Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Simona Carini"'
Autor:
Billy Zeng, Riley Bove, Simona Carini, Jonathan Shing-Jih Lee, JP Pollak, Erica Schleimer, Ida Sim
Publikováno v:
JMIR mHealth and uHealth, Vol 10, Iss 2, p e31048 (2022)
Person-generated data (PGD) are a valuable source of information on a person’s health state in daily life and in between clinic visits. To fully extract value from PGD, health care organizations must be able to smoothly integrate data from PGD devi
Externí odkaz:
https://doaj.org/article/7d93405fe55641379dd4cd7f8484f7ff
Autor:
Ieuan Clay, Christian Angelopoulos, Anne Lord Bailey, Aaron Blocker, Simona Carini, Rodrigo Carvajal, David Drummond, Kimberly F McManus, Ingrid Oakley-Girvan, Krupal B Patel, Phillip Szepietowski, Jennifer C Goldsack
Publikováno v:
Journal of Medical Internet Research, Vol 23, Iss 11, p e34493 (2021)
Data integration, the processes by which data are aggregated, combined, and made available for use, has been key to the development and growth of many technological solutions. In health care, we are experiencing a revolution in the use of sensors to
Externí odkaz:
https://doaj.org/article/8f217453ffe9429ea9f9019bbd1523b6
Autor:
Md Mobashir Hasan Shandhi, Jennifer C Goldsack, Kyle Ryan, Alexandra Bennion, Aditya V Kotla, Alina Feng, Yihang Jiang, Will Ke Wang, Tina Hurst, John Patena, Simona Carini, Jeanne Chung, Jessilyn Dunn
Publikováno v:
Journal of Medical Internet Research, Vol 23, Iss 9, p e29875 (2021)
BackgroundDigital clinical measures collected via various digital sensing technologies such as smartphones, smartwatches, wearables, ingestibles, and implantables are increasingly used by individuals and clinicians to capture health outcomes or behav
Externí odkaz:
https://doaj.org/article/f304e395daf74928a8d519e10d9ca082
Autor:
Ian J. Saldanha, Christopher H. Schmid, Joseph Lau, Kay Dickersin, Jesse A. Berlin, Jens Jap, Bryant T. Smith, Simona Carini, Wiley Chan, Berry De Bruijn, Byron C. Wallace, Susan M. Hutfless, Ida Sim, M. Hassan Murad, Sandra A. Walsh, Elizabeth J. Whamond, Tianjing Li
Publikováno v:
Systematic Reviews, Vol 5, Iss 1, Pp 1-11 (2016)
Abstract Background Data abstraction, a critical systematic review step, is time-consuming and prone to errors. Current standards for approaches to data abstraction rest on a weak evidence base. We developed the Data Abstraction Assistant (DAA), a no
Externí odkaz:
https://doaj.org/article/3b73b29a64e8480db248cf2deb722103
Autor:
Simona Carini, Jennifer C. Goldsack, David Drummond, Anne Lord Bailey, Ieuan Clay, Ingrid Oakley-Girvan, Phillip Szepietowski, Aaron Blocker, Rodrigo Carvajal, Kimberly F McManus, Christian Angelopoulos, Krupal B Patel
Publikováno v:
Journal of Medical Internet Research
Data integration, the processes by which data are aggregated, combined, and made available for use, has been key to the development and growth of many technological solutions. In health care, we are experiencing a revolution in the use of sensors to
Autor:
Ieuan Clay, Christian Angelopoulos, Anne Lord Bailey, Aaron Blocker, Simona Carini, Rodrigo Carvajal, David Drummond, Kimberly F McManus, Ingrid Oakley-Girvan, Krupal B Patel, Phillip Szepietowski, Jennifer C Goldsack
UNSTRUCTURED Data integration, the processes by which data are aggregated, combined, and made available for use, has been key to the development and growth of many technological solutions. In health care, we are experiencing a revolution in the use o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d02b20fce8e2090f125bdb5f797935ea
https://doi.org/10.2196/preprints.34493
https://doi.org/10.2196/preprints.34493
Publikováno v:
Journal of Biomedical Informatics. 135:104235
The free-text Condition data field in the ClinicalTrials.gov is not amenable to computational processes for retrieving, aggregating and visualizing clinical studies by condition categories. This paper contributes a method for automated ontology-based
Autor:
Billy Zeng, Riley Bove, Simona Carini, Jonathan Shing-Jih Lee, JP Pollak, Erica Schleimer, Ida Sim
UNSTRUCTURED Person-generated data (PGD) are a valuable source of information on a person’s health state in daily life and in between clinic visits. To fully extract value from PGD, health care organizations must be able to smoothly integrate data
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3a7f9205bee9f17e65be97e327fb7874
https://doi.org/10.2196/preprints.31048
https://doi.org/10.2196/preprints.31048
Autor:
Md Mobashir Hasan Shandhi, Jennifer C Goldsack, Kyle Ryan, Alexandra Bennion, Aditya V Kotla, Alina Feng, Yihang Jiang, Will Ke Wang, Tina Hurst, John Patena, Simona Carini, Jeanne Chung, Jessilyn Dunn
BACKGROUND Digital clinical measures collected via various digital sensing technologies such as smartphones, smartwatches, wearables, ingestibles, and implantables are increasingly used by individuals and clinicians to capture health outcomes or beha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f53ef291d0a8c95d226ef7fe121d1bd8
https://doi.org/10.2196/preprints.29875
https://doi.org/10.2196/preprints.29875
Autor:
Chunhua Weng, Chi Yuan, Hao Liu, Li-heng Fu, Yingcheng Sun, Simona Carini, Ida Sim, Fabricio Sampaio Peres Kury, Alex Butler
Publikováno v:
Scientific Data
Scientific Data, Vol 7, Iss 1, Pp 1-11 (2020)
Scientific Data, Vol 7, Iss 1, Pp 1-11 (2020)
We present Chia, a novel, large annotated corpus of patient eligibility criteria extracted from 1,000 interventional, Phase IV clinical trials registered in ClinicalTrials.gov. This dataset includes 12,409 annotated eligibility criteria, represented