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A mapping of facilitators and barriers to evidence-based management in health systems: a scoping review study

Tahereh Shafaghat, Mohammad Hasan Imani Nasab, Mohammad Amin Bahrami, Zahra Kavosi et al. • Systematic Reviews (2021)

Abstract Background Healthcare settings are complex, and the decision-making process is usually complicated, too. Precise use of best evidence from different sources for increasing the desired outcomes is the result of EBM. Therefore, this ...

DOAJ Open Access (DOAJ) DOI: 10.1186/s13643-021-01595-8

Policy Recommendations for Information Prescribing to Heart Failure Patients to Reduce Readmissions, Mortality, and Costs

Mina Mahami-Oskouei, Vahideh Zarea Gavgani, Faranak Kazemi Majd • Journal of Caring Sciences (2026)

Introduction: Heart failure is a leading cause of hospitalization and mortality, with frequent readmissions mainly due to poor self-care knowledge and low medication adherence. These readmissions increase healthcare costs and reduce patient...

DOAJ Open Access (DOAJ) DOI: 10.34172/jcs.026.36567

The AST/ALT ratio as a mediator of heavy metal exposure and diabetic kidney disease (DKD) risk: A NHANES study

Yu Li, Juan Chai, Jinjuan Chen, Jiayin Du et al. • Scientific Reports (2025)

Abstract The potential impact of heavy metal exposure on the progression of diabetic kidney disease (DKD) remains a subject of scientific inquiry. While some studies have hinted at a correlation, definitive evidence is still lacking. It is ...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41598-025-23843-w

Lymphoid Enhancer Factor 1 Contributes to Hepatocellular Carcinoma Progression Through Transcriptional Regulation of Epithelial‐Mesenchymal Transition Regulators and Stemness Genes

Chih‐Li Chen, Yu‐Shuen Tsai, Yen‐Hua Huang, Yuh‐Jin Liang et al. • Hepatology Communications (2018)

Lymphoid enhancer factor 1 (LEF1) activity is associated with progression of several types of cancers. The role of LEF1 in progression of hepatocellular carcinoma (HCC) remains poorly known. We investigated LEF1 expression in HCC and its in...

DOAJ Open Access (DOAJ) DOI: 10.1002/hep4.1229

Predicting hospital admissions from individual patient data (IPD): an applied example to explore key elements driving external validity

Rafael Perera, Marjan Van Den Akker, Kym I E Snell, Joerg J Meerpohl et al. • BMJ Open (2021)

Objective To explore factors that potentially impact external validation performance while developing and validating a prognostic model for hospital admissions (HAs) in complex older general practice patients.Study design and setting Using ...

DOAJ Open Access (DOAJ) DOI: 10.1136/bmjopen-2020-045572

A recent update on development, synthesis methods, properties and application of natural products derived carbon dots

Soumitra Sahana, Anupam Gautam, Rajveer Singh, Shivani Chandel • Natural Products and Bioprospecting (2023)

Abstract Natural resources are practically infinitely abundant in nature, which stimulates scientists to create new materials with inventive uses and minimal environmental impact. Due to the various benefits of natural carbon dots (NCDs) fr...

DOAJ Open Access (DOAJ) DOI: 10.1007/s13659-023-00415-x

Automation of a problem list using natural language processing

Stéphane M. Meystre, Peter John Haug • BMC Medical Informatics and Decision Making (2005)

BACKGROUND: The medical problem list is an important part of the electronic medical record in development in our institution. To serve the functions it is designed for, the problem list has to be as accurate and timely as possible. However,...

OPENALEX cc-by DOI: https://doi.org/10.1186/1472-6947-5-30 PMC: 1208893

Suicide Note Classification Using Natural Language Processing: A Content Analysis

John P Pestian, Henry A. Nasrallah, Paweł Matykiewicz, Aurora J. Bennett et al. • Biomedical Informatics Insights (2010)

Suicide is the second leading cause of death among 25-34 year olds and the third leading cause of death among 15-25 year olds in the United States. In the Emergency Department, where suicidal patients often present, estimating the risk of r...

OPENALEX cc-by-nc DOI: https://doi.org/10.4137/bii.s4706 PMC: 3107011

Identification of confounders and estimating the causal effect of place of birth on age-specific childhood vaccination

Ashagrie Sharew Iyassu, Haile Mekonnen Fenta, Zelalem G. Dessie, Temesgen T. Zewotir • BMC Medical Informatics and Decision Making (2024)

Abstract Background In causal analyses, some third factor may distort the relationship between the exposure and the outcome variables under study, which gives spurious results. In this case, treatment groups and control groups that receive ...

