AIMC Topic: Young Adult
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On-Device Reliability Assessment and Prediction of Missing Photoplethysmographic Data Using Deep Neural Networks.
IEEE transactions on biomedical circuits and systems
Dec 31, 2020
Photoplethysmographic (PPG) measurements from ambulatory subjects may suffer from unreliability due to body movements and missing data segments due to loosening of sensor. This paper describes an on-device reliability assessment from PPG measurements...
Predicting self-harm within six months after initial presentation to youth mental health services: A machine learning study.
PloS one
Dec 31, 2020
BACKGROUND: A priority for health services is to reduce self-harm in young people. Predicting self-harm is challenging due to their rarity and complexity, however this does not preclude the utility of prediction models to improve decision-making rega...
The Co-Pilot Project: An International Neurosurgical Collaboration in Ukraine.
World neurosurgery
Dec 29, 2020
OBJECTIVE: We aim to provide a thorough description of the efforts and outcomes of the Co-Pilot Project in Ukraine, which facilitates neurosurgical collaboration between American and Ukrainian physicians.
Machine learning and natural language processing (NLP) approach to predict early progression to first-line treatment in real-world hormone receptor-positive (HR+)/HER2-negative advanced breast cancer patients.
European journal of cancer (Oxford, England : 1990)
Dec 26, 2020
BACKGROUND: CDK4/6 inhibitors plus endocrine therapies are the current standard of care in the first-line treatment of HR+/HER2-negative metastatic breast cancer, but there are no well-established clinical or molecular predictive factors for patient ...
Survival Rate
Breast Neoplasms
Middle Aged
Disease Progression
Antineoplastic Combined Chemotherapy Protocols
Follow-Up Studies
Natural Language Processing
Receptor, ErbB-2
Receptors, Estrogen
Receptors, Progesterone
Female
Aged
Aged, 80 and over
Young Adult
Adult
Machine Learning
Prognosis
Retrospective Studies
Electronic Health Records
Humans
Machine Learning Algorithms Predict Clinically Significant Improvements in Satisfaction After Hip Arthroscopy.
Arthroscopy : the journal of arthroscopic & related surgery : official publication of the Arthroscopy Association of North America and the International Arthroscopy Association
Dec 24, 2020
PURPOSE: To develop machine learning algorithms to predict failure to achieve clinically significant satisfaction after hip arthroscopy.
Adaptive transfer learning for EEG motor imagery classification with deep Convolutional Neural Network.
Neural networks : the official journal of the International Neural Network Society
Dec 23, 2020
In recent years, deep learning has emerged as a powerful tool for developing Brain-Computer Interface (BCI) systems. However, for deep learning models trained entirely on the data from a specific individual, the performance increase has only been mar...
Sparse deep dictionary learning identifies differences of time-varying functional connectivity in brain neuro-developmental study.
Neural networks : the official journal of the International Neural Network Society
Dec 23, 2020
Recently, the focus of functional connectivity analysis of human brain has shifted from merely revealing the inter-regional functional correlation over the entire scan duration to capturing the time-varying information of brain networks and character...
Individualised Responsible Artificial Intelligence for Home-Based Rehabilitation.
Sensors (Basel, Switzerland)
Dec 22, 2020
Socioeconomic reasons post-COVID-19 demand unsupervised home-based rehabilitation and, specifically, artificial ambient intelligence with individualisation to support engagement and motivation. Artificial intelligence must also comply with accountabi...
Development and validation of an artificial intelligence system for grading colposcopic impressions and guiding biopsies.
BMC medicine
Dec 22, 2020
BACKGROUND: Colposcopy diagnosis and directed biopsy are the key components in cervical cancer screening programs. However, their performance is limited by the requirement for experienced colposcopists. This study aimed to develop and validate a Colp...
Interpretability of Spatiotemporal Dynamics of the Brain Processes Followed by Mindfulness Intervention in a Brain-Inspired Spiking Neural Network Architecture.
Sensors (Basel, Switzerland)
Dec 21, 2020
Mindfulness training is associated with improvements in psychological wellbeing and cognition, yet the specific underlying neurophysiological mechanisms underpinning these changes are uncertain. This study uses a novel brain-inspired artificial neura...
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