Using Decision Tree to Analyze Patient of Aortic Aneurysm with Chronic Diseases in Clinical Application

2013 ◽  
Author(s):  
Kuang-Yi Chou ◽  
Chun-Che Shih ◽  
Huan-Chao Keh ◽  
Po-Yuan Yu ◽  
Yuan-Cheng Cheng ◽  
...  
Keyword(s):  
Aortic Aneurysm ◽  
Decision Tree ◽  
Chronic Diseases ◽  
Clinical Application

scholarly journals Decision-making algorithm for ascending aortic aneurysm: Effectiveness in clinical application?

2019 ◽  
Vol 157 (5) ◽  
pp. 1733-1745 ◽  
Author(s):  
Ayman Saeyeldin ◽  
Mohammad A. Zafar ◽  
Yupeng Li ◽  
Maryam Tanweer ◽  
Mohamed Abdelbaky ◽  
...  
Keyword(s):  
Decision Making ◽  
Aortic Aneurysm ◽  
Clinical Application ◽  
Ascending Aortic Aneurysm

scholarly journals Curcumin Delivery Mediated by Bio-Based Nanoparticles: A Review

Molecules ◽  
2020 ◽  
Vol 25 (3) ◽  
pp. 689 ◽  
Author(s):  
Mahshid Moballegh Nasery ◽  
Banafshe Abadi ◽  
Delaram Poormoghadam ◽  
Ali Zarrabi ◽  
Peyman Keyhanvar ◽  
...  
Keyword(s):  
Chronic Diseases ◽  
Clinical Application ◽  
Therapeutic Efficacy ◽  
Present Review ◽  
Pharmacological Activities ◽  
Prevention And Treatment ◽  
Target Sites ◽  
Different Types ◽  
Important Field ◽  
Significant Attention

Todays, nano-pharmaceutics is emerging as an important field of science to develop and improve efficacy of different drugs. Although nutraceuticals are currently being utilized in the prevention and treatment of various chronic diseases such as cancers, a number of them have displayed issues associated with their solubility, bioavailability, and bio-degradability. In the present review, we focus on curcumin, an important and widely used polyphenol, with diverse pharmacological activities such as anti-inflammatory, anti-carcinogenic, anti-viral, etc. Notwithstanding, it also exhibits poor solubility and bioavailability that may compromise its clinical application to a great extent. Therefore, the manipulation and encapsulation of curcumin into a nanocarrier formulation can overcome these major drawbacks and potentially may lead to a far superior therapeutic efficacy. Among different types of nanocarriers, biological and biopolymer carriers have attracted a significant attention due to their pleiotropic features. Thus, in the present review, the potential protective and therapeutic applications of curcumin, as well as different types of bio-nanocarriers, which can be used to deliver curcumin effectively to the different target sites will be discussed.

scholarly journals Mining Sequential Risk Patterns for Early Assessment of COPD

2019 ◽  
pp. 496-502
Author(s):  
Saniya PK ◽  
Bineesh V.
Keyword(s):  
Decision Tree ◽  
Chronic Diseases ◽  
Pattern Mining ◽  
Stage Iv ◽  
Severe Illness ◽  
Chronic Obstructive ◽  
Early Assessment ◽  
Obstructive Pulmonary Disease ◽  
Clinical Records ◽  
Risk Pattern

Nowadays, chronic diseases have been among the major concerns in medical fields since they may cause heavy burden on healthcare resources and disturb the quality of life. Chronic Obstructive Pulmonary Disease (COPD) is one kind of popular chronic diseases. COPD takes long period to evolve from mild symptoms (Stage I) to severe illness (Stage IV) and death. Earlier the disease is detected, the better the scope for effective treatment and improved control of symptom development. Therefore, the early of COPD is beneficial for better treatment. The paper examines the novel system for early appraisal on chronic illnesses by mining sequential risk patterns with interim data from diagnostic clinical records utilizing sequential rules mining and classification modelling systems. The system consists of four phases namely data pre-processing, risk pattern mining, classification modelling. SPADE algorithm and CBS algorithm used for risk pattern mining and classification. Decision tree algorithm is compared with the SPADE algorithm, and SPADE showing a better accuracy when comparing with decision tree.

