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Early Retinal Microvascular Alterations in Young Type 1 Diabetic Patients without Clinical Retinopathy

Alexandra Oltea Dan, Alin Ștefănescu-Dima, Andrei Teodor Bălășoiu, Ileana Puiu et al. • Diagnostics (2023)

The purpose of this study is to identify and quantify preclinical changes with the help of optical coherence tomography angiography (OCTA) within the retinal microcirculation of young type 1 diabetes (T1D) patients without clinical signs of...

DOAJ Open Access (DOAJ) DOI: 10.3390/diagnostics13091648

From Connectivity to Controllability: Unraveling the Brain Biomarkers of Major Depressive Disorder

Chunyu Pan, Ying Ma, Lifei Wang, Yan Zhang et al. • Brain Sciences (2024)

Major Depressive Disorder (MDD) is a significant neurological condition associated with aberrations in brain functional networks. Traditional studies have predominantly analyzed these from a network topology perspective. However, given the ...

DOAJ Open Access (DOAJ) DOI: 10.3390/brainsci14050509

A genome-wide association study on meat consumption in a Japanese population: the Japan Multi-Institutional Collaborative Cohort study

Yasuyuki Nakamura, Akira Narita, Yoichi Sutoh, Nahomi Imaeda et al. • Journal of Nutritional Science (2021)

Recent genome-wide association studies (GWAS) on the dietary habits of the Japanese population have shown that an effect rs671 allele was inversely associated with fish consumption, whereas it was directly associated with coffee consumption...

DOAJ Open Access (DOAJ) DOI: 10.1017/jns.2021.49

Accelerated maximum likelihood parameter estimation for stochastic biochemical systems

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...

DOAJ Open Access (DOAJ) DOI: 10.1186/1471-2105-13-68

Integrating machine learning algorithms and explainable artificial intelligence approach for predicting patient unpunctuality in psychiatric clinics

Alireza Kasaie, Suchithra Rajendran • Healthcare Analytics (2023)

This study addresses patient unpunctuality, a major concern affecting patient waiting time, resource utilization, and quality of care. We develop and compare four machine learning models, including multinomial logistic regression, decision ...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.health.2023.100242

The role of medical informatics in the management of medical information

Jun Hirose, Yoshifumi Wakata, Masato Tagi, Yu Tamaki • The Journal of Medical Investigation (2020)

With progress in information and communication technology, medical information has been converted to digital formats and stored and managed using computer systems. The construction, management, and operation of medical information systems a...

OPENALEX Open Access DOI: https://doi.org/10.2152/jmi.67.27

Is telemedicine a subset of medical informatics?

Shyamala Nagendran, David Moores, Rick Spooner, Jean A. C. Triscott • Journal of Telemedicine and Telecare (2000)

Informatics has a key characteristic of a new discipline in a technically transient environment--there is no universal definition of it. This is not surprising, given its complex and diverse nature. In a broad sense informatics is the inter...

OPENALEX DOI: https://doi.org/10.1258/1357633001935563