AIMC Topic: Young Adult
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A Multidimensional Neural Maturation Index Reveals Reproducible Developmental Patterns in Children and Adolescents.
The Journal of neuroscience : the official journal of the Society for Neuroscience
Jan 2, 2020
Adolescence is a time of extensive neural restructuring, leaving one susceptible to atypical development. Although neural maturation in humans can be measured using functional and structural MRI, the subtle patterns associated with the initial stages...
Stress among Portuguese Medical Students: the EuStress Solution.
Journal of medical systems
Jan 2, 2020
There has been an increasing attention to the study of stress. Particularly, college students often experience high levels of stress that are linked to several negative outcomes concerning academic functioning, physical, and mental health. In this pa...
A Convolutional Neural Network for Real Time Classification, Identification, and Labelling of Vocal Cord and Tracheal Using Laryngoscopy and Bronchoscopy Video.
Journal of medical systems
Jan 2, 2020
BACKGROUND: The use of artificial intelligence, including machine learning, is increasing in medicine. Use of machine learning is rising in the prediction of patient outcomes. Machine learning may also be able to enhance and augment anesthesia clinic...
A Multimodal Wearable System for Continuous and Real-Time Breathing Pattern Monitoring During Daily Activity.
IEEE journal of biomedical and health informatics
Dec 31, 2019
OBJECTIVE: This study aims to understand breathing patterns during daily activities by developing a wearable respiratory and activity monitoring (WRAM) system.
Comparison of supervised machine learning classification techniques in prediction of locoregional recurrences in early oral tongue cancer.
International journal of medical informatics
Dec 28, 2019
BACKGROUND: The proper estimate of the risk of recurrences in early-stage oral tongue squamous cell carcinoma (OTSCC) is mandatory for individual treatment-decision making. However, this remains a challenge even for experienced multidisciplinary cent...
Aged
Tongue Neoplasms
Aged, 80 and over
Young Adult
Chemoradiotherapy
Adult
Finland
Male
Mouth Neoplasms
Humans
Neoplasm Recurrence, Local
Algorithms
Middle Aged
Combined Modality Therapy
Prognosis
Brazil
Supervised Machine Learning
Female
Adolescent
Incidence
Cohort Studies
Child
Support Vector Machine
Decision Trees
Bayes Theorem
Using machine learning to model problematic smartphone use severity: The significant role of fear of missing out.
Addictive behaviors
Dec 28, 2019
We examined a model of psychopathology variables, age and sex as correlates of problematic smartphone use (PSU) severity using supervised machine learning in a sample of Chinese undergraduate students. A sample of 1097 participants completed measures...
Effects of medium- and long-distance running on cardiac damage markers in amateur runners: a systematic review, meta-analysis, and metaregression.
Journal of sport and health science
Dec 27, 2019
BACKGROUND: To finish an endurance race, athletes perform a vigorous effort that induces the release of cardiac damage markers. There are several factors that can affect the total number of these markers, so the aim of this review was to analyze the ...
Deep learning approaches for plethysmography signal quality assessment in the presence of atrial fibrillation.
Physiological measurement
Dec 27, 2019
OBJECTIVE: Photoplethysmography (PPG) monitoring has been implemented in many portable and wearable devices we use daily for health and fitness tracking. Its simplicity and cost-effectiveness has enabled a variety of biomedical applications, such as ...
Prediction of Lower Limb Kinetics and Kinematics during Walking by a Single IMU on the Lower Back Using Machine Learning.
Sensors (Basel, Switzerland)
Dec 24, 2019
Recent studies have reported the application of artificial neural network (ANN) techniques on data of inertial measurement units (IMUs) to predict ground reaction forces (GRFs), which could serve as quantitative indicators of sports performance or re...
Predicting the individual risk of psychosis conversion in at-risk mental state (ARMS): a multivariate model reveals the influence of nonpsychotic prodromal symptoms.
European child & adolescent psychiatry
Dec 23, 2019
To improve the prediction of the individual risk of conversion to psychosis in UHR subjects, by considering all CAARMS' symptoms at first presentation and using a multivariate machine learning method known as logistic regression with Elastic-net shri...
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