User profiles for "author:Iliada Eleftheriou"

Iliada Eleftheriou

Lecturer in Healthcare Sciences, University of Manchester
Verified email at manchester.ac.uk
Cited by 106

[HTML][HTML] Artificial intelligence projects in healthcare: 10 practical tips for success in a clinical environment

A Wilson, H Saeed, C Pringle, I Eleftheriou… - BMJ Health & Care …, 2021 - ncbi.nlm.nih.gov
There is much discussion concerning 'digital transformation'in healthcare and the potential
of artificial intelligence (AI) in healthcare systems. Yet it remains rare to find AI solutions …

[HTML][HTML] Using interactive digital notebooks for bioscience and informatics education

A Davies, F Hooley, P Causey-Freeman… - PLoS computational …, 2020 - journals.plos.org
Interactive digital notebooks provide an opportunity for researchers and educators to carry
out data analysis and report the results in a single digital format. Further to just being digital …

[HTML][HTML] Modeling data journeys to inform the digital transformation of kidney transplant services: observational study

V Sharma, I Eleftheriou, SN van der Veer… - Journal of Medical …, 2022 - jmir.org
Background Data journey modeling is a methodology used to establish a high-level
overview of information technology (IT) infrastructure in health care systems. It allows a …

An overview of Real-World Data infrastructure for cancer research

G Price, N Peek, I Eleftheriou, K Spencer, L Paley… - Clinical Oncology, 2024 - Elsevier
There is increasing interest in the opportunities offered by Real World Data (RWD) to
provide evidence where clinical trial data does not exist, but access to appropriate data …

[HTML][HTML] Big data analytics in the banking sector: Guidelines and lessons learned from the CaixaBank case

A Alexopoulos, Y Becerra, O Boehm, G Bravos… - … and applications for big …, 2022 - Springer
A large number of EU organisations already leverage Big Data pools to drive value and
investments. This trend also applies to the banking sector. As a specific example, CaixaBank …

Towards specification of a software architecture for cross-sectoral big data applications

I Arapakis, Y Becerra, O Boehm… - 2019 IEEE World …, 2019 - ieeexplore.ieee.org
The proliferation of Big Data applications puts pressure on improving and optimizing the
handling of diverse datasets across different domains. Among several challenges, major …

Data journey modelling: predicting risk for IT developments

I Eleftheriou, SM Embury, A Brass - … of Enterprise Modeling: 9th IFIP WG …, 2016 - Springer
Abstract Information sharing is a vital element of a successful business. However,
technological, organisational and human challenges obstruct the effective movement of …

[HTML][HTML] Data journeys: Identifying social and technical barriers to data movement in large, complex organisations

I Eleftheriou, SM Embury, R Moden, P Dobinson… - Journal of biomedical …, 2018 - Elsevier
Managers in complex organisations often have to make decisions on whether new software
developments are worth undertaking or not. Such decisions are hard to make, especially at …

[HTML][HTML] Big Data Analytics in the Manufacturing Sector: Guidelines and Lessons Learned Through the Centro Ricerche FIAT (CRF) Case

A Alexopoulos, Y Becerra, O Boehm, G Bravos… - … and Applications for Big …, 2022 - Springer
Manufacturing processes are highly complex. Production lines have several robots and
digital tools, generating massive amounts of data. Unstructured, noisy and incomplete data …

[PDF][PDF] On the Feasibility of Crawling Linked Data Sets for Reusable Defect Corrections.

SM Embury, B Jin, S Sampaio, I Eleftheriou - LDQ@ SEMANTiCS, 2014 - Citeseer
Current linked open data standards have encouraged the publication of a large number of
data sets on the public Web. While some data providers put a lot of energy and resources …