Results 171 to 180 of about 17,065,182 (226)

The Challenges of Predicting Rare Outcomes: A Critical Appraisal of Machine Learning Using the Pediatric Resuscitation and Trauma Outcome (PRESTO) Model in a Tanzanian Injury Registry

open access: yesWorld Journal of Surgery, EarlyView.
Adding adult data did not improve predictability of the PRESTO model, possibly due to the fact that the lower mortality and injury severity in adults compared to children in our dataset statistically diluted the model. ABSTRACT Background Injuries are responsible for 950,000 deaths per year among children and adolescents under 18 years old.
Joao Vitor Perez de Souza   +9 more
wiley   +1 more source

Development of a Predictive Model for Patient Compliance in Enhanced Recovery After Surgery (ERAS) Programs for Colorectal Surgery

open access: yesWorld Journal of Surgery, EarlyView.
The newly developed compliance model will enable early identification of patients at risk of low adherence, thus supporting personalized perioperative management and improved recovery outcomes. ABSTRACT Background Enhanced recovery after surgery (ERAS) programs optimize perioperative care to reduce surgical stress and improve recovery.
Anas Taha   +8 more
wiley   +1 more source

Life‐history stages and behavior influence demographic classification of moose captured on remote cameras

open access: yesWildlife Biology, EarlyView.
Obtaining accurate information on demographic states, such as the age and sex classes of animals, is an important step for monitoring wildlife populations. Traditionally, demographic data are collected from harvest, aerial surveys and telemetry studies.
Alexej P. K. Sirén   +15 more
wiley   +1 more source

Combining kernelised autoencoding and centroid prediction for dynamic multi‐objective optimisation

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
Abstract Evolutionary algorithms face significant challenges when dealing with dynamic multi‐objective optimisation because Pareto optimal solutions and/or Pareto optimal fronts change. The authors propose a unified paradigm, which combines the kernelised autoncoding evolutionary search and the centroid‐based prediction (denoted by KAEP), for solving ...
Zhanglu Hou   +4 more
wiley   +1 more source

Conductivity Analysis and Thermoelectric Behaviour of Larch Standing Trees Under Lightning Currents: Role of Moisture Distribution and Carrier Motion

open access: yesHigh Voltage, EarlyView.
ABSTRACT The direct effects of lightning strikes on forest combustibles form the foundation for predicting lightning‐induced forest fires. Accurate assessment of lightning impact is hindered by limited knowledge of the conduction characteristics of standing larch trees.
Jinru Sun   +5 more
wiley   +1 more source

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