scholarly journals Machine Learning Implementation of a Diabetic Patient Monitoring System Using Interactive E-App

2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Malik Bader Alazzam ◽  
Hoda Mansour ◽  
Fawaz Alassery ◽  
Ahmed Almulihi
Keyword(s):  
Physical Activity ◽  
Machine Learning ◽  
Type 2 Diabetes ◽  
Decision Tree ◽  
Chronic Diseases ◽  
Lifestyle Changes ◽  
Self Management ◽  
Healthy Weight ◽  
Time Activity

Lifestyle influences morbidity and mortality rates in the world. Physical activity, a healthy weight, and a healthy diet are key preventative health behaviours that help reduce the risk of developing type 2 diabetes and its complications, such as cardiovascular disease. A healthy lifestyle has been shown to prevent or delay chronic diseases and their complications, but few people follow all recommended self-management behaviours. This work seeks to improve knowledge of factors affecting type 2 diabetes self-management and prevention through lifestyle changes. This paper describes the design, development, and testing of a diabetes self-management mobile app. The app tracked dietary consumption and health data. Bluetooth movement data from a pair of wearable insole devices are used to track carbohydrate intake, blood glucose, medication adherence, and physical activity. Two machine learning models were constructed to recognise sitting and standing. The SVM and decision tree models were 86% accurate for these tasks. The decision tree model is used in a real-time activity classification app. It is exciting to see more and more mobile health self-management apps being used to treat chronic diseases.

Patterns and Related Influencing Factors of Multiple Chronic Diseases Among the Elderly Based on Data Mining in Shanxi, China

2020 ◽  
Author(s):  
Chichen Zhang ◽  
Shujuan Xiao ◽  
Lei Shi ◽  
Xiao Zheng ◽  
Fang Dong ◽  
...  
Keyword(s):  
Data Mining ◽  
Decision Tree ◽  
Chronic Diseases ◽  
Influencing Factors ◽  
The Elderly ◽  
Education Level ◽  
Public Health Issue ◽  
Tree Model ◽  
Genetic History ◽  
Multiple Chronic Diseases

Abstract Background: The presence of multiple chronic diseases has become a public health issue worldwide. The study aimed to explore the patterns and related influencing factors of multiple chronic diseases among the elderly so as to provide a scientific reference for the health management strategy, which is dedicated to the prevention and intervention for multiple chronic diseases. Methods: A cross-sectional study, which used a multi-stage random sampling way, was conducted among 3266 elderly aged 60 years and above in Shanxi. A chi square test was used to compare the sociodemographic factors. The data mining methods, including association rule and decision tree, were performed to explore the patterns and related influencing factors of multiple chronic diseases in the elderly.Results: The prevalence of multiple chronic diseases was 30.31%. According to the results of the association rules, there were 10 association patterns screened out. The first five multiple chronic disease patterns were atherosclerosis and hypertension, coronary heart disease and hypertension, diabetes and hypertension, stroke and hypertension, eye disease and hypertension. The decision tree model selected 5 related influencing factors of multiple chronic diseases, including age, smoking, family genetic history, fresh fruit intake frequency and education level, simultaneously generating 9 influence rules.Conclusions: Multiple chronic diseases were prevalent among the elderly, which patterns mainly consisted of two or three chronic diseases. Regarding the unmodifiable related influencing factors, including an older age, a family genetic history, and low education level, relevant departments should help the elderly to establish prevention knowledge and raise awareness of strongly related chronic diseases, so as to reduce the incidence and adverse consequences.

scholarly journals Clinical application of transcatheter endovascular graft placement for aortic aneurysm

1996 ◽  
Vol 27 (2) ◽  
pp. 278 ◽  
Author(s):  
Kani Inoue ◽  
Mitsuru Sato ◽  
Shunichi Tamaki ◽  
Tomoyuki Iwase ◽  
Tatsuo Fujioka ◽  
...  
Keyword(s):  
Aortic Aneurysm ◽  
Clinical Application ◽  
Graft Placement ◽  
Endovascular Graft
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