Reset
Showing 20 of 2,239 academic articles

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

Deep learning-based multimodal data fusion in bone tumor management: Advances in clinical decision support

Tongtong Huo, Wei Wu, Xiaoliang Chen, Mingdi Xue et al. • Intelligent Oncology (2025)

Bone tumors (BTs)—including osteosarcoma, Ewing sarcoma, and chondrosarcoma—are rare but biologically complex malignancies characterized by pronounced heterogeneity in anatomical location, histological subtype, and molecular alterations. Re...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.intonc.2025.06.005

Data Mining Techniques in Medical Informatics

U. Rajendra Acharya, Wenwei Yu • The Open Medical Informatics Journal (2010)

The advent of high-performance computing has benefited various disciplines in finding practical solutions to their problems, and our health care is no exception to this.Signal processing, image processing, and data mining tools have been de...

OPENALEX cc-by-nc DOI: https://doi.org/10.2174/1874431101004010021 PMC: 2916206

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

(Bio)Medical Informatics in the Next Decade

Thomas C. Rindfleisch • Journal of the American Medical Informatics Association (1998)

Even though medical informatics is most often viewed from the perspective of its host disciplines in clinical and biologic medicine, it has an identity and agenda of its own. This paper is an attempt to promote discussion about the long-ter...

OPENALEX Open Access DOI: https://doi.org/10.1136/jamia.1998.0050416 PMC: 61322

Development and validation of an interpretable machine learning model for predicting the risk of coronary heart disease risk in diabetes mellitus patients: a dual-center retrospective study

Ye Kuang, Yan Yu, Jing Li, Chuanmei Peng et al. • BMC Medical Informatics and Decision Making (2026)

Abstract Background Diabetes mellitus (DM) combined with coronary heart disease (CHD) significantly increases the risk of cardiovascular events with a greater mortality rate. Therefore, establishing a predictive model can help DM patients r...

DOAJ Open Access (DOAJ) DOI: 10.1186/s12911-026-03461-w