[HTML][HTML] IBM Watson: how cognitive computing can be applied to big data challenges in life sciences research
Y Chen, JDE Argentinis, G Weber - Clinical therapeutics, 2016 - Elsevier
Life sciences researchers are under pressure to innovate faster than ever. Big data offer the
promise of unlocking novel insights and accelerating breakthroughs. Ironically, although …
promise of unlocking novel insights and accelerating breakthroughs. Ironically, although …
Transformers for tabular data representation: A survey of models and applications
In the last few years, the natural language processing community has witnessed advances
in neural representations of free texts with transformer-based language models (LMs). Given …
in neural representations of free texts with transformer-based language models (LMs). Given …
Retracted article: research on intelligent medical big data system based on Hadoop and blockchain
X Zhang, Y Wang - EURASIP Journal on Wireless Communications and …, 2021 - Springer
In order to improve the intelligence of the medical system, this paper designs and
implements a secure medical big data ecosystem on top of the Hadoop big data platform. It …
implements a secure medical big data ecosystem on top of the Hadoop big data platform. It …
Security model for big healthcare data lifecycle
H Khaloufi, K Abouelmehdi, A Beni-hssane… - Procedia Computer …, 2018 - Elsevier
Big data is a concept that aimed at collecting, storing, processing and transforming large
amount of data into value using new combination of strategies and technologies. Big data is …
amount of data into value using new combination of strategies and technologies. Big data is …
Metaheuristic algorithms for healthcare: Open issues and challenges
Inspired by the observation that a healthcare system usually involves various intelligent
technologies from different disciplines, especially metaheuristics and data mining, this paper …
technologies from different disciplines, especially metaheuristics and data mining, this paper …
[HTML][HTML] Harnessing machine learning to personalize web-based health care content
Web-based health care content has emerged as a primary source for patients to access
health information without direct guidance from health care providers. The benefit of this …
health information without direct guidance from health care providers. The benefit of this …
AI based healthcare platform for real time, predictive and prescriptive analytics using reactive programming
J Kaur, KS Mann - Journal of Physics: Conference Series, 2017 - iopscience.iop.org
AI in Healthcare needed to bring real, actionable insights and Individualized insights in real
time for patients and Doctors to support treatment decisions., We need a Patient Centred …
time for patients and Doctors to support treatment decisions., We need a Patient Centred …
Develo** a model to enhance the quality of health informatics using big data
PK Sadineni - 2020 fourth international conference on I-SMAC …, 2020 - ieeexplore.ieee.org
Data world which is ruling us today not only established its identity in the field of computer
science but also other interdisciplinary sectors such as healthcare, economics, media and …
science but also other interdisciplinary sectors such as healthcare, economics, media and …
[HTML][HTML] Impacto y regulación de la Inteligencia Artificial en el ámbito sanitario
La evolución de la historia clínica electrónica del paciente ha permitido en los últimos años
aplicaciones informáticas desde el registro en sistemas de información hasta la aplicación …
aplicaciones informáticas desde el registro en sistemas de información hasta la aplicación …
An autoscaling platform supporting graph data modelling big data analytics
Big Data has proved to be vast and complex, without being efficiently manageable through
traditional architectures, whereas data analysis is considered crucial for both technical and …
traditional architectures, whereas data analysis is considered crucial for both technical and …