Results 121 to 130 of about 56,385 (212)

Evaluating Machine Learning Models for Classifying Diabetes Using Demographic, Clinical, Lifestyle, Anthropometric, and Environmental Exposure Factors. [PDF]

Toxics
Tasnia R, Obeng-Gyasi E.
europepmc   +1 more source

Vibration‐controlled transient elastography in pediatric metabolic dysfunction‐associated steatotic liver disease

Journal of Pediatric Gastroenterology and Nutrition, EarlyView.
Abstract Objectives Metabolic dysfunction‐associated steatotic liver disease (MASLD) is a prevalent disease in children. Vibration‐controlled transient elastography (VCTE) offers a noninvasive alternative to liver biopsy, using controlled attenuation parameter (CAP) to estimate steatosis and liver stiffness measurement (LSM) for fibrosis.
Lauren B. Nichols, Sebastian G. J. Oakes, Cynthia Behling, Kathryn Harlow Adams, Mark H. Fishbein, Paula Hertel, Chao Jarasvaraparn, Jean P. Molleston, Marialena Mouzaki, Claude B. Sirlin, Miriam B. Vos, Laura A. Wilson, Stavra A. Xanthakos, Jeffrey B. Schwimmer, for the NASH CRN   +14 more
wiley   +1 more source

Air quality index AQI classification based on hybrid particle swarm and grey wolf optimization with ensemble machine learning model. [PDF]

Sci Rep
Elabd E, Hamouda HM, Ali MAM, Hamid AS, Fouad Y.   +4 more
europepmc   +1 more source

Metabolic and hormonal serum markers in early childhood: Follow‐up of a randomized controlled trial during infancy evaluating a modified, low‐protein infant formula

Journal of Pediatric Gastroenterology and Nutrition, EarlyView.
Abstract Objectives High protein intake during infancy has been linked to accelerated weight gain and increased obesity risk. This study aimed to examine the effects of a low‐protein formula during the first 6 months of life on blood metabolic and hormonal markers during early childhood. Methods Formula‐fed infants (<45 days) were randomized to receive
Jacqueline Muts, Stefanie M. P. Kouwenhoven, Nadja Antl, Marieke Abrahamse‐Berkeveld, Britt J. van Keulen, Hans Demmelmair, Lesca M. Holdt, Wolfgang Wilfert, Chris H. P. van den Akker, Johannes B. van Goudoever, Berthold Koletzko   +10 more
wiley   +1 more source

Artificial Intelligence Applications in Chronic Obstructive Pulmonary Disease: A Global Scoping Review of Diagnostic, Symptom-Based, and Outcome Prediction Approaches. [PDF]

Biomedicines
Pinheira A, Casal-Guisande M, Represas-Represas C, Torres-Durán M, Comesaña-Campos A, Fernández-Villar A.   +5 more
europepmc   +1 more source

Measuring Organizational Resilience in a Resource‐Constrained Environment: An Empirical Study of Micro‐and‐Small‐Service‐Enterprises (MSSEs) in Nigeria

Strategic Change, EarlyView.
ABSTRACT There is growing evidence that a preponderance of resilience indicators discussed in management scholarship is often developed with limited consideration of the context in which micro‐and‐small‐service enterprises (MSSEs) operate. Given their strategic relevance to developing economies, it thus becomes necessary to understand the meaning of ...
Justin Okoli, Toyin Samuel Olowogbon, George Chinanu Mbaeyi   +2 more
wiley   +1 more source

Machine learning models for predicting vasospasm following ruptured intracranial aneurysms: a systematic review and meta-analysis. [PDF]

Acta Neurochir (Wien)
Palermo M, D'Arrigo S, Olivi A, Sturiale CL.   +3 more
europepmc   +1 more source

Disparities in Breast Cancer Screening, Diagnosis, and Outcomes Among Vietnamese American Women: A Systematic Review

Journal of Surgical Oncology, EarlyView.
ABSTRACT Breast cancer remains a leading cause of cancer‐related mortality among women globally. Vietnamese women experience unique challenges, including sociocultural, linguistic, and systemic barriers, contributing to disparities in screening utilization, late‐stage diagnoses, and treatment outcomes.
Antoinette T. Nguyen, Emily D. Duckworth, Rena A. Li, Robert D. Galiano   +3 more
wiley   +1 more source

Objective Bayesian trend filtering via adaptive piecewise polynomial regression. [PDF]

J Appl Stat
Kang SG, Kim Y.
europepmc   +1 more source

PNNL‐TUNAMELT: Toward automating the detection of interactions with marine energy devices using acoustic camera sensors

Limnology and Oceanography: Methods, EarlyView.
Abstract Acoustic cameras, or imaging sonars, are often used to monitor marine energy sites in regions where the water is too dark or turbid for optical sensing. To do so more effectively, scientists are investigating automated detection methodologies to use on these data.
Theodore Nowak, Garrett Staines, Blerim Abdullai   +2 more
wiley   +1 more source