Acute Diseases Prognosis using Chatbot

The role of chatbots in healthcare is to help free-up valuable physician-time by reducing or eliminating unnecessary doctor’s appointments. As the increase in cost, various healthcare organizations are looking for different ways to manage cost while improving the user’s experience. As we know there is shortage of healthcare professionals that makes it increasingly necessary for us to augment technology with health facilities in order to allow doctors to focus on more critical patient needs. Keeping this in Mind we are aiming to develop a Project that will basically ask for Symptoms from the Patient and perform the Prognosis on the basis of already developed dataset. The Machine Learning Algorithm will work on that dataset of symptoms and their prognosis to tell exactly what has happened to the Patient and will help to Reach the Desired Consultant/Doctor with respect to the Prognosis. It will also help the Patients to get Useful Information regarding different diseases that may help to deal with some Chronic Diseases at an early Stage!’

Perspective: Covid-19; emerging strategies and material technologies

It will be remembered in history as the event that brought the world together with science and technology; the COVID-19 pandemic has allowed for decades worth of progression in both healthcare policies and technology development. It has been a show of unprecedented global health policies ranging from the legal requirement for public facemask use to the use of tough movement restrictions that has bought the world’s economy to its knees. Here, we observe the impact of national lockdowns, facemask usage, and their effect on infection rates. It is clear that healthcare policies alone cannot tackle a pandemic. There is a huge pressure to develop personal protective equipment that not only has the capacity to prevent transmission but also has the ergonomics to be worn for long durations. In this work, we reveal our views and thoughts on the healthcare policies and developing materials and technology strategies that have contributed to reduce the damage of the pandemic, coming from the perspectives of materials scientists and a UK National Health Service consultant doctor.

Food Poisoning and Care-Seeking Behavior - Cases of Students from the City of Mohammedia in Morocco - Prospective Study

Background: Food poisoning is a problem that affects public health. It is unveiling opens an opportunity for action to identify and avoid the problem. The main objective of this study is to analyze the environmental factors that influence the obligation to consult a doctor or not following food poisoning.Methods: The study was conducted, following a prospective survey, on a sample of 408 students chosen at random from six schools of urban origin in the city of Mohammedia in Morocco.Results: 33.6% of the students confirmed having consulted the doctor against 66.4% after food poisoning. In the same way, we found that 16.2% (n = 66) of the students who declared poisoning following the consumption of an offending food were hospitalized. In addition, only 13.6% of intoxicated carried out analyzes were requested by the consultant doctor. 59.3% of the drugs prescribed by doctors are anti-infectious followed by gastro-entero-hepatology 15.4% and 12.3% are analgesics.Conclusions: Overall, this study confirms that food poisoning is very frequent among students in Morocco, so parents should be educated about the danger of food poisoning in their children, by presenting them to a doctor immediately after contamination to avoid complications.