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103 resultados encontrados.

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Predicting skeletal fluorosis severity using machine learning across diverse fluoride-exposed populations in China
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Predicting skeletal fluorosis severity using machine learning across diverse fluoride-exposed populations in China
Hongjiang Long et al · Nature Portfolio · 2026 · ISSN 2045-2322
Abstract Skeletal fluorosis (SF) is a chronic metabolic bone disease resulting from long-term excessive fluoride exposure, affecting millions worldwide. Conventional diagnosis relies on radiographic evidence, which often...
LCC LCC:Medicine; TENDOlNjaWVuY2U~Idioma eng
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RETRACTED: A face image classification method of autistic children based on the two-phase transfer learning
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RETRACTED: A face image classification method of autistic children based on the two-phase transfer learning
Ying Li et al · Frontiers Media S.A · 2023 · ISSN 1664-1078
Autism spectrum disorder (ASD) is a neurodevelopmental disorder, which seriously affects children’s normal life. Screening potential autistic children before professional diagnose is helpful to early detection and earl...
LCC TENDOlBzeWNob2xvZ3k~Idioma eng
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Spatial model of breast cancer susceptibility using machine learning in Surabaya, Indonesia
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Spatial model of breast cancer susceptibility using machine learning in Surabaya, Indonesia
La Saudi et al · Elsevier · 2026 · ISSN 1195-1036
Surabaya City is one of the urban areas in Indonesia with a high incidence of breast cancer. Multiple factors, including genetic predisposition, lifestyle patterns, and environmental exposures, influence this condition. ...
LCC TENDOkdlb2Rlc3k~; TENDOkdlb2dyYXBoeSAoR2VuZXJhbCk~Idioma eng
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The Impact of Deep Learning in Brain Tumour Analysis
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The Impact of Deep Learning in Brain Tumour Analysis
Sangeeta Giri et al · MMU Press · 2025 · ISSN 2821-370X
The need for early and precise identification of abnormalities has made the detection and classification of brain tumours essential components of medical diagnosis. Because brain tumours are naturally complex and can hav...
LCC LCC:Electronic computers. Computer science; TENDOkluZm9ybWF0aW9uIHRlY2hub2xvZ3k~Idioma eng
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The Impact of Early Clinical Exposure on Competency Development in Dental Students: A Systematic Review and Meta-Analysis
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The Impact of Early Clinical Exposure on Competency Development in Dental Students: A Systematic Review and Meta-Analysis
Xuefei Pang et al · Elsevier · 2026 · ISSN 0020-6539
Introduction and aims: Early clinical exposure (ECE) integrates students into clinical settings during theoretical learning, aiming to foster professional development. This systematic review aims to comprehensively evalu...
LCC TENDOkRlbnRpc3RyeQ~~Idioma eng
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The Structural Extension Spine: Modelling the emergence of algebraic reasoning in early mathematics
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The Structural Extension Spine: Modelling the emergence of algebraic reasoning in early mathematics
Jacques D. du Plessis · AOSIS · 2026 · ISSN 2958-8650
Background: The transition from arithmetic to algebra remains a persistent challenge in early mathematics education. While structural awareness is widely recognised as foundational to this shift, the developmental mecha...
LCC TENDOkVkdWNhdGlvbg~~Idioma eng
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Two-cohort machine learning approach for predicting the risk of secondary hyperlipidemia in patients with depression
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Two-cohort machine learning approach for predicting the risk of secondary hyperlipidemia in patients with depression
Ziheng Sun et al · Frontiers Media S.A · 2026 · ISSN 1664-2392
BackgroundSecondary hyperlipidemia is a common and serious complication in patients with clinically diagnosed depressive disorders, yet early screening tools are lacking. This study aims to develop and validate a machine...
LCC LCC:Diseases of the endocrine glands. Clinical endocrinologyIdioma eng
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Two-staged CT-based radiomics model in characterising early-stage ovarian carcinoma and benign ovarian masses
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Two-staged CT-based radiomics model in characterising early-stage ovarian carcinoma and benign ovarian masses
Jiarui Zhang et al · BMC · 2026 · ISSN 1757-2215
Abstract Background Characterisation of CT detected ovarian masses is challenging with overlapping imaging features, unreliable biomarker or clinical presentation. We proposed a two-staged CT-based radiomics model to ide...
