[HTML][HTML] Visual analytic tools and techniques in population health and health services research: scoping review

JA Chishtie, JS Marchand, LA Turcotte… - Journal of Medical …, 2020 - jmir.org
Background Visual analytics (VA) promotes the understanding of data with visual, interactive
techniques, using analytic and visual engines. The analytic engine includes automated …

Deep learning for health informatics: Recent trends and future directions

S Srivastava, S Soman, A Rai… - … on advances in …, 2017 - ieeexplore.ieee.org
Health informatics has emerged as a growing domain of interest among researchers world-
wide owing to its major implications on society. Applications of machine learning in …

Diabetes disease prediction using machine learning on big data of healthcare

A Mir, SN Dhage - 2018 fourth international conference on …, 2018 - ieeexplore.ieee.org
Healthcare domain is a very prominent research field with rapid technological advancement
and increasing data day by day. In order to deal with large volume of healthcare data we …

A framework for analysing learning health systems: Are we removing the most impactful barriers?

S McLachlan, K Dube, O Johnson… - Learning health …, 2019 - Wiley Online Library
Introduction Learning health systems (LHS) are one of the major computing advances in
health care. However, no prior research has systematically analysed barriers and facilitators …

A visual analytics approach to understanding care process variation and conformance

RC Basole, H Park, M Gupta, ML Braunstein… - Proceedings of the …, 2015 - dl.acm.org
With greater pressures of providing high-quality care at lower cost due to a changing
financial and policy environment, the ability to understand variations in care delivery and …

Towards distributed healthcare systems–virtual data pooling between cancer registries as backbone of care and research

A Appenzeller, S Bartholomäus… - 2021 IEEE/ACS 18th …, 2021 - ieeexplore.ieee.org
German cancer registries offer a systematic approach for the collection, storage, and
management of data on patients with cancer and related diseases. Much hope in research …

Preserving patient privacy when sharing same-disease data

X Liu, XB Li, L Motiwalla, W Li, H Zheng… - Journal of Data and …, 2016 - dl.acm.org
Medical and health data are often collected for studying a specific disease. For such same-
disease microdata, a privacy disclosure occurs as long as an individual is known to be in the …

Towards configurable composite data quality assessment

P Ceravolo, E Bellini - 2019 IEEE 21st Conference on …, 2019 - ieeexplore.ieee.org
The growing availability of data over the last decades has given rise to a number of
successful technologies, ranging from data collection and storage infrastructures to …

Prediction of disease using machine learning algorithms

A Dhankhar, S Jain - Smart and sustainable intelligent systems, 2021 - Wiley Online Library
Medical Analysis is a field of vast research and there has been a huge requirement for the
creation of a particular algorithm by which any disease on the basis of its feature sets or its …

Diabetes prediction by using big data tool and machine learning approaches

SR Swarna, S Boyapati, P Dixit… - 2020 3rd International …, 2020 - ieeexplore.ieee.org
The use of big data in daily life is increasing from health care, social networks, banking
systems, entry into the banking system, use of sensors and smart devices, leading to large …