[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 …

[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 …

The use of Big Data Analytics in healthcare

K Batko, A Ślęzak - Journal of big Data, 2022 - Springer
Abstract The introduction of Big Data Analytics (BDA) in healthcare will allow to use new
technologies both in treatment of patients and health management. The paper aims at …

Artificial intelligence with multi-functional machine learning platform development for better healthcare and precision medicine

Z Ahmed, K Mohamed, S Zeeshan, XQ Dong - Database, 2020 - academic.oup.com
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 …

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 …

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 …

Axes of a revolution: challenges and promises of big data in healthcare

S Shilo, H Rossman, E Segal - Nature medicine, 2020 - nature.com
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 …

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 …

Role of machine learning in medical research: A survey

A Garg, V Mago - Computer science review, 2021 - Elsevier
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 …

Concurrence of big data analytics and healthcare: A systematic review

N Mehta, A Pandit - International journal of medical informatics, 2018 - Elsevier
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 …