Results 171 to 180 of about 4,560,972 (405)
We developed two generative adversarial network models that correspond to nucleation and directional solidification, using data collected from real materials. By combining these models, we created a method to virtually replicate real‐world crystal growth experiments and generate a variety of 3D multicrystalline silicon models in cyberspace.
Takumi Deshimaru+7 more
wiley +1 more source
Kanıta Dayalı Tıp ve Tıp Kütüphaneciliği / Evidence Based Medicine and Medical Librarianship
Medical profession is in a transition as it has never been since its foundation thousands of years ago. We are experiencing a world where paternalistic medicine is being given up by most practitioners as hundreds of articles are published daily on ...
Murat Sincan
doaj
Development of a Taxonomy for Health Information Technology [PDF]
Taxonomies provide schemas to help classify entities and define the relationships between them. Early computing enabled the development of ontologies and Medical Subject Headings (MeSH), the first modern classification of medical terminology as applied ...
Dixon, Brian E.+2 more
core
Medical Informatics Education: The University of Utah Experience [PDF]
George Patton, Reed M. Gardner
openalex +1 more source
This study, utilizing two large‐cohort datasets, employs interpretable neural networks. It demonstrates that incorporating brain morphology and functional and structural networks enhances predictive accuracy for general psychopathology and its dimensions.
Jing Xia, Nanguang Chen, Anqi Qiu
wiley +1 more source
Review of the 2023 Korean Society of Medical Informatics Summer Camp on SNOMED CT. [PDF]
Park HA.
europepmc +1 more source
Report on the EHCR (Deliverable 26.1) [PDF]
The challenge of richly interpreting electronic health information, in order to populate EHR instances with suitable terms, to provide decision support in the care of individuals, to identify suitable patients for teaching or clinical trials ...
Kalra, D.
core
OxSpred, an eXtreme‐Gradient‐Boosting‐‐based supervised learning model, accurately annotates oxidative stress in innate immune cells at the single‐cell level, providing interpretable embeddings with significant biological relevance. This innovative tool revolutionizes the understanding of innate immune cell functions during inflammation and enhances ...
Po‐Yuan Chen, Tai‐Ming Ko
wiley +1 more source
MEDICAL INFORMATICS TODAY AND TOMORROW
The article describes the state and some trends in the development of medical informatics especially regarding the fields of scientific information, knowledge discovery in databases, and the role of standards in data exchange.The ways of publication of ...
Jure Dimec+3 more
doaj
Medical Informatics Challenges of the 1990s: Acknowledging Secular Change [PDF]
Mark S. Tuttle
openalex +1 more source