Results 91 to 100 of about 5,745 (195)

Artificial Intelligence in Eating Disorder Treatment: A Qualitative Analysis of Clinical Opportunities, Barriers, and Ethical Considerations From Multi‐Disciplinary Focus Groups

International Journal of Eating Disorders, Volume 59, Issue 2, Page 299-310, February 2026.
ABSTRACT Objective This study explored eating disorder and Artificial Intelligence (AI) professionals' perspectives on how AI might support eating disorder treatment. Successful implementation requires insight into implementation partners' perspectives.
J. Maas, S. Franssen, M. Petkovic, S. Cardona Cano, A. E. Dingemans, A. M. van Oosterzee, M. C. T. Slof‐Op ’t Landt, E. Talavera Martinez, C. M. J. M. Vreeswijk, M. Simeunovic‐Ostojic   +9 more
wiley   +1 more source

Conceptual design of a generic data harmonization process for OMOP common data model

BMC Medical Informatics and Decision Making
Background To gain insight into the real-life care of patients in the healthcare system, data from hospital information systems and insurance systems are required. Consequently, linking clinical data with claims data is necessary.
Elisa Henke, Michele Zoch, Yuan Peng, Ines Reinecke, Martin Sedlmayr, Franziska Bathelt   +5 more
doaj   +1 more source

Integrating biomedical research and electronic health records to create knowledge-based biologically meaningful machine-readable embeddings. [PDF]

, 2019
In order to advance precision medicine, detailed clinical features ought to be described in a way that leverages current knowledge. Although data collected from biomedical research is expanding at an almost exponential rate, our ability to transform that
Baranzini, Sergio E, Butte, Atul J, Nelson, Charlotte A   +2 more
core  

Refining adverse drug reaction signals by incorporating interaction variables identified using emergent pattern mining [PDF]

, 2016
Purpose: To develop a framework for identifying and incorporating candidate confounding interaction terms into a regularised cox regression analysis to refine adverse drug reaction signals obtained via longitudinal observational data.
Bien, Brookhart, Brooks, Caster, Chambless, Cox, Davies, Goldman, Hahsler, Hoerl, Härmark, Jenna M. Reps, Lewis, Li, McGue, McMahon, Pirmohamed, Reps, Reps, Reps, Richard B. Hubbard, Ryan, Scheiber, Schneeweiss, Schuemie, Shepherd, Simon, Spruance, Therneau, Tibshirani, Uwe Aickelin, van Puijenbroek, Wu, Zou   +33 more
core   +3 more sources

Characterizing Perinatal Treatment Patterns and Outcomes in Myasthenia Gravis

Muscle &Nerve, Volume 73, Issue 2, Page 269-276, February 2026.
ABSTRACT Introduction/Aims Studies on pregnancy in myasthenia gravis (MG) are limited by small sample sizes or examine a limited number of outcomes. The objective of this study was to estimate the prevalence of perinatal and infant outcomes and characterize perinatal treatment patterns in MG.
Melanie H. Jacobson, Rupa Makadia, Ashley E. L. Anderson, Zia Choudhry, Nathan Hall, Jill Hardin, Sicong Huang, Janice M. Massey, Anna Ostropolets, Ran Sun, Rebecca Zaha, Alexis A. Krumme   +11 more
wiley   +1 more source

An Interpretable Stroke Prediction Model using Rules and Bayesian Analysis [PDF]

, 2013
We aim to produce predictive models that are not only accurate, but are also interpretable to human experts. Our models are decision lists, which consist of a series of if...then...
Letham, Benjamin, Madigan, David, McCormick, Tyler H., Rudin, Cynthia   +3 more
core   +1 more source

Examining Biomarkers for Dyslipidemia, Diabetes, and NAFLD by CDC's 2022 Extended BMI Percentiles in US Youth Aged 6–17 Years

Obesity, Volume 34, Issue 2, Page 450-459, February 2026.
ABSTRACT Objective This study examined associations between CDC's 2022 extended BMI percentiles (BMIp) and cardiometabolic biomarkers. Methods Using electronic medical record data, we included patients aged 6–17 years with BMI ≥ 85th percentile who had at least one of the following: total cholesterol, low‐density lipoprotein cholesterol (LDL), high ...
Samantha L. Pierce, Renee M. Porter, Lyudmyla Kompaniyets, Siran He, Alyson B. Goodman   +4 more
wiley   +1 more source

The OMOP common data model in Australian primary care data: Building a quality research ready harmonised dataset.

PLoS ONE
BackgroundThe use of routinely collected health data for secondary research purposes is increasingly recognised as a methodology that advances medical research, improves patient outcomes, and guides policy.
Roger Ward, Christine Mary Hallinan, David Ormiston-Smith, Christine Chidgey, Dougie Boyle   +4 more
doaj   +1 more source

Evaluating Data Quality by Proxy: Can We Evaluate All Dimensions of the European Medicines Agency Data Quality Framework for Registry‐Based Post‐Authorization Safety Studies?

Pharmacoepidemiology and Drug Safety, Volume 35, Issue 2, February 2026.
ABSTRACT Purpose An increasing number of studies based on secondary data use, including registry‐based studies, have been initiated to address post‐authorization regulatory commitments. We map differences across tools used in data quality (DQ) assessments, including those embedded in fitness‐for‐purpose (FFP) assessments, and describe their strengths ...
Pamela Dobay, Meritxell Sabidó
wiley   +1 more source

Nine Principles of Semantic Harmonization [PDF]

, 2017
Medical data is routinely collected, stored and recorded across different institutions and in a range of different formats. Semantic harmonization is the process of collating this data into a singular consistent logical view, with many approaches to ...
Cunningham, JA, Kalra, D, Van Speybroeck, M, Verbeeck, R   +3 more
core