DOAJ Open Access (DOAJ) DOI: 10.1186/s12911-024-02827-2

Zum Einsatz von Informationstechnologie zur Verbesserung der Arzneimitteltherapiesicherheit (Memorandum AMTS-IT)

Ammenwerth, Elske, Aly, Amin-Farid, Bürkle, Thomas, Christ, Petra et al. • GMS Medizinische Informatik, Biometrie und Epidemiologie (2014)

[english] Information technology in health care has a clear potential to improve quality and efficiency of health care, especially in the area of medication processes. On the other side, existing studies show possible adverse effects on pat...

DOAJ Open Access (DOAJ) DOI: 10.3205/mibe000152

Cardiovascular and metabolic outcomes associated with moderate-to-severe atopic dermatitis: A systematic review and meta-analysis

Suvijak Untaaveesup, MD, Thipsukon Amnartpanich, MD, Noraworn Jirattikanwong, MD, Anchaya Boonsom, MD et al. • World Allergy Organization Journal (2025)

Background: Chronic systemic inflammation in individuals with moderate-to-severe atopic dermatitis (AD) potentially predisposes them to metabolic and cardiovascular diseases. Nevertheless, evidence with regard to such association is limited...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.waojou.2025.101035

Classifying Characteristics of Opioid Use Disorder From Hospital Discharge Summaries Using Natural Language Processing

Melissa N. Poulsen, Philip J. Freda, Vanessa Troiani, Anahita Davoudi et al. • Frontiers in Public Health (2022)

BackgroundOpioid use disorder (OUD) is underdiagnosed in health system settings, limiting research on OUD using electronic health records (EHRs). Medical encounter notes can enrich structured EHR data with documented signs and symptoms of O...

DOAJ Open Access (DOAJ) DOI: 10.3389/fpubh.2022.850619

A bibliometric analysis of natural language processing in medical research

Xieling Chen, Haoran Xie, Fu Lee Wang, Ziqing Liu et al. • BMC Medical Informatics and Decision Making (2018)

BACKGROUND: Natural language processing (NLP) has become an increasingly significant role in advancing medicine. Rich research achievements of NLP methods and applications for medical information processing are available. It is of great sig...

OPENALEX cc-by DOI: https://doi.org/10.1186/s12911-018-0594-x PMC: 5872501

A systematic review of natural language processing applied to radiology reports

Arlene Casey, Emma Davidson, Michael Poon, Hang Dong et al. • BMC Medical Informatics and Decision Making (2021)

BACKGROUND: Natural language processing (NLP) has a significant role in advancing healthcare and has been found to be key in extracting structured information from radiology reports. Understanding recent developments in NLP application to r...

OPENALEX cc-by DOI: https://doi.org/10.1186/s12911-021-01533-7 PMC: 8176715

Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review

Seyedmostafa Sheikhalishahi, Riccardo Miotto, Joel T. Dudley, Alberto Lavelli et al. • JMIR Medical Informatics (2019)

BACKGROUND: Novel approaches that complement and go beyond evidence-based medicine are required in the domain of chronic diseases, given the growing incidence of such conditions on the worldwide population. A promising avenue is the seconda...

OPENALEX cc-by DOI: https://doi.org/10.2196/12239 PMC: 6528438

Thyroid Ultrasound Appropriateness Identification Through Natural Language Processing of Electronic Health Records

Cristian Soto Jacome, MD, Danny Segura Torres, MD, Jungwei W. Fan, PhD, Ricardo Loor-Torres, MD et al. • Mayo Clinic Proceedings: Digital Health (2024)

Objective: To address thyroid cancer overdiagnosis, we aim to develop a natural language processing (NLP) algorithm to determine the appropriateness of thyroid ultrasounds (TUS). Patients and Methods: Between 2017 and 2021, we identified 18...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.mcpdig.2024.01.001

Natural Language Processing of Social Media as Screening for Suicide Risk

Glen Coppersmith, Ryan Leary, Patrick Crutchley, Alex B. Fine • Biomedical Informatics Insights (2018)

Suicide is among the 10 most common causes of death, as assessed by the World Health Organization. For every death by suicide, an estimated 138 people's lives are meaningfully affected, and almost any other statistic around suicide deaths i...

OPENALEX cc-by-nc DOI: https://doi.org/10.1177/1178222618792860 PMC: 6111391