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 …
structural and unstructured data, using scientific methods, data mining techniques, machine …
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 …
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 …
challenges that make traditional method improper for knowledge extraction. Data mining is …
Emerging information technologies for enhanced healthcare
The appropriate collection and consumption of electronic health information about an
individual patient or population is the bedrock of modern healthcare, where electronic …
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 …
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 …
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 …
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 …
referred to as big data. These huge datasets bring challenges in storage, processing, and …
Computational traditional Chinese medicine diagnosis: a literature survey
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 …
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
Abstract Introduction and Objective Despite the importance of machine learning methods
application in traditional medicine there is a no systematic literature review and a …
application in traditional medicine there is a no systematic literature review and a …