Results 21 to 30 of about 74,936 (290)
Phenotype-based and Self-learning Inter-individual Sleep Apnea Screening with a Level IV Monitoring System [PDF]
, 2018 Purpose: We propose a phenotype-based artificial intelligence system that can self-learn and is accurate for screening purposes, and test it on a Level IV monitoring system. Methods: Based on the physiological knowledge, we hypothesize that the phenotype
Hau-Tieng Wu +8 more
core +2 more sources
Comparison of simultaneous vs sequential pars plana vitrectomy and cataract surgery
BMC Ophthalmology, 2023 Background To compare the clinical outcomes of patients undergoing sequential pars plana vitrectomy (PPV) followed by cataract extraction surgery (CE) [PPV/CE], simultaneous PPV and CE (PPV + CE), and sequential CE followed by PPV [CE/PPV].
Abdelhalim A. Awidi +5 more
doaj +1 more source
Predicting sleep disordered breathing in outpatients with suspected OSA [PDF]
, 2014 Objective To validate the utilities of Berlin, STOP and STOP-BANG Questionnaires, other patient characteristics, comorbidities, Epworth Sleepiness Scale (ESS), fractional exhaled nitric oxide (FENO) and blood markers for the prediction of sleep ...
Allardice, Gwen +7 more
core +2 more sources
Adaptive Genetic Algorithm for Crystal Structure Prediction [PDF]
, 2013 We present a genetic algorithm (GA) for structural search that combines the speed of structure exploration by classical potentials with the accuracy of density functional theory (DFT) calculations in an adaptive and iterative way. This strategy increases
Ho, K. M. +8 more
core +2 more sources
Development and Validation of eRADAR: A Tool Using EHR Data to Detect Unrecognized Dementia. [PDF]
, 2020 ObjectivesEarly recognition of dementia would allow patients and their families to receive care earlier in the disease process, potentially improving care management and patient outcomes, yet nearly half of patients with dementia are undiagnosed. Our aim
Barnes, Deborah E +7 more
core +2 more sources
BMC Infectious Diseases, 2022 Background In the Americas, endemic countries for Aedes-borne diseases such as dengue, chikungunya, and Zika face great challenges particularly since the recent outbreaks of CHIKV and ZIKV, all transmitted by the same insect vectors Aedes aegypti and Ae.
Rocio Cardenas +4 more
doaj +1 more source
Do Artificial Neural Networks Always Provide High Prediction Performance? An Experimental Study on the Insufficiency of Artificial Neural Networks in Capacitance Prediction of the 6H-SiC/MEH-PPV/Al diode [PDF]
, 2021 Abstract Recently, studies on artificial neural network model, which is one of the most effective artificial intelligence tools applied in many fields, reported that artificial neural networks are tools that offer very high prediction performance compared to traditional models.
Andaç Batur Çolak, Tamer Güzel
openaire +1 more source
Scientific Reports, 2023 Ground vibration due to blasting is identified as a challenging issue in mining and civil activities. Peak particle velocity (PPV) is one of the blasting undesirable consequences, which is resulted during emission of vibration in blasted bench.
Shahab Hosseini +3 more
doaj +1 more source
Turkish Journal of Anesthesia and Reanimation, 2017 Static monitors for assessing the fluid status during major surgeries and in critically ill patients have been gradually replaced by more accurate dynamic monitors in modern-day anaesthesia practice. Pulse pressure variation (PPV) and systolic pressure variation (SPV) are the two commonly used dynamic indices for assessing fluid responsiveness.In this ...
Abhishek, Rathore +4 more
openaire +2 more sources
Prediction of dementia in primary care patients. [PDF]
PLoS ONE, 2011 BACKGROUND: Current approaches for AD prediction are based on biomarkers, which are however of restricted availability in primary care. AD prediction tools for primary care are therefore needed. We present a prediction score based on information that can
Frank Jessen +15 more
doaj +1 more source