Results 31 to 40 of about 8,196,694 (316)

Auto-CORPus: A Natural Language Processing Tool for Standardizing and Reusing Biomedical Literature

Frontiers in Digital Health, 2022
To analyse large corpora using machine learning and other Natural Language Processing (NLP) algorithms, the corpora need to be standardized. The BioC format is a community-driven simple data structure for sharing text and annotations, however there is ...
Tim Beck, Tim Beck, Tom Shorter, Yan Hu, Yan Hu, Zhuoyu Li, Shujian Sun, Casiana M. Popovici, Casiana M. Popovici, Nicholas A. R. McQuibban, Nicholas A. R. McQuibban, Filip Makraduli, Cheng S. Yeung, Thomas Rowlands, Joram M. Posma, Joram M. Posma   +15 more
doaj   +1 more source

Novels as data: Health humanities and health psychology [PDF]

Journal of Health Psychology, 2021
Novels represent a corpus of data that offers innovative opportunities for research and theory in health psychology. This article discusses how adding ‘health humanities’ to health psychology opens up a potentially rich domain for research and clinical application. The concept of ‘health humanities’ is discussed and put into a context of related fields.
openaire   +2 more sources

Semi-Automatic Systematic Literature Reviews and Information Extraction of COVID-19 Scientific Evidence: Description and Preliminary Results of the COKE Project

Information, 2022
The COVID-19 pandemic highlighted the importance of validated and updated scientific information to help policy makers, healthcare professionals, and the public.
Davide Golinelli, Andrea Giovanni Nuzzolese, Francesco Sanmarchi, Luana Bulla, Misael Mongiovì, Aldo Gangemi, Paola Rucci   +6 more
doaj   +1 more source

The Australian Longitudinal Study on Women's Health: 1973-78 cohort Core Data Release, Survey 1 data, 1996

, 2020
The Australian Longitudinal Study on Women's Health (ALSWH) is a longitudinal population-based survey, first funded in 1995, which examines the health of over 57,000 Australian women.
Commonwealth Government Department of Health and Ageing, Lenore Manderson, Byles, Julie, Schofield, Margot, Dobson, Annette J., Bryson, Lois, Williams, Gail   +6 more
core   +1 more source

The Australian Longitudinal Study on Women's Health: 1921-26 cohort Core Data Release, Survey 1 data, 1996

, 2020
The Australian Longitudinal Study on Women's Health (ALSWH) is a longitudinal population-based survey, first funded in 1995, which examines the health of over 57,000 Australian women.
Commonwealth Government Department of Health and Ageing, Dobson, Annette, Mandelson, Lenore, Byles, Julie, Schofield, Margot, Bryson, Lois, Williams, Gail   +6 more
core   +1 more source

The Australian Longitudinal Study on Women's Health: 1946-51 cohort Core Data Release, Survey 1 data, 1996

, 2020
The Australian Longitudinal Study on Women's Health (ALSWH) is a longitudinal population-based survey, first funded in 1995, which examines the health of over 57,000 Australian women.
Commonwealth Government Department of Health and Ageing, Manderson, Lenore, Byles, Julie, Schofield, Margot, Dobson, Annette J., Bryson, Lois, Williams, Gail   +6 more
core   +1 more source

Developing a File System Structure to Solve Healthy Big Data Storage and Archiving Problems Using a Distributed File System

Applied Sciences, 2018
Recently, the use of internet has become widespread, increasing the use of mobile phones, tablets, computers, Internet of Things (IoT) devices and other digital sources. In the health sector with the help of new generation digital medical equipment, this
Atilla Ergüzen, Mahmut Ünver
doaj   +1 more source

Magnetic Resonance Imaging Sequence Identification Using a Metadata Learning Approach

Frontiers in Neuroinformatics, 2021
Despite the wide application of the magnetic resonance imaging (MRI) technique, there are no widely used standards on naming and describing MRI sequences.
Shuai Liang, Shuai Liang, Derek Beaton, Stephen R. Arnott, Tom Gee, Mojdeh Zamyadi, Robert Bartha, Sean Symons, Glenda M. MacQueen, Stefanie Hassel, Jason P. Lerch, Jason P. Lerch, Evdokia Anagnostou, Evdokia Anagnostou, Raymond W. Lam, Benicio N. Frey, Benicio N. Frey, Roumen Milev, Daniel J. Müller, Daniel J. Müller, Sidney H. Kennedy, Sidney H. Kennedy, Sidney H. Kennedy, Sidney H. Kennedy, Christopher J. M. Scott, Christopher J. M. Scott, Christopher J. M. Scott, The ONDRI Investigators, Stephen C. Strother, Stephen C. Strother, Angela Troyer, Anthony E. Lang, Barry Greenberg, Chris Hudson, Dale Corbett, David A. Grimes, David G. Munoz, Douglas P. Munoz, Elizabeth Finger, J. B. Orange, Lorne Zinman, Manuel Montero-Odasso, Maria Carmela Tartaglia, Mario Masellis, Michael Borrie, Michael J. Strong, Morris Freedman, Paula M. McLaughlin, Richard H. Swartz, Robert A. Hegele, Robert Bartha, Sandra E. Black, Sean Symons, Stephen C. Strother, William E. McIlroy   +54 more
doaj   +1 more source

The Australian Longitudinal Study on Women's Health: 1921-26 cohort Core Data Release, Survey 2 data, 1999

, 2020
The Australian Longitudinal Study on Women's Health (ALSWH) is a longitudinal population-based survey, first funded in 1995, which examines the health of over 57,000 Australian women.
Mishra, Gita, Commonwealth Government Department of Health and Ageing, Lee, Christina, Kenardy, Justin, Dobson, Annette, Brown, Wendy, Byles, Julie, Schofield, Margot, Bryson, Lois   +8 more
core   +1 more source

Automated pipeline for denoising, missing data processing, and feature extraction for signals acquired via wearable devices in multiple sclerosis and amyotrophic lateral sclerosis applications

Frontiers in Digital Health
IntroductionThe incorporation of health-related sensors in wearable devices has increased their use as essential monitoring tools for a wide range of clinical applications. However, the signals obtained from these devices often present challenges such as
Luca Cossu, Giacomo Cappon, Andrea Facchinetti   +2 more
doaj   +1 more source