Data integration challenges for machine learning in precision medicine

M Martínez-García, E Hernández-Lemus - Frontiers in medicine, 2022 - frontiersin.org
A main goal of Precision Medicine is that of incorporating and integrating the vast corpora on
different databases about the molecular and environmental origins of disease, into analytic …

[HTML][HTML] A review of AI and Data Science support for cancer management

E Parimbelli, S Wilk, R Cornet, P Sniatala… - Artificial Intelligence in …, 2021 - Elsevier
Introduction Thanks to improvement of care, cancer has become a chronic condition. But
due to the toxicity of treatment, the importance of supporting the quality of life (QoL) of cancer …

Semantic metadata annotation services in the biomedical domain—a literature review

J Sasse, J Darms, J Fluck - Applied Sciences, 2022 - mdpi.com
For all research data collected, data descriptions and information about the corresponding
variables are essential for data analysis and reuse. To enable cross-study comparisons and …

Pragmatic MDR: a metadata repository with bottom-up standardization of medical metadata through reuse

S Hegselmann, M Storck, S Gessner… - BMC medical informatics …, 2021 - Springer
Background The variety of medical documentation often leads to incompatible data
elements that impede data integration between institutions. A common approach to …

CDEGenerator: an online platform to learn from existing data models to build model registries

J Varghese, M Fujarski, S Hegselmann… - Clinical …, 2018 - Taylor & Francis
Objective Best-practice data models harmonize semantics and data structure of medical
variables in clinical or epidemiological studies. While there exist several published data …

[HTML][HTML] A formal, scalable approach to semantic interoperability

J Davies, J Welch, D Milward, S Harris - Science of Computer …, 2020 - Elsevier
Scientific progress is increasingly dependent upon the acquisition, processing, and analysis
of large volumes of data. The validity of results and the safety of applications rely upon an …

EMR-integrated minimal core dataset for routine health care and multiple research settings: A case study for neuroinflammatory demyelinating diseases

S von Martial, TJ Brix, L Klotz, P Neuhaus, K Berger… - PLoS …, 2019 - journals.plos.org
Although routine health care and clinical trials usually require the documentation of similar
information, data collection is performed independently from each other, resulting in …

[HTML][HTML] Integration of Patient-Reported Outcome Data Collected Via Web Applications and Mobile Apps Into a Nation-Wide COVID-19 Research Platform Using Fast …

JB Oehm, SL Riepenhausen, M Storck, M Dugas… - Journal of Medical …, 2024 - jmir.org
Background The Network University Medicine projects are an important part of the German
COVID-19 research infrastructure. They comprise 2 subprojects: COVID-19 Data Exchange …

A machine-learning approach for semantically-enriched building-code sentence generation for automatic semantic analysis

R Zhang, N El-Gohary - Construction Research Congress 2020, 2020 - ascelibrary.org
Existing automated code checking (ACC) systems require the extraction of requirements
from regulatory textual documents into computer-processable rule representations. The …

Modeling semantic business trajectories of territories for multidisciplinary studies through controlled vocabularies

M Arslan, C Cruz - 2023 IEEE 39th International Conference on …, 2023 - ieeexplore.ieee.org
Environmental changes influence society and this impact extends to businesses across
several sectors. The risks linked with environmental changes have both advantages and …