Yuxin Wang^*, Haoyue Ma, Lan Zheng

International Journal of Mental Health Promotion, Vol.25, No.5, pp. 673-686, 2023, DOI:10.32604/ijmhp.2023.026394

Abstract This study empirically examines whether child characteristics mitigate the negative impact of widowhood on the elderly’s mental health using follow-up survey data from the China Health and Retirement Longitudinal Study (CHARLS). A total of 5,326 older adults aged 60 years and older are selected from three waves of panel data (2013, 2015, and 2018). The findings suggest that respondents who experienced widowhood exhibit an increase in depressive symptoms. However, the higher income of children and frequent face-to-face emotional interactions improve the mental health of the widowed elderly. Moreover, heterogeneity analyses show that the buffering effect of higher child income is… More >

Mohamed Esmail Karar^1,2,*, Omar Reyad^1,3, Hazem Ibrahim Shehata^1,4

Computer Systems Science and Engineering, Vol.45, No.3, pp. 2377-2389, 2023, DOI:10.32604/csse.2023.032931

Abstract This article introduces a new medical internet of things (IoT) framework for intelligent fall detection system of senior people based on our proposed deep forest model. The cascade multi-layer structure of deep forest classifier allows to generate new features at each level with minimal hyperparameters compared to deep neural networks. Moreover, the optimal number of the deep forest layers is automatically estimated based on the early stopping criteria of validation accuracy value at each generated layer. The suggested forest classifier was successfully tested and evaluated using a public SmartFall dataset, which is acquired from three-axis accelerometer in a smartwatch. It… More >

Abeer Abdulaziz AlArfaj, Hanan Ahmed Hosni Mahmoud^*

Intelligent Automation & Soft Computing, Vol.35, No.2, pp. 2527-2540, 2023, DOI:10.32604/iasc.2023.030168

Abstract The detection of heart disease is a problematic task in medical research. This diagnosis utilizes a thorough analysis of the clinical tests from the patient’s medical history. The massive advances in deep learning models pursue the development of intelligent computerized systems that aid medical professionals to detect the disease type with the internet of things support. Therefore, in this paper, we propose a deep learning model for elderly patients to aid and enhance the diagnosis of heart disease. The proposed model utilizes a deeper neural architecture with multiple perceptron layers with regularization learning techniques. The model performance is verified with… More >

Stefania Nobili^*, Daniele Lavacchi^†, Gabriele Perrone^*, Giulio Vicini^†, Renato Tassi^‡1, Ida Landini^*, AnnaMaria Grosso^§, Giandomenico Roviello^*¶, Roberto Mazzanti^‡, Carmine Santomaggio^¶2, Enrico Mini^*¶

Oncology Research, Vol.28, No.3, pp. 237-248, 2020, DOI:10.3727/096504019X15755437099308

Abstract The use of vinorelbine as a single agent or in combination regimens in non-small cell lung cancer (NSCLC) is associated with satisfactory clinical activity. However, the role of vinorelbine-based chemotherapy in chemonaive locally advanced unresectable or metastatic NSCLC patients, according to real-world treatment patterns, has still not been widely explored. Eighty-one patients treated at a single institution were retrospectively analyzed. Thirty-seven received standard first-line single-agent vinorelbine, and 44 received vinorelbine plus platinum drugs, based on physician’s choice; 61.7% were older than 70 years, and 60.5% were affected by 2 comorbidities. Sixty-three patients were evaluable for objective response: 22% achieved partial… More >

S. Rajasekaran^1,*, G. Kousalya²

Computer Systems Science and Engineering, Vol.42, No.3, pp. 985-1000, 2022, DOI:10.32604/csse.2022.022234

Abstract The demand for better health services has resulted in the advancement of remote monitoring health, i.e., virtual nursing systems, to watch and support the elderly with innovative concepts such as being patient-centric, easier to use, and having smarter interactions and more accurate conclusions. While virtual nursing services attempt to provide consumers and medical practitioners with continuous medical and health monitoring services, access to allied healthcare experts such as nurses remains a challenge. In this research, we present Virtual Nursing Using Deep Belief Networks for Elderly People (DBN-EP), a new framework that provides a virtual nurse agent deployed on a senior… More >

