a sufficient neural network trained few five data sets. From this, applied algorithm obtain regions from 29 brains . We provide detailed protocol our methods, including preparation, tomography, 3D volumetric segmentation. Our work is open-access freely available, potential benefit researchers various fields, physiology, biomedical studies, computer sciences.

Language: Английский

Frameworks, dimensions and assessment methods for the appraisal of quality of health data in secondary use: a review of reviews (Preprint)

Published: Aug. 3, 2023

Health care has not reached the full potential of secondary use health data because of—among other issues—concerns about quality being used. The shift toward digital led to an increase in volume data. However, this quantity been matched by a proportional improvement This review aims offer comprehensive overview existing frameworks for dimensions and assessment methods In addition, it consolidate results into unified framework. A reviews was conducted including describing their methods, specifically from perspective. Reviews were excluded if they related ecosystem, lacked relevant information our research objective, published languages than English. total 22 included, comprising frameworks, with 23 different terms dimensions, 62 definitions dimensions. All mapped framework European Institute Innovation through Data. total, 8 mentioned 38 pertaining 31 findings revealed lack consensus literature regarding terminology, definitions, creates ambiguity difficulties developing specific methods. study goes step further assigning all observed consolidated 9

Language: Английский