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Machine learning framework for early identification of high-spending Crohn’s disease patients using administrative claims

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

Mobile health approaches to disease surveillance in Africa; Wellvis COVID triage tool

Ayomide Owoyemi, Ron Ikpe, Mariam Toye, Ayesan Rewane et al. • Digital Health (2021)

COVID-19 has rapidly spread across the globe and was declared a pandemic by the World Health Organization (WHO). The COVID-19 infection continues to spread across Africa. In Africa, mobile phone applications have been used for the surveilla...

DOAJ Open Access (DOAJ) DOI: 10.1177/2055207621996876

Electronic Cigarette Use Is Not Associated with COVID-19 Diagnosis

Thulasee Jose, Ivana T. Croghan, J. Taylor Hays, Darrell R. Schroeder et al. • Journal of Primary Care & Community Health (2021)

This analysis tested the hypothesis that current e-cigarette use was associated with an increased risk of SARS-CoV-2 infection in patients seeking medical care. E-cigarette and conventional cigarette use were ascertained using a novel elect...

DOAJ Open Access (DOAJ) DOI: 10.1177/21501327211024391

Optimal@NRW: optimized acute care of nursing home residents using an intersectoral telemedical cooperation network — study protocol for a stepped-wedge trial

David Brücken, Jenny Unterkofler, Sophie Pauge, Jonas Bienzeisler et al. • Trials (2022)

Abstract Background Increasing life expectancy is associated with a growing number of people living in nursing homes, while the availability of outpatient medical care, especially from family doctors, is stagnating in this sector. Consequen...

DOAJ Open Access (DOAJ) DOI: 10.1186/s13063-022-06613-1

Association of androgen receptor and tumour-infiltrating lymphocytes with bone recurrence in triple-negative breast cancer

Petra Ilenič, Ajda Herman, Erik Langerholc, Barbara Gazić et al. • Journal of Bone Oncology (2024)

Background: As compared to endocrine responsive breast cancer bone is less frequent site of distant recurrence in triple-negative breast cancer (TNBC). A biomarker which predicts bone recurrence would allow a more personalized treatment app...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.jbo.2023.100518

Artificial intelligence–aided diagnosis model for acute respiratory distress syndrome combining clinical data and chest radiographs

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

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

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

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

Brain perfusion imaging in neonates

Jérôme Baranger, Olivier Villemain, Matthias Wagner, Mariella Vargas-Gutierrez et al. • NeuroImage: Clinical (2021)

Abnormal variations of the neonatal brain perfusion can result in long-term neurodevelopmental consequences and cerebral perfusion imaging can play an important role in diagnostic and therapeutic decision-making. To identify at-risk situati...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.nicl.2021.102756

Dataset on perception of public college students on underage drinking in Nigeria

Olujide A. Adekeye, Emmanuel O. Amoo, Sussan O. Adeusi, Olufunke O. Chenube et al. • Data in Brief (2019)

Alcohol is the most widely used substance of abuse among youths in Nigeria. Underage drinking poses a serious public health problem in most colleges and despite the health and safety risk, consumption of alcohol is rising. Having recourse t...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.dib.2019.103930

Trends in Proportion of Delirium Among Older Emergency Department Patients in South Korea, 2017–2022

Jeongmin Moon, Seonji Kim, Daesung Lim, Ho Kyung Sung et al. • Western Journal of Emergency Medicine (2025)

Introduction: Delirium is a critical neuropsychiatric condition that surged among older adults during the coronavirus disease 2019 (COVID-19) pandemic, likely due to social isolation resulting from distancing measures. In this study we exam...

DOAJ Open Access (DOAJ) DOI: 10.5811/westjem.41507

A Focus on Simulation in Medical Informatics

James G. Anderson • Journal of the American Medical Informatics Association (2002)

This special issue of JAMIA addresses simulation, a methodology that holds great promise for the advancement of information technology in health care. Simulation has been termed a third domain, complementing both natural language and mathem...

OPENALEX Open Access DOI: https://doi.org/10.1197/jamia.m1167 PMC: 346642

Health-related quality of life in Chinese population with non-alcoholic fatty liver disease: a national multicenter survey

Rui Huang, Jian-Gao Fan, Jun-Ping Shi, Yi-Min Mao et al. • Health and Quality of Life Outcomes (2021)

Abstract Background Health Related Quality of Life (HRQL) is a multi-dimensional construct that can comprehensively evaluate the patient’s health status, including physical, emotional, mental and social well-being. In this study, we aimed t...

DOAJ Open Access (DOAJ) DOI: 10.1186/s12955-021-01778-w

Denosumab and Bisphosphonate Treatment of Osteoporosis in Renal Transplant Recipients

Serdar Şahin, Nurhan Seyahi, Sinan Trabulus, Hande Mefkure Özkaya et al. • Cerrahpaşa Medical Journal (2021)

Objective: Kidney transplant recipients are at risk of losing bone mineral density. Osteoporosis and fractures cause serious complications in renal transplant recipients. We aimed to evaluate the efficacy and safety of bisphosphonate and de...

DOAJ Open Access (DOAJ) DOI: 10.5152/cjm.2021.21039

Argumentation approaches for explanaible AI in medical informatics

Luciano Caroprese, Eugenio Vocaturo, Ester Zumpano • Intelligent Systems with Applications (2022)

Artificial Intelligence algorithms are powerful in performing accurate predictions, but they are often considered black boxes as they do not provide any explanation about how outputs are derived from inputs or why a decision is taken. There...

OPENALEX cc-by-nc-nd DOI: https://doi.org/10.1016/j.iswa.2022.200109