[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 …
Innovations in genomics and big data analytics for personalized medicine and health care: A review
Big data in health care is a fast-growing field and a new paradigm that is transforming case-
based studies to large-scale, data-driven research. As big data is dependent on the …
based studies to large-scale, data-driven research. As big data is dependent on the …
European Resuscitation Council Guidelines 2021: Ethics of resuscitation and end of life decisions
Abstract These European Resuscitation Council Ethics guidelines provide evidence-based
recommendations for the ethical, routine practice of resuscitation and end-of-life care of …
recommendations for the ethical, routine practice of resuscitation and end-of-life care of …
Integrated omics: tools, advances and future approaches
With the rapid adoption of high-throughput omic approaches to analyze biological samples
such as genomics, transcriptomics, proteomics, and metabolomics, each analysis can …
such as genomics, transcriptomics, proteomics, and metabolomics, each analysis can …
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 …
Medical internet of things and big data in healthcare
DV Dimitrov - Healthcare informatics research, 2016 - synapse.koreamed.org
Objectives A number of technologies can reduce overall costs for the prevention or
management of chronic illnesses. These include devices that constantly monitor health …
management of chronic illnesses. These include devices that constantly monitor health …
Benefits and challenges of Big Data in healthcare: an overview of the European initiatives
R Pastorino, C De Vito, G Migliara… - European journal of …, 2019 - academic.oup.com
Healthcare systems around the world are facing incredible challenges due to the ageing
population and the related disability, and the increasing use of technologies and citizen's …
population and the related disability, and the increasing use of technologies and citizen's …
Power analysis in health policy and systems research: a guide to research conceptualisation
Power is a growing area of study for researchers and practitioners working in the field of
health policy and systems research (HPSR). Theoretical development and empirical …
health policy and systems research (HPSR). Theoretical development and empirical …
A systematic review on healthcare analytics: application and theoretical perspective of data mining
The growing healthcare industry is generating a large volume of useful data on patient
demographics, treatment plans, payment, and insurance coverage—attracting the attention …
demographics, treatment plans, payment, and insurance coverage—attracting the attention …
[LLIBRE][B] Handbook of personality: Theory and research
This authoritative handbook is the reference of choice for researchers and students of
personality. Leading authorities describe the most important theoretical approaches in …
personality. Leading authorities describe the most important theoretical approaches in …