Yuxin Wang^1,2,*, Jia Shi^1,2

International Journal of Mental Health Promotion, Vol.26, No.1, pp. 69-80, 2024, DOI:10.32604/ijmhp.2023.044641

Abstract In the 21st century, the rapid growth of the Internet has presented a significant avenue for China to respond actively to the aging population and promote the “Healthy China” strategy in an orderly manner. This study uses panel data from the China Health and Retirement Longitudinal Study (CHARLS) to empirically investigate the influence of Internet use on the mental health of older adults, particularly those who lack intergenerational emotional support and suffer from chronic diseases. This study employs a multi-period difference-in-differences (DID) method and a two-stage instrumental variable approach to address the endogenous problem. Results show that Internet use has… More >

S. Kavi Priya^*, N. Saranya

Computer Systems Science and Engineering, Vol.46, No.2, pp. 2571-2587, 2023, DOI:10.32604/csse.2023.031761

Abstract Around the globe, chronic diseases pose a serious hazard to healthcare communities. The majority of the deaths are due to chronic diseases, and it causes burdens across the world. Through analyzing healthcare data and extracting patterns healthcare administrators, victims, and healthcare communities will get an advantage if the diseases are early predicted. The majority of the existing works focused on increasing the accuracy of the techniques but didn’t concentrate on other performance measures. Thus, the proposed work improves the early detection of chronic disease and safeguards the lives of the patients by increasing the specificity and sensitivity of the classifiers… More >

S. Prakash^1,*, P. Vishnu Raja², A. Baseera³, D. Mansoor Hussain⁴, V. R. Balaji⁵, K. Venkatachalam⁶

Computer Systems Science and Engineering, Vol.42, No.3, pp. 1273-1287, 2022, DOI:10.32604/csse.2022.021784

Abstract Urban living in large modern cities exerts considerable adverse effects on health and thus increases the risk of contracting several chronic kidney diseases (CKD). The prediction of CKDs has become a major task in urbanized countries. The primary objective of this work is to introduce and develop predictive analytics for predicting CKDs. However, prediction of huge samples is becoming increasingly difficult. Meanwhile, MapReduce provides a feasible framework for programming predictive algorithms with map and reduce functions. The relatively simple programming interface helps solve problems in the scalability and efficiency of predictive learning algorithms. In the proposed work, the iterative weighted… More >

Ali Abdulameer Aldujaili¹, Mohammed Dauwed², Ahmed Meri^3,*

Journal on Internet of Things, Vol.3, No.4, pp. 131-137, 2021, DOI:10.32604/jiot.2021.015994

Abstract Parents concerns for their children who has a critical health conditions may limit the children movements and live to engage with others peers anytime and anywhere. Thus, in this study aims to propose a framework to help the children who has critical disease to have more activity and engagement with other peers. Additionally, reducing their parents’ concerns by providing monitoring and tracking system to their parents for their children health conditions. However, this study proposed a framework include tracking and monitoring wearable (TMW) device and decision system to alert healthcare providers and parents for any failure in the children health… More >

Bin Yang^1,*, Lingyun Xiang², Xianyi Chen³, Wenjing Jia⁴

CMC-Computers, Materials & Continua, Vol.67, No.1, pp. 951-964, 2021, DOI:10.32604/cmc.2021.014839

Abstract Many chronic disease prediction methods have been proposed to predict or evaluate diabetes through artificial neural network. However, due to the complexity of the human body, there are still many challenges to face in that process. One of them is how to make the neural network prediction model continuously adapt and learn disease data of different patients, online. This paper presents a novel chronic disease prediction system based on an incremental deep neural network. The propensity of users suffering from chronic diseases can continuously be evaluated in an incremental manner. With time, the system can predict diabetes more and more… More >

Yi Yang^1,2,* , Tao Li³

International Journal of Mental Health Promotion, Vol.22, No.4, pp. 249-259, 2020, DOI:10.32604/IJMHP.2020.014321

Abstract This study is aimed to explore relations between chronic diseases, activities of daily living (ADLs) disability and depression among older adults, particularly ADLs disability mediational effects on the correlation between chronic diseases and geriatric depression. Records of 5931 participants at age 60 and above from China Health and Retirement Longitudinal Study (CHARLS) in 2015 were used as valid samples for data relating to their chronic diseases index, ADLs scale and Center for Epidemiologic Studies Depression (CES-D) scale. Our findings confirm that among older adults, 75.9% are afflicted with chronic diseases and 52.5% have ADLs difficulty or disability, and that there… More >

Ramachandran Vinyagam¹, Pradeep Kumar², Kyung Eun Lee^1,3, Baojun Xu⁴, Muhammad Nurul Matin^5,*, Sang Gu Kang^1,3,*

Phyton-International Journal of Experimental Botany, Vol.90, No.1, pp. 1-15, 2021, DOI:10.32604/phyton.2020.013388

Abstract Medicinal herbs are well known and studied over the past millennia in most of the developing countries as a rational means of treatment against various diseases and disorders. Wedelolactone (WDL), a major bioactive compound in Eclipta prostrata L (Eclipta alba L), has been reported with potential benefits in human health against chronic diseases. However, a comprehensive study on WDL pharmacological benefits in various ailments, to the best of our knowledge, is not yet reported. Thereof, the present review provides the recent therapeutic applications in reference to biological and functional activities against major human chronic diseases, including cardiovascular, cancer, diabetes mellitus,… More >