Delphine Déniel^1,2,*, Fabienne Le Goc-Le Sager¹, Paul Touchard³, Véronique Marty⁴, Laurence Hasle⁵, Véronique Jestin Le Tallec⁶, Monique Jegaden⁷, Annaïk Pestel⁸, Virginie Jannou⁵, Sophie Pentecôte⁹, Laurence Guen^1,2, Christophe Perrin^1,10, Sandrine Estivin^1,3

Oncologie, Vol.23, No.4, pp. 453-461, 2021, DOI:10.32604/oncologie.2021.019964

Abstract Context: Since January 2021, vaccination for COVID-19 has been made possible in France for people aged 75 and over. Patients suffering from a cancer disease are part of a group at risk to develop severe complications to COVID-19. Method: The « Unité de coordination en Onco-Gériatrie région Bretagne » (the Brittany This work is licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Coordinating Unit in Onco-Geriatrics) has wished to set up an inquest about the acceptability and the tolerance to COVID-19 vaccination… More >

Menglong Li^1,*, Xia Jiang², Yujia Ren¹

International Journal of Mental Health Promotion, Vol.24, No.1, pp. 129-142, 2022, DOI:10.32604/ijmhp.2022.016671

Abstract Objective: To understand the influence of public square dancing on the subjective well-being of middle-aged and elderly people. Methods: According to the principle of Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, we search Chinese databases, such as CNKI, Wanfang Data, and VIP, and English databases, such as Proquest, Web of Science, Pubmed, Cochrane, and ScienceDirect, and collect relevant articles at home and abroad from 2006 to December 2019 for meta-analysis in January 2020. Result: A total of 10 articles were included. The meta-analysis results showed that the well-being of middle-aged and elderly people in the public square… More >

G. Anitha^1,*, S. Baghavathi Priya²

Computer Systems Science and Engineering, Vol.42, No.1, pp. 87-103, 2022, DOI:10.32604/csse.2022.020361

Abstract Human fall detection plays a vital part in the design of sensor based alarming system, aid physical therapists not only to lessen after fall effect and also to save human life. Accurate and timely identification can offer quick medical services to the injured people and prevent from serious consequences. Several vision-based approaches have been developed by the placement of cameras in diverse everyday environments. At present times, deep learning (DL) models particularly convolutional neural networks (CNNs) have gained much importance in the fall detection tasks. With this motivation, this paper presents a new vision based elderly fall event detection using… More >

Lihua Zhu¹, Yan Zhang¹, Yu Wang^1,*, Cheire Cheng²

CMC-Computers, Materials & Continua, Vol.71, No.1, pp. 593-609, 2022, DOI:10.32604/cmc.2022.022053

Abstract In nowadays society, the safety of the elderly population is becoming a pressing concern, especially for those who live alone. There might be daily risks such as accidental falling or treatment attack on them. Aiming at these problems, indoor positioning could be a critical way to monitor their states. With the rapidly development of the imaging techniques, wearable and portable cameras are very popular, which could be set on human individual. And in view of the advantages of the visual positioning, the authors propose a binocular visual positioning algorithm to real-timely locate the elderly indoor. In this paper, the imaging… More >

Khalid Alzahrani^1,*, Mrim Alnfiai²

Computer Systems Science and Engineering, Vol.41, No.2, pp. 445-460, 2022, DOI:10.32604/csse.2022.020620

Abstract A complete and thorough understanding by patients of their prescriptions is one of the most critical components of a successful treatment journey. Being unfamiliar with the intricacies of prescribed medication can cause serious health risks due to not adhering to prescription instructions or noting potential drug interactions, which can lead to life-threatening injuries. Pharmacists face communication barriers (including non-English speaking patients), lack of time, lack of knowledge, workload, and frequent interruption when dispensing medicines often preventing them from providing the necessary guidance to their patients. To minimize this risk, an NFC-Guidable polypharmacy system was developed integrating Near Field Technology (NFC)… More >