Results 151 to 160 of about 1,780,354 (311)

Building a Framework for Sexual and Reproductive Health Care in the Rheumatology Context: Content and Approaches

Arthritis Care &Research, EarlyView.
People with systemic autoimmune and rheumatic diseases (SARDs) are at higher risk than the general population of experiencing adverse pregnancy and perinatal outcomes such as preeclampsia, intrauterine growth restriction, and maternal and/or fetal death.
Mehret Birru Talabi, Sonya Borrero
wiley   +1 more source

The Association of Physical Function With Psychosocial Patient‐Reported Outcomes in People With Systemic Lupus Erythematosus

Arthritis Care &Research, EarlyView.
Objective To evaluate how modifiable psychosocial factors and fatigue relate to physical functioning in patients with systemic lupus erythematosus (SLE). Methods In this cross‐sectional study of two demographically distinct cohorts (Approaches to Positive, Patient‐Centered Experiences of Aging with Lupus [APPEAL] and California Lupus Epidemiology Study
Mrinalini Dey, Jessica Fitzpatrick, Maria Dall'Era, Charmayne Dunlop‐Thomas, Courtney Hoge, S. Sam Lim, Patricia P. Katz, Jinoos Yazdany, Laura C. Plantinga   +8 more
wiley   +1 more source

Semantic Web Assisted Learning Experience Management – Architecture and Strategy for Collaborative Learning Experience Sharing

, 2006
We propose in this paper a semantic web driven learning management architecture that supports collaborative learning, i.e., learning by reusing, sharing experience and building knowledge together within a particular domain. We address different phases of
Millard, David, Zalfan, Mohd, Davis, hugh, Tao, Feng, Chen, liming   +4 more
core  

Data Driven Design for PSS (Product Re-design Based on Previous Knowledge)

The use of data-driven techniques can support the trade-off between different PSS design concepts by allowing dynamic indexing and retrieval of information to detect correlations and emerging trends. The chapter presents a data-driven approach exploiting
Bertoni, Alessandro,
core   +1 more source

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

ARAD: Automated and Real-Time Anomaly Detection in Sensors of Autonomous Vehicles Through a Lightweight Supervised Learning Approach

IEEE Access
In this paper, an automated and real-time anomaly detection approach for sensors of autonomous vehicles called ARAD is presented. Automated vehicles gather environmental information through their diverse built-in sensors thus the correctness of this data
Athena Abdi, Arash Ghasemi-Tabar
doaj   +1 more source

A Return to Normality: A Descriptive Qualitative Interview Study Exploring the Patient Experience of Gout Flare Resolution

Arthritis Care &Research, EarlyView.
Objective Although the definition of a gout flare is well established, the state of gout flare resolution has not yet been defined. This study aimed to explore patients’ experiences and perceptions of gout flare resolution. Methods Semistructured interviews were conducted with 24 people with gout, guided by open‐ended questions exploring their ...
Sarah Stewart, Anne Horne, Angelo Gaffo, Lisa K. Stamp, N. Lawrence Edwards, Nicola Dalbeth   +5 more
wiley   +1 more source

Data-Driven Museums

, 2017
How do you transform a traditionally un-data-orientated organisation into being data-driven armed with data science processes and plenty of enthusiasm? With the exponential growth of data, more and more organisations are demanding to become data-driven.
Alice Daish (5206594), Alice Daish
core   +1 more source

Data-driven policy learning for continuous treatments

Journal of Econometrics
This paper studies policy learning for continuous treatments from observational data. Continuous treatments present more significant challenges than discrete ones because population welfare may need nonparametric estimation, and policy space may be infinite-dimensional and may satisfy shape restrictions.
Chunrong Ai, Yue Fang, Haitian Xie
openaire   +2 more sources

Sparse Data-Driven Learning for Effective and Efficient Biomedical Image Segmentation. [PDF]

Annu Rev Biomed Eng, 2020
Onofrey JA, Staib LH, Huang X, Zhang F, Papademetris X, Metaxas D, Rueckert D, Duncan JS.   +7 more
europepmc   +1 more source