Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Juan G. Diaz Ochoa"'
Autor:
Juan G. Diaz Ochoa, André Marquardt
Publikováno v:
Frontiers in Bioinformatics, Vol 3 (2023)
Externí odkaz:
https://doaj.org/article/ee8acd794dc24fe09e7150ff5f963e23
Publikováno v:
Frontiers in Bioinformatics, Vol 3 (2023)
Background: Medicine is characterized by its inherent uncertainty, i.e., the difficulty of identifying and obtaining exact outcomes from available data. Electronic Health Records aim to improve the exactitude of health management, for instance using
Externí odkaz:
https://doaj.org/article/3eb8078969864c508c002feb391c9fc9
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 21, Iss 1, Pp 1-15 (2021)
Abstract Background Out of the pressure of Digital Transformation, the major industrial domains are using advanced and efficient digital technologies to implement processes that are applied on a daily basis. Unfortunately, this still does not happen
Externí odkaz:
https://doaj.org/article/df5edd2537354201b7cf2e7766386345
Autor:
Juan G. Diaz Ochoa
Publikováno v:
Frontiers in Physics, Vol 8 (2020)
It is common to consider using a data-intensive strategy as a way to develop systemic and quantitative analysis of complex systems so that data collection, sampling, standardization, visualization, and interpretation can determine how causal relation
Externí odkaz:
https://doaj.org/article/ace9fe6d4e7740c2b345baa46cc76995
Autor:
Juan G. Diaz Ochoa, Faizan E Mustafa
Graph Neural Networks (GNN), a novel method to recognize features in heterogeneous information structures, have been recently used to model patients with similar diagnoses, extract relevant features and in this way predict for instance medical proced
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d524af43e0ac9c6d9788c5d1a59874f5
https://doi.org/10.1101/2022.04.06.22273515
https://doi.org/10.1101/2022.04.06.22273515
Autor:
Juan G. Diaz Ochoa
ProblemSystems theory applied to biology and medicine assumes that the complexity of a system can be described by quasi-generic models to predict the behavior of many other similar systems. To this end, the aim of various research works in systems th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f62647a24401cc868a6fe7275a102cfd
https://doi.org/10.1101/2022.01.21.477230
https://doi.org/10.1101/2022.01.21.477230
Autor:
Juan G. Diaz Ochoa, Faizan E Mustafa
Publikováno v:
Artificial intelligence in medicine. 131
Currently, the healthcare sector strives to improve the quality of patient care management and to enhance/increase its economic performance/efficiency (e.g., cost-effectiveness) by healthcare providers. The data stored in electronic health records (E
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e7b22ef885b8deda4a0e13cd63b16502
https://pubmed.ncbi.nlm.nih.gov/36100347
https://pubmed.ncbi.nlm.nih.gov/36100347
Autor:
Juan G. Diaz Ochoa, Felix Weil
Publikováno v:
Computational Toxicology. 11:14-22
The ever-growing disruption of new technologies like machine learning, block chains, etc in the daily life not only concerns every consumer, but also any scientist, since such technologies explicitly or implicitly introduce novel methodologies challe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::39096f5645da35e848f031633af010f7
https://doi.org/10.1016/j.comtox.2019.02.002
https://doi.org/10.1016/j.comtox.2019.02.002
Publikováno v:
BMC Medical Informatics and Decision Making
BMC Medical Informatics and Decision Making, Vol 21, Iss 1, Pp 1-15 (2021)
BMC Medical Informatics and Decision Making, Vol 21, Iss 1, Pp 1-15 (2021)
Background Out of the pressure of Digital Transformation, the major industrial domains are using advanced and efficient digital technologies to implement processes that are applied on a daily basis. Unfortunately, this still does not happen in the sa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3a51efd200ca2a43f1b700a8ecf6cf1a
http://europepmc.org/articles/PMC8194023
http://europepmc.org/articles/PMC8194023
Autor:
Juan G. Diaz Ochoa
It is common to consider a data-intensive strategy to be an appropriate way to develop systemic analyses in biology and physiology. Therefore, options for data collection, sampling, standardization, visualization, and interpretation determine how cau
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::30299c3f0dd601bc7643e1d786fb3556
https://doi.org/10.1101/595785
https://doi.org/10.1101/595785