LCC TENDOkd5bmVjb2xvZ3kgYW5kIG9ic3RldHJpY3M~Idioma eng
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A generalizable eye disease detection method based on Zero-Shot Learning
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A generalizable eye disease detection method based on Zero-Shot Learning
Chengchang Pan et al · Nature Portfolio · 2026 · ISSN 2730-664X
Abstract Background Deep learning faces a significant bottleneck in medical image analysis due to its reliance on large-scale, expert-annotated datasets. This challenge is acute in ophthalmology, particularly for detecti...
LCC LCC:MedicineIdioma eng
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Advancing Diabetic Retinopathy Screening With DR-NetFusion: A Hybrid Deep Learning Model for Enhanced Detection and Interpretability
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Advancing Diabetic Retinopathy Screening With DR-NetFusion: A Hybrid Deep Learning Model for Enhanced Detection and Interpretability
Sunder R. et al · Wiley · 2026 · ISSN 1099-0526
Diabetic retinopathy (DR) is one of the leading causes of preventable blindness worldwide, making timely and accurate detection crucial for effective management. This study introduces DR-NetFusion, a novel hybrid deep le...
LCC LCC:Electronic computers. Computer scienceIdioma eng
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Artificial Intelligence-powered tiered early warning framework addressing high false alarm rates for in-hospital mortality prediction
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Artificial Intelligence-powered tiered early warning framework addressing high false alarm rates for in-hospital mortality prediction
Lijuan Wu et al · Nature Portfolio · 2026 · ISSN 2398-6352
Abstracts Alert fatigue remains a major barrier to the effective deployment of predictive models in emergency care, particularly in the context of rare but critical outcomes such as in-hospital mortality (IHM), which oft...
LCC TENDOkNvbXB1dGVyIGFwcGxpY2F0aW9ucyB0byBtZWRpY2luZS4gTWVkaWNhbCBpbmZvcm1hdGljcw~~Idioma eng
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Critical thinking in early medical education: experiences from a first-year science course
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Critical thinking in early medical education: experiences from a first-year science course
Moteeb Alhamidani et al · Frontiers Media S.A · 2026 · ISSN 2296-858X
IntroductionCritical thinking is emphasized as an important learning aim in early medical education, yet how students experience learning this capability in practice remains underexplored. Understanding students’ exper...
LCC TENDOk1lZGljaW5lIChHZW5lcmFsKQ~~Idioma eng
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DAGIS Salo cohort profile: a longitudinal and cross-sectional study to identify environmental and individual factors linked to health behaviours, recovery from stress, weight and learning outcomes among Finnish schoolchildren
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DAGIS Salo cohort profile: a longitudinal and cross-sectional study to identify environmental and individual factors linked to health behaviours, recovery from stress, weight and learning outcomes among Finnish schoolchildren
Josefine Kailaheimo-Björkqvist et al · BMC · 2026 · ISSN 1471-2458
Abstract Background The global prevalence of childhood obesity has increased significantly, with World Health Organisation emphasising the importance of early childhood for promoting healthy growth and development. In Fi...
LCC LCC:Public aspects of medicineIdioma eng
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Deep Learning-based Detection of Motor Biomarkers for Autism from Children's Video Recordings
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Deep Learning-based Detection of Motor Biomarkers for Autism from Children's Video Recordings
Yelda Fırat et al · Graz University of Technology · 2026 · ISSN 0948-6968
Autism Spectrum Disorder is a neurodevelopmental disorder with onset in early childhood and its diagnosis often requires clinical processes based on long, subjective observations. Although early diagnosis and interventio...
LCC LCC:Electronic computers. Computer scienceIdioma eng
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Domestic violence in Nepal: Insights from machine learning-based prediction
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Domestic violence in Nepal: Insights from machine learning-based prediction
MD Nahid Hassan Nishan et al · SAGE Publishing · 2026 · ISSN 2279-9036
Introduction Conducting surveys on domestic violence across diverse countries, particularly in lower-middle-income nations like Nepal, poses significant challenges in understanding and addressing the multifaceted dynamic...
LCC LCC:Public aspects of medicineIdioma eng
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Effects of Early Family/Parent Training Programs on Antisocial Behavior & Delinquency
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Effects of Early Family/Parent Training Programs on Antisocial Behavior & Delinquency
Alex R. Piquero et al · SAGE Publishing · 2008 · ISSN 1891-1803
Based on evidence that early antisocial behavior is a key risk factor for continued delinquency and crime throughout the life course, early family/parent training, among its many functions, has been advanced as an import...
