Results 61 to 70 of about 41,188 (261)

Deep Learning Pose Estimation for Phenotyping of Co‐Occurring Hyperkinetic Movement Disorders

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To explore whether routine outpatient video combined with deep learning‐based pose estimation and clinically interpretable kinematic features can support multi‐label phenotyping of co‐occurring hyperkinetic movement disorders (HMDs).
Laura Cif, Diane Demailly, Gabriella A. Horvàth, Juan Dario Ortigoza Escobar, Nathalie Dorison, Mayté Castro Jiménez, Cécile A. Hubsch, Thomas Wirth, Gun‐Marie Hariz, Sophie Huby, Morgan Dornadic, Zohra Souei, Muhammad Mushhood Ur Rehman, Simone Hemm, Mehdi Boulaymen, Eduardo M. Moraud, Jocelyne Bloch, Xavier Vasques   +17 more
wiley   +1 more source

Privacy as a Lifestyle: Empowering assistive technologies for people with disabilities, challenges and future directions

Journal of King Saud University: Computer and Information Sciences
Between the changing Industry 4.0 landscape and the rise of Industry 5.0, where human intelligence and intelligent machines work together, vast amounts of privacy-sensitive data are generated, processed, and exchanged, making them attractive targets of ...
Adib Habbal, Hassen Hamouda, Abdullah M. Alnajim, Sheroz Khan, Mohammed F. Alrifaie   +4 more
doaj   +1 more source

Privacy-Preserving Data Aggregation Protocols for Wireless Sensor Networks: A Survey

Sensors, 2010
Many wireless sensor network (WSN) applications require privacy-preserving aggregation of sensor data during transmission from the source nodes to the sink node.
Rabindra Bista, Jae-Woo Chang
doaj   +1 more source

Safety and Efficacy of GLP‐1 Receptor Agonists in Adults With Epilepsy, Obesity, and Type 2 Diabetes

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Managing obesity in patients with epilepsy is complicated by the weight‐gaining properties of essential antiseizure medications (ASMs) such as valproate and pregabalin. We evaluated the safety and efficacy of initiating glucagon‐like peptide‐1 receptor agonists (GLP‐1 RAs) in this population.
Hyoshin Son, Inyoung Hwang, Sang Won Lee, Yun Kim   +3 more
wiley   +1 more source

A privacy-preserving sharing method of electricity usage using self-organizing map

ICT Express, 2018
Smart meters for measuring electricity usage are expected in electricity usage management. Although the relevant power supplier stores the measured data, the data are worth sharing among power suppliers because the entire data of a city will be required ...
Yuichi Nakamura, Keiya Harada, Hiroaki Nishi   +2 more
doaj   +1 more source

High Health Care Utilization Preceding Diagnosis With Juvenile Idiopathic Arthritis

Arthritis Care &Research, EarlyView.
Objective Although early diagnosis improves long‐term outcomes, patients with juvenile idiopathic arthritis (JIA) often experience prolonged, circuitous paths to diagnosis. To inform diagnostic improvement, we sought to characterize health care utilization in the year preceding diagnosis. Methods We identified 10,021 patients with an incident diagnosis
Anna Costello, Rui Xiao, Xuemei Zhang, Jahan Jazayeri, Irit R. Rasooly, Pamela F. Weiss   +5 more
wiley   +1 more source

Data Privacy Protection Mechanisms in Cloud

Data Science and Engineering, 2017
In the cloud computing environment, the privacy of the electronic data is a serious issue that requires special considerations. We have presented a state-of-the-art review of the methodologies and approaches that are currently being used to cope with the
Niharika Singh, Ashutosh Kumar Singh
doaj   +1 more source

A Privacy-Preserving Ticketing System [PDF]

, 2008
Electronic identity (eID) cards are deployed in an increasing number of countries. These cards often provide digital authentication and digital signature capabilities, but have at the same time serious privacy shortcomings. We can expect that ordering and issuing tickets for events (e.g. soccer matches) will be increasingly done using eID cards, hence,
Verslype, Kristof, Verhaeghe, Pieter, Lapon, Jorn, Nigusse, Girma Enideg, Naessens, Vincent, De Decker, Bart   +5 more
openaire   +2 more sources

Artificial Intelligence in Systemic Sclerosis: Clinical Applications, Challenges, and Future Directions

Arthritis Care &Research, EarlyView.
Systemic sclerosis (SSc) is a rare autoimmune disease defined by immune dysregulation, vasculopathy, and progressive fibrosis of the skin and internal organs. Despite advances in care, major complications such as interstitial lung disease (ILD) and myocardial involvement remain the leading causes of morbidity and mortality.
Cristiana Sieiro Santos, José Miguel Sequí‐Sabater, Diego Benavent   +2 more
wiley   +1 more source

Privacy Preserving Machine Learning With Federated Personalized Learning in Artificially Generated Environment

IEEE Open Journal of the Computer Society
The widespread adoption of Privacy Preserving Machine Learning (PPML) with Federated Personalized Learning (FPL) has been driven by significant advances in intelligent systems research.
Md. Tanzib Hosain, Mushfiqur Rahman Abir, Md. Yeasin Rahat, M. F. Mridha, Saddam Hossain Mukta   +4 more
doaj   +1 more source