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ACHENY: A standard Chenopodiaceae image dataset for deep learning models

Ahmad Heidary-Sharifabad, Mohsen Sardari Zarchi, Sima Emadi, Gholamreza Zarei • Data in Brief (2021)

This paper contains datasets related to the “Efficient Deep Learning Models for Categorizing Chenopodiaceae in the wild” (Heidary-Sharifabad et al., 2021). There are about 1500 species of Chenopodiaceae that are spread worldwide and often a...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.dib.2021.107478

SNPPhenA: a corpus for extracting ranked associations of single-nucleotide polymorphisms and phenotypes from literature

Behrouz Bokharaeian, Alberto Diaz, Nasrin Taghizadeh, Hamidreza Chitsaz et al. • Journal of Biomedical Semantics (2017)

Abstract Background Single Nucleotide Polymorphisms (SNPs) are among the most important types of genetic variations influencing common diseases and phenotypes. Recently, some corpora and methods have been developed with the purpose of extra...

DOAJ Open Access (DOAJ) DOI: 10.1186/s13326-017-0116-2

Medical Informatics, Artefacts or Science?

Jeremy C Wyatt • Methods of Information in Medicine (1996)

Successful and productive medical informatics research is evidently a combination of luck, creative art, and science, but some researchers focus too much on building computer artefacts and writing anecdotal reports of their experience. They...

OPENALEX DOI: https://doi.org/10.1055/s-0038-1634665

Медицинская информатика [Medical Informatics]

B.A. Kobrinsky, T.V. Zarubina • Zenodo (CERN European Organization for Nuclear Research) (2012)

A 2009 Russian-language textbook by Boris A. Kobrinsky and Tatyana V. Zarubina on medical informatics. The book covers the principles and methods of information technology in medicine, including medical information systems, biomedical data ...

OPENALEX cc-by DOI: https://doi.org/10.5281/zenodo.21930521

Workshop on medical informatics and engineering

• Proceedings of the International Multiconference on Computer Science and Information Technology (2009)

MI&E 2009 will bring researchers, developers, practitoners, and users to present their latest research, results, and ideas in all areas of medical informatics, engineering and artificial intelligence in medicine and health care....

OPENALEX DOI: https://doi.org/10.1109/imcsit.2009.5352695

Medical Informatics/Computers in Medicine

Donald A. B. Lindberg • JAMA (1986)

Quietly over the past 25 years, the field of medical informatics has been emerging as a distinct disciplinary area that provides the scientific and theoretical basis for current and future practical applications of computers and automated i...

OPENALEX DOI: https://doi.org/10.1001/jama.1986.03380150130044

Medical informatics education.

Nicos Maglaveras • PubMed (1998)

Medical Informatics is a multidisciplinary field, dealing mainly with informatics and technology applications in health care. Medical Informatics is composed from a number of sub-areas such as computer based patient record (CPR), processing...

OPENALEX DOI: https://doi.org/10.3233/978-1-60750-900-4-135

Medical informatics in the new millennium.

M. J. Ball, Judith V. Douglas • PubMed (1998)

In a period of social transformation, we must reinvent health care. For guidance, we can look to the evolving discipline of medical informatics and to the patterns of investment in the practice arena. A top ranked application need, the comp...

OPENALEX DOI: https://doi.org/10.3233/978-1-60750-896-0-1176

Quantum computing in medical informatics

Kavita Khare, Zainab Aizaz, Nilay Khare • CRC Press eBooks (2025)

In an era of exponential technological advancements, the integration of quantum computing (QC) and medical informatics emerges as a captivating frontier, promising to unlock a new realm of possibilities for healthcare. QC, harnessing the pr...

OPENALEX DOI: https://doi.org/10.1201/9781003503033-10

Behavioral dataset for Long-Evans and its schizophrenia-like substrain through several generations

Gábor Kőrösi, Oliver Czimbalmos, Gabriella Kekesi, Gyongyi Horvath • Scientific Data (2026)

Abstract We present a high-throughput behavioral dataset acquired with Ambitus, an automated reward-based corridor system that records locomotor and exploratory activities and cognitive functions after minimal handling. The collection conta...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41597-026-06735-0

Caring for Computers: The Hidden Work of Clinical Nurses during the Introduction of Health Information Systems in a Teaching Hospital in Taiwan

Feng-Tzu Huang • Nursing Reports (2021)

Implementing health information systems for enhancing patient care and management occurs worldwide. Discovering how nurses, as important system end-users, experience technology-reliant clinical practice involved focus groups (n = 25) and in...

DOAJ Open Access (DOAJ) DOI: 10.3390/nursrep11010011