Results 171 to 180 of about 44,389 (247)

Machine Learning Model for Predicting Postoperative Pain in Cases of Irreversible Pulpitis

International Endodontic Journal, EarlyView.
ABSTRACT Aim Postoperative pain is a frequent clinical concern following endodontic treatment. This study aimed to develop and validate supervised machine learning models to predict the occurrence of postoperative pain in cases of irreversible pulpitis.
Pedro Felipe de Jesus Freitas, Ingrid Luiza Mendonça Cunha, Thalita de Paris Matos, Flares Baratto‐Filho, Bianca Marques de Mattos de Araujo, Manoel Damião Sousa‐Neto, Leandro de Moura Martins, Fernando José Herkrath, Emílio Carlos Sponchiado‐Júnior, Cristiano Miranda de Araujo   +9 more
wiley   +1 more source

Circuit-level dynamics and propagation of slow wave activity modulate their interplay during the awakening process. [PDF]

iScience
Pazienti A, Müller M, Bosman CA, Olcese U, Mattia M.   +4 more
europepmc   +1 more source

A Realist Evaluation of a Rapid Response System for Mental State Deterioration in Acute Hospital Settings

Journal of Advanced Nursing, EarlyView.
ABSTRACT Background Patient mental state deterioration presents significant challenges in acute hospital settings, affecting outcomes, increasing reliance on restrictive interventions, and placing additional strain on healthcare staff. Despite its prevalence, consensus on best practice remains limited.
Tendayi Bruce Dziruni, Alison M. Hutchinson, Sandra Keppich‐Arnold, Tracey Bucknall   +3 more
wiley   +1 more source

Integrated Control Strategies for a Precision Long-Travel Stage: Applications in Micro-Lens Fabrication. [PDF]

Micromachines (Basel)
Wang FC, Chang YT, Chang MH, Zhong BX, Chung TT, Yen JY.   +5 more
europepmc   +1 more source

Financial Time Series Uncertainty: A Review of Probabilistic AI Applications

Journal of Economic Surveys, EarlyView.
ABSTRACT Probabilistic machine learning models offer a distinct advantage over traditional deterministic approaches by quantifying both epistemic uncertainty (stemming from limited data or model knowledge) and aleatoric uncertainty (due to inherent randomness in the data), along with full distributional forecasts.
Sivert Eggen, Tord Johan Espe, Kristoffer Grude, Morten Risstad, Rickard Sandberg   +4 more
wiley   +1 more source

Research on the Design and Control Method of Robotic Flexible Magneto-Rheological Actuator. [PDF]

Sensors (Basel)
Shi R, Jian S, Chen G, Yao P.
europepmc   +1 more source

Targeting and Effectiveness of Location‐Based Policies

Journal of Regional Science, EarlyView.
ABSTRACT This paper provides new insights into the design of effective location‐based policies. In the context of European regional policy, we apply machine learning algorithms to predict regions likely to underutilize EU funding and identify the main determinants of their low absorptive capacity.
Vincenzo Carrieri, Guido de Blasio, Antonella Rita Ferrara, Rosanna Nisticò   +3 more
wiley   +1 more source

An efficient cyber-attack detection and classification in IoT networks with high-dimensional feature set using Levenberg-Marquardt optimized feedforward neural network. [PDF]

PLoS One
Kuang Q, Kuang X.
europepmc   +1 more source

A Systematic Review on Applications of Artificial Intelligence for Obesity Prevention

Obesity Reviews, EarlyView.
ABSTRACT This systematic review examines the applications of artificial intelligence (AI) in preventing obesity, addressing a critical public health issue that affects a substantial portion of the population. With obesity rates rising alarmingly, particularly in the United States, this review synthesizes findings from 46 studies published between 2008 ...
Atefehsadat Haghighathoseini, Shuo‐yu Lin, Ge Song, Ruopeng An, Hong Xue   +4 more
wiley   +1 more source

Neuronal heterogeneity of normalization strength in a circuit model. [PDF]

Sci Adv
Song D, Ruff D, Cohen M, Huang C.
europepmc   +1 more source