Robust language-based mental health assessments in time and space through social media [PDF]
arXiv, 2023 Compared to physical health, population mental health measurement in the U.S. is very coarse-grained. Currently, in the largest population surveys, such as those carried out by the Centers for Disease Control or Gallup, mental health is only broadly captured through "mentally unhealthy days" or "sadness", and limited to relatively infrequent state or ...
arxiv
How Does COVID-19 impact Students with Disabilities/Health Concerns? [PDF]
arXiv, 2020 The impact of COVID-19 on students has been enormous, with an increase in worries about fiscal and physical health, a rapid shift to online learning, and increased isolation. In addition to these changes, students with disabilities/health concerns may face accessibility problems with online learning or communication tools, and their stress may be ...
arxiv
THE 65th ANNIVERSARY OF PROFESSOR IHOR STASYUK
Condensed Matter Physics, 2003 Editorial Board of the "Condensed Matter Physics" and colleagues from the Institute for Condensed Matter Physics congratulate Professor Ihor Stasyuk on his 65th birthday and wish him to stay in good health and many more years of fruitful scientific work.
Editors
doaj
Research Opportunities and Visions for Smart and Pervasive Health [PDF]
arXiv, 2017 Improving the health of the nation's population and increasing the capabilities of the US healthcare system to support diagnosis, treatment, and prevention of disease is a critical national and societal priority. In the past decade, tremendous advances in expanding computing capabilities--sensors, data analytics, networks, advanced imaging, and cyber ...
arxiv
Quantum Machine Learning for Digital Health? A Systematic Review [PDF]
npj Digit. Med. 8, 237 (2025)With the digitization of health data, the growth of electronic health and medical records lowers barriers for using algorithmic techniques for data analysis. While classical machine learning techniques for health data approach commercialization, there is not yet clear evidence whether quantum machine learning (QML) will provide any empirical advantage ...
arxiv +1 more source
Identifying physical health comorbidities in a cohort of individuals with severe mental illness: An application of SemEHR [PDF]
arXiv, 2020 Multimorbidity research in mental health services requires data from physical health conditions which is traditionally limited in mental health care electronic health records. In this study, we aimed to extract data from physical health conditions from clinical notes using SemEHR. Data was extracted from Clinical Record Interactive Search (CRIS) system
arxiv
A Hybrid Approach for Fusing Physics and Data for Failure Prediction
International Journal of Prognostics and Health Management, 2016 This work describes the architecture for developing physics of failure models, derived as a function of machine sensor data, and integrating with data pertaining to other relevant factors like geography, manufacturing, environment, customer and ...
Prashanth Pillai +4 more
doaj +1 more source
Ubiquitous Event Mining to Enhance Personal Health [PDF]
, 2018 Advances in user interfaces, pattern recognition, and ubiquitous computing continue to pave the way for better navigation towards our health goals. Quantitative methods which can guide us towards our personal health goals will help us optimize our daily life actions, and environmental exposures.
arxiv +1 more source
Health physics workforce in the United States. [PDF]
J Appl Clin Med Phys, 2022 Noska MA +8 more
europepmc +1 more source
Health Physics (보건 물리학) in South Korea: Building a Research Community in a Post-Colonial Society, 1959-early 1970s. [PDF]
NTM, 2022 DiMoia JP.
europepmc +1 more source