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Showing 20 of 1,215 academic articles
Yan Long, Hongshan Zhao • Journal of Mathematics
(2022)
Game theory has become an important tool to study the competition between oligopolistic enterprises. After combing the existing literature, it is found that there is no research combining two-stage game and nonlinear dynamics to analyze the...
DOAJ
Open Access (DOAJ)
DOI: 10.1155/2022/4370298
M. Sivaramkrishnan, M. Siva Ramkumar, Kiruthika Balakrishnan, J. Isaac JoshuaRamesh Lalvani • Scientific Reports
(2026)
Abstract An adaptive cruise control (ACC) system has a key role to play in enhancing the safety and stability of autonomous vehicles, along with ensuring improved ride quality through proper management of vehicle velocity and distance betwe...
DOAJ
Open Access (DOAJ)
DOI: 10.1038/s41598-026-69261-4
Lufei Chen, Chaoxian Dai, Zhenfang Wu, Yuhan Lin et al. • Journal of Xenobiotics
(2026)
Accumulating epidemiological evidence links ambient PM2.5 exposure to elevated Parkinson’s disease (PD) risk, yet the neurotoxicity triggered by PM2.5 multi-pollutant mixtures under real co-exposure scenarios remains insufficiently elucidat...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/jox16060184
Mickaël Hiligsmann, John А. Kanis, Juliet Elizabeth Compston, Cyrus C. Cooper et al. • Calcified Tissue International
(2013)
We review the various aspects of health technology assessment in osteoporosis, including epidemiology and burden of disease, and assessment of the cost-effectiveness of recent advances in the treatment of osteoporosis and the prevention of ...
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DOI: https://doi.org/10.1007/s00223-013-9724-8
PMC: 3696176
Sai Ho Ling, Hak‐Keung Lam • Algorithms
(2019)
Health technology research brings together complementary interdisciplinary research skills in the development of innovative health technology applications. Recent research indicates that artificial intelligence can help achieve outstanding ...
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DOI: https://doi.org/10.3390/a12100202
Jamieson D Gray, Lukasz S Wylezinski, Charles F Spurlock • BMJ Health & Care Informatics
(2026)
Objectives To develop and evaluate a machine learning (ML) model that predicts Crohn’s disease (CD) patients responsible for the top quartile of healthcare spending.Methods De-identified commercial claims (2016–2018) from ~267 000 continuou...
DOAJ
Open Access (DOAJ)
DOI: 10.1136/bmjhci-2025-101761
Willassen Nils P, Flå Tor, Thorvaldsen Steinar • BMC Bioinformatics
(2010)
Abstract Background Statistical bioinformatics is the study of biological data sets obtained by new micro-technologies by means of proper statistical methods. For a better understanding of environmental adaptations of proteins, orthologous ...
DOAJ
Open Access (DOAJ)
DOI: 10.1186/1471-2105-11-573
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...
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Open Access (DOAJ)
DOI: 10.1016/j.dib.2021.107478
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
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...
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DOI: https://doi.org/10.2174/1874431101004010021
PMC: 2916206
Friedrich Wingert (1981)
1. Information Processing in Medicine.- 1.1 Introduction.- 1.2 Overlap With Other Disciplines.- 2. Informatics.- 2.1 Structure.- 2.2 Fundamental Concepts.- 2.2.1 Message and Information.- 2.2.1.1 Events, Probability.- 2.2.1.2 SHANNON'S Info...
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Mona Duggal, Anshul Chauhan, Vishali Gupta, Ankita Kankaria et al. • JMIR Medical Informatics
(2025)
Abstract
BackgroundArtificial intelligence (AI) algorithms offer an effective solution to alleviate the burden of diabetic retinopathy (DR) screening in public health settings. However, there are challenges in translating diagno...
DOAJ
Open Access (DOAJ)
DOI: 10.2196/67529
Ruimin Wang, Miaoshan Lu, Shaowei An, Jinyin Wang et al. • BMC Bioinformatics
(2023)
Abstract Background Liquid chromatography–mass spectrometry is widely used in untargeted metabolomics for composition profiling. In multi-run analysis scenarios, features of each run are aligned into consensus features by feature alignment ...
DOAJ
Open Access (DOAJ)
DOI: 10.1186/s12859-023-05525-4
Christian Lycke Ellingsen, Marta Ebbing, G. Cecilie Alfsen, Stein Emil Vollset • Population Health Metrics
(2018)
Abstract Background For injury deaths, the underlying cause of death is defined as the circumstances leading to the injury. When this information is missing, the ICD-10 code X59 (Exposure to unspecified factor) is used. Lack of knowledge of...
DOAJ
Open Access (DOAJ)
DOI: 10.1186/s12963-018-0176-2
Ariel A. Hippen, Dalia K. Omran, Lukas M. Weber, Euihye Jung et al. • Genome Biology
(2023)
Abstract Background Single-cell gene expression profiling provides unique opportunities to understand tumor heterogeneity and the tumor microenvironment. Because of cost and feasibility, profiling bulk tumors remains the primary population-...
DOAJ
Open Access (DOAJ)
DOI: 10.1186/s13059-023-03077-7
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...
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Open Access (DOAJ)
DOI: 10.1038/s41597-026-06735-0
Kai-Chih Pai, Wen-Cheng Chao, Yu-Len Huang, Ruey-Kai Sheu et al. • Digital Health
(2022)
Objective The aim of this study was to develop an artificial intelligence–based model to detect the presence of acute respiratory distress syndrome (ARDS) using clinical data and chest X-ray (CXR) data. Method The transfer learning method w...
DOAJ
Open Access (DOAJ)
DOI: 10.1177/20552076221120317
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
Robinson Spencer, Fadi Thabtah, Neda Abdelhamid, Michael Thompson • Digital Health
(2020)
Machine learning has been used successfully to improve the accuracy of computer-aided diagnosis systems. This paper experimentally assesses the performance of models derived by machine learning techniques by using relevant features chosen b...
DOAJ
Open Access (DOAJ)
DOI: 10.1177/2055207620914777
Daigle Bernie J, Roh Min K, Petzold Linda R, Niemi Jarad • BMC Bioinformatics
(2012)
Abstract Background A prerequisite for the mechanistic simulation of a biochemical system is detailed knowledge of its kinetic parameters. Despite recent experimental advances, the estimation of unknown parameter values from observed data i...
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Open Access (DOAJ)
DOI: 10.1186/1471-2105-13-68