The role of data science in healthcare advancements: applications, benefits, and future prospects

SVG Subrahmanya, DK Shetty, V Patil… - Irish Journal of Medical …, 2022 - Springer
Data science is an interdisciplinary field that extracts knowledge and insights from many
structural and unstructured data, using scientific methods, data mining techniques, machine …

A systematic review on healthcare analytics: application and theoretical perspective of data mining

MS Islam, MM Hasan, X Wang, HD Germack… - Healthcare, 2018 - mdpi.com
The growing healthcare industry is generating a large volume of useful data on patient
demographics, treatment plans, payment, and insurance coverage—attracting the attention …

Knowledge discovery in medicine: Current issue and future trend

N Esfandiari, MR Babavalian, AME Moghadam… - Expert Systems with …, 2014 - Elsevier
Data mining is a powerful method to extract knowledge from data. Raw data faces various
challenges that make traditional method improper for knowledge extraction. Data mining is …

Emerging information technologies for enhanced healthcare

JJ Yang, J Li, J Mulder, Y Wang, S Chen, H Wu… - Computers in …, 2015 - Elsevier
The appropriate collection and consumption of electronic health information about an
individual patient or population is the bedrock of modern healthcare, where electronic …

Potential role of metabolomics apporoaches in the area of traditional Chinese medicine: as pillars of the bridge between Chinese and Western medicine

X Wang, H Sun, A Zhang, W Sun, P Wang… - Journal of pharmaceutical …, 2011 - Elsevier
Traditional Chinese medicine (TCM) is a holistic approach to health that attempts to bring
the body, mind and spirit into harmony. Entering 21st century, TCM is getting more and more …

Predicting coronary artery disease: a comparison between two data mining algorithms

H Ayatollahi, L Gholamhosseini, M Salehi - BMC public health, 2019 - Springer
Abstract Background Cardiovascular diseases (CADs) are the first leading cause of death
across the world. World Health Organization has estimated that morality rate caused by …

The impact of artificial intelligence on traditional Chinese medicine

Y Wang, X Shi, L Li, T Efferth… - The American journal of …, 2021 - World Scientific
Traditional Chinese Medicine (TCM) is a well-established medical system with a long
history. Currently, artificial intelligence (AI) is rapidly expanding in many fields including …

[HTML][HTML] Big data and clinicians: a review on the state of the science

W Wang, E Krishnan - JMIR medical informatics, 2014 - medinform.jmir.org
Background: In the past few decades, medically related data collection saw a huge increase,
referred to as big data. These huge datasets bring challenges in storage, processing, and …

Computational traditional Chinese medicine diagnosis: a literature survey

Q Zhang, J Zhou, B Zhang - Computers in Biology and Medicine, 2021 - Elsevier
Abstract Background and objective Traditional Chinese Medicine (TCM) diagnosis is based
on the theoretical principles and knowledge, where it is steeped in thousands of years of …

A systematic literature review and classification of knowledge discovery in traditional medicine

G Arji, R Safdari, H Rezaeizadeh, A Abbassian… - Computer methods and …, 2019 - Elsevier
Abstract Introduction and Objective Despite the importance of machine learning methods
application in traditional medicine there is a no systematic literature review and a …