Results 61 to 70 of about 26,034,833 (395)

Big data analytics in healthcare: promise and potential

Health Information Science and Systems, 2014
To describe the promise and potential of big data analytics in healthcare. The paper describes the nascent field of big data analytics in healthcare, discusses the benefits, outlines an architectural framework and methodology, describes examples reported
W. Raghupathi, V. Raghupathi
semanticscholar   +1 more source

Nutritional and Behavioral Intervention for Long‐Term Childhood Acute Leukemia Survivors With Metabolic Syndrome

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Purpose Metabolic syndrome (MetS) is a common complication in survivors of childhood acute lymphoblastic and myeloid leukemia (AL), and a major risk factor for premature cardiovascular disease, type‐2‐diabetes, and metabolic dysfunction‐associated steatotic liver disease (MASLD).
Visentin Sandrine, Béliard Sophie, Renard Cécile, Caussy Cyrielle, Hamidou Zeinab, Romano David, Gacem Mélanie, Petit Arnaud, Saultier Paul, Borentain Patrick, Michel Gérard   +10 more
wiley   +1 more source

A literature review on one-class classification and its potential applications in big data

Journal of Big Data, 2021
In severely imbalanced datasets, using traditional binary or multi-class classification typically leads to bias towards the class(es) with the much larger number of instances.
Naeem Seliya, Azadeh Abdollah Zadeh, T. Khoshgoftaar   +2 more
semanticscholar   +1 more source

Survival for Children Diagnosed With Wilms Tumour (2012–2022) Registered in the UK and Ireland Improving Population Outcomes for Renal Tumours of Childhood (IMPORT) Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background The Improving Population Outcomes for Renal Tumours of childhood (IMPORT) is a prospective clinical observational study capturing detailed demographic and outcome data on children and young people diagnosed with renal tumours in the United Kingdom and the Republic of Ireland.
Naomi Ssenyonga, Angela Lopez‐Cortes, Reem Al‐Saadi, Suzanne Tugnait, Kristina Dzhuma, Catriona Duncan, Gordan Vujanic, Tanzina Chowdhury, Claudia Allemani, Michel P. Coleman, Kathy Pritchard‐Jones, the Children's Cancer and Leukaemia Group (CCLG) Renal Tumour Special Interest Group, Hugh Bishop, Anthony McCarthy, Pamela Kearns, Helen Rees, Amos Burke, Meriel Jenney, Jane Pears, Hamish Wallace, Milind Ronghe, Tanzina Chowdhury, Susan Picton, Emma Ross, Lisa Howell, Bernadette Brennan, Gail Halliday, Richard Grundy, Shaun Wilson, Sucheta Vaidya, Daniel Yeomanson, Jessica Bate, Vesna Pavasovic, Jessica Bate, Sabine Irtan, Jesper Brok, Minou Oostveen, Kristina Dzhuma, Mark Weeks, Richard Williams, Mark Powis, Max Pachl, Bruce Okoye, Naima Smeulders, Gordan Vujanic, Oystein Olsen, Tom Watson, Susan Shelmerdine, Dan Saunders, Angela Lopez-Cortes, Taryn Treger, Tom Jackson, Suzanne Tugnait, Lisa Howell, Tanzina Chowdhury, Sam Behjati, Angela Polanco   +56 more
wiley   +1 more source

How Big Data helps us? [PDF]

, 2017
В данной статье рассматриваются сферы жизни, в которых данная технология нашла свое применение. Показано, что с использованием анализа Big Data увеличивается точность прогнозов и предсказаний, растет качество товаров и услуг, которые предлагаются только ...
Зарифуллина, Д. П., Смирнов, А. Л.   +1 more
core  

Neuroscience: Big brain, big data [PDF]

Nature, 2017
Neuroscientists are starting to share and integrate data — but shifting to a team approach isn't easy.
openaire   +2 more sources

The MedSupport Multilevel Intervention to Enhance Support for Pediatric Medication Adherence: Development and Feasibility Testing

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction We developed MedSupport, a multilevel medication adherence intervention designed to address root barriers to medication adherence. This study sought to explore the feasibility and acceptability of the MedSupport intervention strategies to support a future full‐scale randomized controlled trial.
Elizabeth G. Bouchard, Hital Patel, Paula C. Vincent, Justine Kahn, Kira Bona, Thai Hoa Tran, Elisa M. Rodriguez, Kristopher Attwood, Kara M. Kelly   +8 more
wiley   +1 more source

Machine-Reading Comprehension for Bridge Inspection Domain by Fusing Graph Embedding

Complexity
Bridge inspection text records are very significant for the maintenance and upkeep of bridges, which can help engineers and maintenance personnel to understand the actual condition of bridges, detect and repair problems in time, and ensure the safe ...
Fangyue Xiang, Hongjin Zhu, YuFang Sun, Maobo Zheng, Wenyong Yan   +4 more
doaj   +1 more source

Big data for monitoring educational systems [PDF]

, 2017
This report considers “how advances in big data are likely to transform the context and methodology of monitoring educational systems within a long-term perspective (10-30 years) and impact the evidence based policy development in the sector”, big data ...
Berendt, Bettina, Blakemore, Michael, Kern, Philippe, Littlejohn, Allison, Mitros, Piotr, Shacklock, Xanthe   +5 more
core   +1 more source

Big Data Diagnostics [PDF]

Clinical Chemistry, 2014
A little over a year ago, a damning report published in the journal Nature (1) sent a ripple through the public health and social science communities: in a season of unusually high flu outbreak, one of the world's newest biosurveillance systems was inaccurately predicting flu trends.
Molly, Webster, Vikram Sheel, Kumar
openaire   +2 more sources