Results 91 to 100 of about 3,542,863 (298)
Big Data: Understanding Big Data
, 2016 Steve Jobs, one of the greatest visionaries of our time was quoted in 1996 saying "a lot of times, people do not know what they want until you show it to them" [38] indicating he advocated products to be developed based on human intuition rather than research. With the advancements of mobile devices, social networks and the Internet of Things, enormous
openaire +2 more sources
Pediatric Blood &Cancer, EarlyView.ABSTRACT In pediatric patients, T‐cell lymphoblastic lymphoma (T‐LBL) survival exceeds 80%. Relapse remains associated with limited curative options. Frontline treatment is largely extrapolated from T‐cell acute lymphoblastic leukemia (T‐ALL) treatment, reflecting the ongoing debate, whether both entities represent distinct diseases or variants within ...
Marie C. Heider +4 more
wiley +1 more source
The SIKS/BiGGrid Big Data Tutorial [PDF]
, 2011 The School for Information and Knowledge Systems SIKS and the Dutch e-science grid BiG Grid organized a new two-day tutorial on Big Data at the University of Twente on 30 November and 1 December 2011, just preceding the Dutch-Belgian Database Day.
Hiemstra, Djoerd +2 more
core +1 more source
Clustering ensemble pruning algorithm based on vec2vec classifier representation
Journal of King Saud University: Computer and Information SciencesThe complementarity of ensemble learning primarily stems from the diversity among its classifier members, which is typically assessed by calculating the similarity or distance between classifiers.
Chunlong Li +5 more
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Blinatumomab is a bispecific T‐cell engager approved for the treatment of pediatric B‐cell acute lymphoblastic leukemia (B‐ALL). Outpatient home infusion reduces hospitalization burden and optimizes resource utilization, but is logistically challenging.
Angela Parra del Riego +10 more
wiley +1 more source
Big Data must be processed with advanced collection and analysis tools, based on predetermined algorithms, in order to obtain relevant information. Algorithms must also take into account invisible aspects for direct perceptions.
Sfetcu, Nicolae
core
Pediatric Blood &Cancer, EarlyView.ABSTRACT Treatment‐associated hepatotoxicity (TAH) is a common complication of pediatric acute lymphoblastic leukemia (ALL) treatment, but genetic risk factors remain poorly understood. We evaluated the SOD2 rs4880 variant in 544 children with ALL at Texas Children's Hospital. After adjusting for demographic and clinical covariates, the rs4880 C allele
Emily J. Mason +14 more
wiley +1 more source
Statistics in the Big Data era [PDF]
, 2016 It is estimated that about 90% of the currently available data have been produced over the last two years. Of these, only 0.5% is effectively analysed and used.
DI CIACCIO, AGOSTINO +1 more
core
JACC: Cardiovascular Interventions, 2016 ![Figure][1] The interventional cardiology course that we began after Andreas Gruentzig joined us 35 years ago continues to evolve. Initially this was the primary exposure for invasive cardiologists desiring to take up the new method of coronary angioplasty.
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background This study investigated how neighborhood‐level social determinants of health (SDOH), including redlining and neurological risk, interact to influence cognitive outcomes in children treated for brain tumors (CTBT). Methods A retrospective chart review of 161 CTBT aged 5–17 was conducted.
Alannah R. Srsich +5 more
wiley +1 more source