LCC TENDOlNvY2lhbCBTY2llbmNlcw~~Idioma eng
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MGO-CRNN: a bio-inspired deep learning framework for accurate phonocardiogram classification
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MGO-CRNN: a bio-inspired deep learning framework for accurate phonocardiogram classification
Asmaa Ameen et al · SpringerOpen · 2026 · ISSN 2196-1115
Abstract Accurate classification of phonocardiogram (PCG) signals is vital for the early detection of cardiovascular diseases (CVDs), a leading cause of global mortality. However, conventional machine learning and deep l...
LCC TENDOkNvbXB1dGVyIGVuZ2luZWVyaW5nLiBDb21wdXRlciBoYXJkd2FyZQ~~; TENDOkluZm9ybWF0aW9uIHRlY2hub2xvZ3k~; LCC:Electronic compuIdioma eng
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Predictability improvement of Scheduled Flights Departure Time Variation using Supervised Machine Learning
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Predictability improvement of Scheduled Flights Departure Time Variation using Supervised Machine Learning
DEEPUDEV SAHADEVAN et al · Embry-Riddle Aeronautical University · 2021 · ISSN 2374-6793
The departure time uncertainty exacerbates the inaccuracy of arrival time estimation and demand for arrival slots, particularly for movements to capacity constrained airports. The Estimated Take-Off Time (ETOT) or Estima...
LCC LCC:Motor vehicles. Aeronautics. AstronauticsIdioma eng
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Prediction of Gate In Time of Scheduled Flights and Schedule Conformance using Machine Learning-based Algorithms
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Prediction of Gate In Time of Scheduled Flights and Schedule Conformance using Machine Learning-based Algorithms
DEEPUDEV SAHADEVAN et al · Embry-Riddle Aeronautical University · 2020 · ISSN 2374-6793
Prediction of Gate to Gate block time for scheduled flights is considered as one of the challenging tasks in Air Traffic Flow Management (ATFM)system. Establishing an effective and practically reliable model to manage th...
LCC LCC:Motor vehicles. Aeronautics. AstronauticsIdioma eng
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What is the expected learning curve in computer-assisted navigation for bone tumor resection?
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What is the expected learning curve in computer-assisted navigation for bone tumor resection?
Farfalli, Germán L. et al · RI ITBA · 2019 · ISSN 0009-921X
"Background Computer navigation during surgery can help oncologic surgeons perform more accurate resections. However, some navigation studies suggest that this tool may result in unique intraoperative problems and increa...
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Modeling and validation in Parkinson’s disease patients with frailty
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Modeling and validation in Parkinson’s disease patients with frailty
Guoyang Li et al · Frontiers Media S.A · 2025 · ISSN 1662-453X
IntroductionParkinson’s disease (PD) is the second most common neurodegenerative disorder. The risk of frailty is significantly higher in patients with PD than in age-matched individuals without PD. This study aimed to...
LCC LCC:Neurosciences. Biological psychiatry. NeuropsychiatryIdioma eng
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Differential Arc protein expression in dorsal and ventral striatum after moderate and intense inhibitory avoidance training
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Differential Arc protein expression in dorsal and ventral striatum after moderate and intense inhibitory avoidance training
González Franco, Diego A. et al · Academic Press Inc Elsevier Science · 2017 · ISSN 1074-7427
Intense training refers to training mediated by emotionally arousing experiences, such as aversive conditioning motivated by relatively high intensities of foot-shock, which produces a strong memory that is highly resist...
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Teachers’ perceptions of STEAM education within curriculum reform in Ghana, insights for global education agendas
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Teachers’ perceptions of STEAM education within curriculum reform in Ghana, insights for global education agendas
Isaac Buabeng et al · Springer · 2026 · ISSN 2731-5525
Abstract This study examines how kindergarten teachers in Ghana perceive and use STEAM education within the competency-based curriculum, and how these perceptions relate to broader education agendas such as the Sustainab...
LCC TENDOkVkdWNhdGlvbg~~Idioma eng
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AI-based knee osteoarthritis progression prediction: a comprehensive global bibliometric and hotspot evolution analysis (2010–2025)
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AI-based knee osteoarthritis progression prediction: a comprehensive global bibliometric and hotspot evolution analysis (2010–2025)
Ekrem Özdemir et al · BMC · 2026 · ISSN 2234-2451
Abstract Background Knee osteoarthritis (OA) is a leading global cause of disability, yet conventional tools lack sensitivity for early detection and precise prognostication. Artificial intelligence (AI) and machine lear...
LCC TENDOk9ydGhvcGVkaWMgc3VyZ2VyeQ~~Idioma eng
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