Efficacy prediction based on attribute and multi-source data collaborative for auxiliary medical system in developing countries

2022 ◽  
Author(s):  
Genghua Yu ◽  
Jia Wu
Keyword(s):  
Developing Countries ◽  
Medical System ◽  
Source Data ◽  
Efficacy Prediction

Narrating Experiences of Breast Cancer: Reflections of Women Attending a Private Hospital in Bloemfontein, South Africa

2017 ◽  
Vol 13 (1) ◽  
pp. 136-157
Author(s):  
Alessandra K. Heggenstaller ◽  
Katinka De Wet ◽  
Jan K. Coetzee ◽  
Florian Elliker
Keyword(s):  
Breast Cancer ◽  
South Africa ◽  
Developing Countries ◽  
Private Hospital ◽  
Ethic Of Care ◽  
Medical System ◽  
Death Sentence ◽  
Self Perception ◽  
Medical Encounter ◽  
Treatment Regimens

It is commonly thought that breast cancer, like many other cancers, is an illness equivalent to a death sentence. Though this may be true in some cases, the majority of women diagnosed with breast cancer do survive this illness. Breast cancer is a growing illness and is continuing to affect women worldwide, including developing countries like South Africa. Furthermore, this country’s medical system operates in terms of a duality. Here, hospitals and healthcare are mainly situated in either state operated institutions or in privately run practices. This duality emphasizes the inequality within the socio-economic classes, treatment regimens, and ethic-of-care. This article deals with how women from the higher socio-economic stratum of the deeply polarized South Africa deal with breast cancer. The aim is to understand how each participant renegotiates and transforms her self-perception, her identity, and issues around femininity. In addition, the authors also seek to understand if this medical encounter influences the participants’ sense of embodiment, as well as how the medical encounter impacts on their everyday lifeworld.

scholarly journals Thoughts on the Future Medical Care Pattern of Pediatrics in China Based on the Outbreak of COVID-19

2020 ◽  
pp. 1-2
Author(s):  
Hui Liu ◽  
Li Wang
Keyword(s):  
Developing Countries ◽  
Medical Care ◽  
Medical Staff ◽  
Current Medical ◽  
Medical System ◽  
Chinese Children ◽  
Medical Services ◽  
The World ◽  
The Future ◽  
Care Pattern

ABSTRACT The outbreak of pneumonia known as coronavirus disease (COVID-19) has occurred in China since December 2019 and spread rapidly across the world. Pediatric medical workers have a serious imbalance doctor–patient ratio in China; they have accumulated experience during the fight against COVID-19; however, some flaws were revealed in their current medical system. Meanwhile, these problems were also reported in other countries. Thus far, the outbreak of COVID-19 is still rampant across the world. The experience from anti-COVID-19 could be useful and teach us to provide better medical services for Chinese children and prepare for similar public emergencies in the future. Furthermore, it also provides guidance for pediatric medical staff in managing COVID-19 in other developing countries.

scholarly journals An intelligent decision-making support system for the detection and staging of prostate cancer in developing countries

2020 ◽  
Author(s):  
Jun Zhang ◽  
Zhigang Chen ◽  
Jia Wu ◽  
Kanghuai Liu
Keyword(s):  
Prostate Cancer ◽  
Experimental Data ◽  
Decision Making ◽  
Developing Countries ◽  
Intelligent System ◽  
Medical System ◽  
Image Feature ◽  
Final Decision ◽  
Medical Systems ◽  
Cancer Data

Abstract Background Most developing countries face great problems in the medical, and the threat posed by large populations, scarce medical resources and inadequate medical personnel will affect the development and stability of the society. Therefore, for most developing countries, the development of intelligent medical systems can greatly alleviate the social contradictions arising from this problem. Intelligent Medical System is a system to assist doctors to make decisions. Through effective input, the system makes corresponding decisions and provides doctors with corresponding auxiliary diagnosis and relevant treatment plans. Methods The experimental team collected and compiled about 2,156,528 data items based on the hospitalization information of more than 8,000 prostate patients in three hospitals of Xiangya. The ratio of experimental data to test data was about 7: 3. Combining prostate cancer images and physical indicators to assist diagnosis and make decisions, from the extraction of corresponding image feature data to the final diagnosis decision, a new intelligent system for prostate cancer data decision-making based on Perceptron neural network is proposed. In the comprehensive decision-making, the final decision is made by using the rule-reasoning model. Through data collection, medical data analysis and integration, image processing and analysis, and disease detection and decision-making processes, patients are assisted in diagnosis and treatment to solve the problems and social contradictions facing most developing countries. Results Through the study of hospitalization information of more than 8,000 prostate patients in three hospitals, about 2,156,528 data items were collected and compiled for experiment purposes. Experimental data shows that when the patient base increases from 200 to 8,000, the accuracy of the machine-assisted diagnostic system will increase from 61% to 87%, and the doctor's diagnosis rate will be reduced to 81%. Conclusions From the study, it is concluded that when the patient base reaches a certain number, the diagnostic accuracy of the machine-assisted diagnosis system will exceed the doctor's expertise. So the smart medical system can help doctors and Medical experts make suggest more effective treatments.

