scholarly journals AI Enabled Self Diagnosis Predictor Tool using Tongue Image Capture with Automatic Prescription Generation

WHO data shows that half of the people in the world suffer due to basic health care needs as there are not enough medical facilities available in many parts of the world. It is difficult for the refugees to have all the basic health care needs and not enough doctors available for primary diagnosis. To diagnose the person there are many methods by which the doctor can predict what type disease one might be suffering from. One of those factors includes the first diagnosis done by just observing the tongue, as it’s the only visible part of the body and one of the factors which helps for primary diagnosis and widely accepted by doctors in TCM, diagnosis. It addresses for an aid to people to do primary diagnosis from tongue using AI device, like Raspberry Pi with camera, which is trained using tongue dataset of different types of tongue images like strawberry tongue, Black tongue, normal tongue, Red tongue, Swallowed tongue etc. for various symptoms of various diseases to identify the type of the tongue and based on that it will generate the prescription. The proposed research work is based on the edge computing and does not need any internet or cloud support and best suitable for installing as portable kiosk in affected areas where primary medical facility is not available. The report generated by system has primary predicted suggestions based on the tongue diagnosis using AI

1999 ◽  
Vol 9 (4) ◽  
pp. 305-316 ◽  
Author(s):  
Steve Iliffe ◽  
Mari Gould ◽  
Paul Wallace

Research carried out in the 1950s and early 1960s indicated that there was considerable unmet need amongst older people in Britain. This work prompted research into ways of meeting the health care needs of older people, a task made more important by the aging of the population at the end of this century. This focus resulted in the introduction in 1990 of a nationwide health assessment programme for older people, as a contractual obligation for general practitioners. The programme, the first in the world, remains in force but is widely ignored. This paper describes:


Author(s):  
Shiva Raj Adhikari

The popular poverty estimation method follows the cost of basic needs approach through estimation of poverty line. Health care is a basic necessity of life, as important as food, shelter, and clothing; however, current practice of estimating poverty indicators in Nepal does not capture the basic health care cost. Not accounted of out of pocket payment for health care into the poverty estimation could give a misleading picture of trends in poverty over time. Ignoring health care costs altogether can result in misclassifying which households or individuals are in the greatest need. Therefore, the paper estimated the revised poverty statistics with explicitly accounting for basic health care needs along with other basic needs such as food, clothing, and shelter by utilizing the Nepal living standard surveys(2010/11) data. The paper used the Foster, Greer and Thorbecke (FGT) poverty estimation method to estimate hidden or underestimated poverty before and after accounting health care payment. The results show that official poverty statistics are significantly underestimated while incorporating basic health care cost in the estimation of poverty statistics in Nepal. Out of pocket payments for health care of different diseases have different impoverishment impacts in terms of incidence and intensity of poverty. Higher average costs of health care cause higher impoverishment impacts. This paper indicates that incidence of poverty is underestimated by almost 4 percentage point and intensity of poverty is underestimated by 0.29 percent based on official estimation of poverty. Economic Journal of Development Issues Vol. 23 & 24 No. 1-2 (2017) Combined Issue, Page : 18-34


2021 ◽  
pp. 120633122110199
Author(s):  
Josiane Carine Tantchou

This article addresses access to basic health care facilities in Morocco, by emphasizing the issue of accommodation (Penchansky & Thomas, 1981). This article is based on data collected over three years spent in Rabat, Morocco, for fieldwork. The first year focused on hypertension. Research authorization was required for this research, which was obtained from the Ministry of Health. Research tools consisted of observations, in-depth interviews, and focus group discussions. I argue that waiting is not a passive experience or state. It is experienced with and through a mindful body (Scheper-Hughes & Lock, 1987), as an active and dynamic process that happens in a waiting room. The waiting room is conceptualized as a sphere of coexisting heterogeneity (Massey, 2005), allowing the concomitant presence of the body-self, social body, and the body politic, equivalent to body-inside and body-outside, respectively. By relating multiplicity and heterogeneity to time—biomedicine’s time, different from patients’ time, but also from the body’s time or somatic time (Limor Meoded, 2018)—, I argue that the space of the waiting room brings these various temporalities together, commanding new configurations and processes (Massey, 2005). The dynamic process of waiting is embodied; it can burst out in the form of tension, when the concomitant presence of distinct trajectories, bodies, and temporalities inside the waiting room, sometimes generate violence (verbal and symbolic). Allowing this heterogeneity to coexist smoothly is the challenge of hospital architecture and its analysis from a phenomenological perspective will bring rich data to explore and extend the project of an anthropogeography of emotions and perception.


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