Results 191 to 200 of about 13,846 (260)

A refined SMOTE-ENN optimization method based on machine learning for heart rate variability data classification. [PDF]

Front Digit Health
Zhang B, Liang M, Zhou Y, Ji B, Han M, Li H, Lang X, Song Y, Gao R, Zhou Z, Qiao X.   +10 more
europepmc   +1 more source

Integrative transcriptomic and machine learning approaches reveal candidate genes for silk and venom production in Bibionomorpha (Diptera)

Insect Molecular Biology, EarlyView.
Multi‐species transcriptomics and deep learning identified candidate genes associated with silk and venom production in Bibionomorpha. Venom‐associated genes were enriched in proteases, inhibitors and pore‐forming proteins, whereas silk‐related genes showed chitin‐binding and peritrophin domains. Integrating co‐expression networks, machine learning and
Daniel Kenji Matuo, João Alfredo Teodoro, Danilo T. Amaral   +2 more
wiley   +1 more source

Advancing cardiovascular screening: deep learning-based heart-sound classification using SMOTE and temporal modeling. [PDF]

Sci Rep
Ameen A, Eldesouky Fattoh I, Abd El-Hafeez T, Ahmed K.   +3 more
europepmc   +1 more source

Anthropometric differences between twins at birth and their association with later cognitive performance

Journal of Child Psychology and Psychiatry, EarlyView.
Background Past studies indicate significant associations between birth anthropometrics, such as relative birthweight or head circumference, and later cognitive performance. Using twin data, we investigated whether these associations are confounded by genetic and environmental factors.
Robert Eves, Marco Deppe, Christian Kandler, Bastian Mönkediek, Sakari Lemola   +4 more
wiley   +1 more source

A hybrid SMOTE and Gaussian mixture model based optimized XGBoost framework for bipolar disorder detection. [PDF]

Sci Rep
Kumar S, Kumari D, Panwar A, Sagar S, Herout L, Namazi H, Bhati NS.   +6 more
europepmc   +1 more source

Self‐administered single‐session interventions for mental health in young people: A systematic review and meta‐analysis

Journal of Child Psychology and Psychiatry, EarlyView.
Background Children and young people's mental health is an area of concern worldwide. In the face of barriers such as long waits to access evidence‐based treatment, perceived stigma, and a desire to tackle challenges independently, self‐administered single‐session interventions (SSIs) have arisen as one potential solution.
Jessica Ball, Richard Meiser‐Stedman, Zoe Thompson, Kenny Chiu   +3 more
wiley   +1 more source

Accurate skin lesion classification on imbalanced dermoscopic images with high variance via the SCTFD framework. [PDF]

Sci Rep
Li X, Ouyang J, Chen Y, Diao Z, Li K, He D, Liang W, Poniszewska-Marańda A.   +7 more
europepmc   +1 more source

Emotional problems and dysregulation in children/youth with ADHD: predictive and moderating effects in a randomized controlled trial of methylphenidate and neurofeedback

Journal of Child Psychology and Psychiatry, EarlyView.
Background Children and adolescents with Attention‐Deficit/Hyperactivity Disorder (ADHD) often show increased emotional dysregulation (ED) and internalizing emotional problems (iEP). However, the predictive and moderating role of these emotional difficulties in the treatment of ADHD—particularly regarding pharmacological (methylphenidate, MPH) and non ...
Amelie Bohner, Hilario Blasco‐Fontecilla, Tomas Ros, Eric Acquaviva, Yohan Attal, Tobias Banaschewski, Sarah Baumeister, Elisa Bousquet, Aurore Bussalb, Marie Delhaye, Richard Delorme, Renate Drechsler, Allison Goujon, Alexander Häge, Louis Mayaud, Konstantin Mechler, Caroline Menache, Olivier Revol, Friederike Tagwerker, Susanne Walitza, Anna Maria Werling, Stéphanie Bioulac, Daniel Brandeis, Diane Purper‐Ouakil, Anna Kaiser   +24 more
wiley   +1 more source

A Fire Detection Method Based on a Mind-Linked Continuous-Coupled Neural Network. [PDF]

Biomimetics (Basel)
Liu K, Wang J, Yang W, Wang S, Wang J, Zhang J, Zhang Z, An X, Liu J.   +8 more
europepmc   +1 more source