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 …
Using association rules mining to explore pattern of Chinese medicinal formulae (prescription) in treating and preventing breast cancer recurrence and metastasis
Background Chinese herbal medicine is increasingly widely used as a complementary
approach for control of breast cancer recurrence and metastasis. In this paper, we examined …
approach for control of breast cancer recurrence and metastasis. In this paper, we examined …
An evaluation of indexes as support tools in the diagnosis of sleep apnea
This article evaluates several indexes as support tools to diagnose patients with Sleep
Apnea-Hypopnea Syndrome (SAHS). Some of these indexes, such as the Apnea-Hypopnea …
Apnea-Hypopnea Syndrome (SAHS). Some of these indexes, such as the Apnea-Hypopnea …
Data mining techniques in the diagnosis of tuberculosis
T Asha, S Natarajan, KNB Murthy - … —Global Experiences and …, 2012 - books.google.com
Data mining is the knowledge discovery process which helps in extracting interesting
patterns from large amount of data. With the amount of data doubling every three years, data …
patterns from large amount of data. With the amount of data doubling every three years, data …
[HTML][HTML] Research on Traditional Chinese Medicine: Domain Knowledge Graph Completion and Quality Evaluation
C Liu, Z Li, J Li, Y Qu, Y Chang, Q Han… - JMIR Medical …, 2024 - medinform.jmir.org
Background Knowledge graphs (KGs) can integrate domain knowledge into a traditional
Chinese medicine (TCM) intelligent syndrome differentiation model. However, the quality of …
Chinese medicine (TCM) intelligent syndrome differentiation model. However, the quality of …
Data mining techniques in health informatics: a case study from breast cancer research
J Lu, A Hales, D Rew, M Keech, C Fröhlingsdorf… - … Technology in Bio-and …, 2015 - Springer
This paper presents a case study of using data mining techniques in the analysis of
diagnosis and treatment events related to Breast Cancer disease. Data from over 16,000 …
diagnosis and treatment events related to Breast Cancer disease. Data from over 16,000 …
Healthcare data mining, association rule mining, and applications
CW Cheng, MD Wang - Health informatics data analysis: methods and …, 2017 - Springer
In this chapter, we first introduce data mining in general by summarizing popular data mining
algorithms and their applications demonstrated in real healthcare settings. Afterward, we …
algorithms and their applications demonstrated in real healthcare settings. Afterward, we …
Mining association rules for neurobehavioral and motor disorders in children diagnosed with cerebral palsy
C Cheng, TG Burns, MD Wang - 2013 IEEE International …, 2013 - ieeexplore.ieee.org
Children diagnosed with cerebral palsy (CP) appear to be at high risk for developing
neurobehavioral and motor disorders. The most common disorders for these children are …
neurobehavioral and motor disorders. The most common disorders for these children are …
Extraction of information on elder motor ability from clinical and biomechanical data through data mining
This study aimed at evaluating the additional knowledge provided by a biomechanical test
coupled with clinical tests for motor ability assessment. A database including clinical test …
coupled with clinical tests for motor ability assessment. A database including clinical test …
PHARM-Association Rule Mining for Predictive Health
Predictive health is a new and innovative healthcare model that focuses on maintaining
health rather than treating diseases. Such a model may benefit from computer-based …
health rather than treating diseases. Such a model may benefit from computer-based …