[HTML][HTML] Automated machine learning: Review of the state-of-the-art and opportunities for healthcare
J Waring, C Lindvall, R Umeton - Artificial intelligence in medicine, 2020 - Elsevier
Objective This work aims to provide a review of the existing literature in the field of
automated machine learning (AutoML) to help healthcare professionals better utilize …
automated machine learning (AutoML) to help healthcare professionals better utilize …
[HTML][HTML] Applications of big data in emerging management disciplines: A literature review using text mining
AK Kushwaha, AK Kar, YK Dwivedi - International Journal of Information …, 2021 - Elsevier
The importance of data-driven decisions and support is increasing day by day in every
management area. The constant access to volume, variety, and veracity of data has made …
management area. The constant access to volume, variety, and veracity of data has made …
Artificial intelligence with multi-functional machine learning platform development for better healthcare and precision medicine
Precision medicine is one of the recent and powerful developments in medical care, which
has the potential to improve the traditional symptom-driven practice of medicine, allowing …
has the potential to improve the traditional symptom-driven practice of medicine, allowing …
The 'Digital Twin'to enable the vision of precision cardiology
J Corral-Acero, F Margara, M Marciniak… - European heart …, 2020 - academic.oup.com
Providing therapies tailored to each patient is the vision of precision medicine, enabled by
the increasing ability to capture extensive data about individual patients. In this position …
the increasing ability to capture extensive data about individual patients. In this position …
Brief introduction of medical database and data mining technology in big data era
J Yang, Y Li, Q Liu, L Li, A Feng, T Wang… - Journal of Evidence …, 2020 - Wiley Online Library
Data mining technology can search for potentially valuable knowledge from a large amount
of data, mainly divided into data preparation and data mining, and expression and analysis …
of data, mainly divided into data preparation and data mining, and expression and analysis …
Axes of a revolution: challenges and promises of big data in healthcare
Health data are increasingly being generated at a massive scale, at various levels of
phenotyping and from different types of resources. Concurrent with recent technological …
phenotyping and from different types of resources. Concurrent with recent technological …
Restructured society and environment: A review on potential technological strategies to control the COVID-19 pandemic
RM Elavarasan, R Pugazhendhi - Science of the Total Environment, 2020 - Elsevier
Abstract The emergence of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-
2) in China at December 2019 had led to a global outbreak of coronavirus disease 2019 …
2) in China at December 2019 had led to a global outbreak of coronavirus disease 2019 …
Role of machine learning in medical research: A survey
Abstract Machine learning is one of the essential and effective tools in analyzing highly
complex medical data. With vast amounts of medical data being generated, there is an …
complex medical data. With vast amounts of medical data being generated, there is an …
Concurrence of big data analytics and healthcare: A systematic review
Abstract Background The application of Big Data analytics in healthcare has immense
potential for improving the quality of care, reducing waste and error, and reducing the cost of …
potential for improving the quality of care, reducing waste and error, and reducing the cost of …