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Remote Patient Monitoring System for Polypathological Older Adults at High Risk for Hospitalization: Retrospective Cohort Study

Damien Testa, Israa Salma, Vincent Iborra, Victoire Roussel et al. • Journal of Medical Internet Research (2025)

Abstract BackgroundHealth care systems are increasingly facing challenges posed by the aging of populations. In particular, hospitalization, both initial and subsequent, is often observed among older adult patients. However, res...

DOAJ Open Access (DOAJ) DOI: 10.2196/71527

Effectiveness and Related Factors of Narrative Messages in Correcting Health-Related Misinformation: Protocol for a Systematic Review

Tsuyoshi Okuhara, Hiroko Okada, Rie Yokota • JMIR Research Protocols (2025)

BackgroundThe internet and social media have become essential sources of health information for patients and citizens; however, they often disseminate misinformation that lacks scientific evidence. Health-related misinformation can undermin...

DOAJ Open Access (DOAJ) DOI: 10.2196/69414

Implementing and Evaluating a National Integrated Digital Registry and Clinical Decision Support System in Early Intervention in Psychosis Services (Early Psychosis Informatics Into Care): Co-Designed Protocol

Siân Lowri Griffiths, Graham K Murray, Yanakan Logeswaran, John Ainsworth et al. • JMIR Research Protocols (2024)

BackgroundEarly intervention in psychosis (EIP) services are nationally mandated in England to provide multidisciplinary care to people experiencing first-episode psychosis, which disproportionately affects deprived and ethnic minority yout...

DOAJ Open Access (DOAJ) DOI: 10.2196/50177

Indivisibility and Variety of Medical Informatics

Hans-Jürgen Seelos • Methods of Information in Medicine (1988)

Summary In recent editorials it has been pointed out that medical informatics, seen as comprehensive health care informatics, should be understood as the science of information processing and engineering of automated information systems wit...

OPENALEX DOI: https://doi.org/10.1055/s-0038-1635536

Medical Informatics and Pediatrics-Reply

Mitchell J. Feldman • Archives of Pediatrics and Adolescent Medicine (1996)

We, too, are pleased by the contributions that theArchiveshas made to the medical informatics literature. It is noteworthy that from a historical perspective, the American Journal of Diseases of Children had a reputation for publishing land...

OPENALEX DOI: https://doi.org/10.1001/archpedi.1996.02170330108024

Behind the scars: adolescents with non-suicidal self-injury disorder show profound personality pathology

Manuela Gander, Kirstin Goth, Josef Fritz, Kathrin Sevecke • Child and Adolescent Psychiatry and Mental Health (2026)

Abstract Background Non-suicidal self-injury is a significant clinical concern in adolescent psychiatry and frequently co-occurs with a range of psychiatric disorders, including mood disorders, eating disorders, substance use disorders, and...

DOAJ Open Access (DOAJ) DOI: 10.1186/s13034-026-01075-8

A Severe Acute Respiratory Syndrome extranet: supporting local communication and information dissemination

Kealey Cathy M, Akhtar-Danesh Noori, Valaitis Ruta K, Brunetti Glenn M et al. • BMC Medical Informatics and Decision Making (2005)

Abstract Background The objective of this study was to explore the use and perceptions of a local Severe Acute Respiratory Syndrome (SARS) Extranet and its potential to support future information and communication applications. The SARS Ext...

DOAJ Open Access (DOAJ) DOI: 10.1186/1472-6947-5-17

Identifying peer experts in online health forums

V.G.Vinod Vydiswaran, Manoj Reddy • BMC Medical Informatics and Decision Making (2019)

Abstract Background Online health forums have become increasingly popular over the past several years. They provide members with a platform to network with peers and share information, experiential advice, and support. Among the members of ...

DOAJ Open Access (DOAJ) DOI: 10.1186/s12911-019-0782-3

The deep learning applications in IoT-based bio- and medical informatics: a systematic literature review

Zahra Amiri, Arash Heidari, Nima Jafari Navimipour, Mansour Esmaeilpour et al. • Neural Computing and Applications (2024)

Abstract Nowadays, machine learning (ML) has attained a high level of achievement in many contexts. Considering the significance of ML in medical and bioinformatics owing to its accuracy, many investigators discussed multiple solutions for ...

OPENALEX cc-by DOI: https://doi.org/10.1007/s00521-023-09366-3

Penetration and familiarity of false belief on neuroscience among students and its modifiability

Takeshi Hatta, Taketoshi Hatta, Kazuhisa Todayama, Minoru Karasawa • Journal of Human Environmental Studies (2010)

In Study 1, the degrees of penetration and familiarity of false belief on neuroscience, especially brain imaging, among students were surveyed using a questionnaire technique. A total number of 485 students from medical school, school of nu...

DOAJ Open Access (DOAJ) DOI: 10.4189/shes.8.155

Impact of a Mobile App (LoAD Calc) on the Calculation of Maximum Safe Doses of Local Anesthetics: Protocol for a Randomized Controlled Trial

Pietro Elias Fubini, Georges Louis Savoldelli, Tal Sara Beckmann, Caroline Flora Samer et al. • JMIR Research Protocols (2024)

BackgroundLocal anesthetics (LAs) are regularly used to alleviate pain during medical or surgical procedures. Their use is generally considered safe, but exceeding the maximum recommended doses can lead to LA systemic toxicity, a rare but p...

DOAJ Open Access (DOAJ) DOI: 10.2196/53679

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

Exploring feature selection and classification methods for predicting heart disease

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

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

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