scholarly journals Ethnobotanical study of the toxicity of Ecballium elaterium (L.) A. Rich in the Northest of Algeria

2020 ◽  
pp. 9-13
Author(s):  
Rym Amrouni ◽  
Souilah Nabila ◽  
Hamdi Bendif ◽  
Nassera Daoud ◽  
Hacene Laredj
Keyword(s):  
Developing Countries ◽  
Herbal Medicine ◽  
Medicinal Plants ◽  
Medical Care ◽  
Traditional Medicine ◽  
Medical System ◽  
Ethnobotanical Study ◽  
Potential Toxicity ◽  
Wide Range ◽  
Medicinal Flora

Medicinal plants still remain a source of medical care in developing countries, in the absence of a modern medical system. The use of herbal medicine is deeply rooted in our culture, because Algeria is renowned for the richness of its medicinal flora which includes hundreds of plant species. Ecballium elaterium (L.) A. Rich., the species reported in this study is traditionally used in Algeria for a wide range of illnesses. The aim of this study was to evaluate the potential toxicity of it. Many herbalists (two hundred) in different regions in Northern Algeria (Tébessa, Khenchela, Oum El Bouaghi, Constantine, Skikda were questioned to recognize the toxicological concern of E. elaterium in Algerian traditional medicine in these regions.

CMED: Cloud based medical system framework for rural health monitoring in developing countries

2016 ◽  
Vol 53 ◽  
pp. 469-481 ◽  
Author(s):  
Kashfia Sailunaz ◽  
Musaed Alhussein ◽  
Md. Shahiduzzaman ◽  
Farzana Anowar ◽  
Khondaker Abdullah Al Mamun
Keyword(s):  
Developing Countries ◽  
Rural Health ◽  
Health Monitoring ◽  
Medical System ◽  
System Framework

Using Open Source Data to Measure Street Walkability and Bikeability in China: A Case of Four Cities

2018 ◽  
Vol 2672 (31) ◽  
pp. 63-75 ◽  
Author(s):  
Peiqin Gu ◽  
Zhiyuan Han ◽  
Zhejing Cao ◽  
Yulin Chen ◽  
Yang Jiang
Keyword(s):  
Developing Countries ◽  
Urban Planning ◽  
Open Source ◽  
Policy Implications ◽  
Street Network ◽  
Planning And Design ◽  
Open Source Data ◽  
Source Data ◽  
Urban Planning And Design ◽  
Daily Travel

Whether people would choose to walk or ride a bike for their daily travel is affected by how desirable the environment is for walking and biking. To better inform urban planning and design practices, studies on measuring walkability and bikeability have emerged in western countries over the last decade. However, such efforts are still rare in developing countries, partially due to the scarcity of urban data. Utilizing open source data, this paper puts forward a methodology to comprehensively and objectively measure street walkability and bikeability in China. The methodology was applied to four Chinese cities: Tianjin, Chongqing, Kunming, and Shijiazhuang. Analyses showed the following results: (1) city centers tend to have higher walkability than periphery areas; (2) a preliminary bikeable street network exists in most cities (except mountainous cities), but the prevalence of bike lanes on streets is much lower than that of sidewalks; (3) the problem of illegal parking on both sidewalks and bike lanes is severe, especially in city centers; (4) biking safety and comfort is compromised due to a lack of physically separated bike lanes; and (5) the street wall continuity varies from place to place whereas the street network in traditional city centers is much denser than newly developed car-oriented areas. The end of the paper provides corresponding policy implications.

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