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Social Media Analytics Using R Programming
Published in Gulshan Shrivastava, Sheng-Lung Peng, Himani Bansal, Kavita Sharma, Meenakshi Sharma, New Age Analytics, 2020
Sonia Saini, Ruchika Bathla, Ritu Punhani
Duke et al. (2014) state that promoting evidence-based smoking cessation services via social networking sites can increase the use of smokers. Data used and used by social networks for the tobacco control program (TCP) has not been reported. This study examines the use and levels of activity of TCP in social networks, the coverage of TCP sites and the level of participation in the content of the website. Currently, the coverage of PCT national social networking sites is very low and most technical cooperation programs do not promote the existing interactive potential to stop services or use social networks (Gomide et al., 2011) analyzed how the dengue epidemic is reflected by tweets on the Twitter platform about that topic and how that information can be used for surveillance. Dengue fever is an infectious mosquito-borne disease which is a prime cause of mortality in the tropics and subtropics regions. This analysis allows eliminating content that is not related to dengue surveillance (Hawkins et al., 2016) states that identifying and analyzing the content of publications sent to the hospital can provide new real-time quality measures complementing traditional survey-based methods. The evaluation uses Twitter as a complementary data stream to measure the quality of care seen by patients in US hospitals and it compares the state of mind of patients to established quality measures. Tweets that describe the patient’s experience at the hospital cover a wide range of aspects of care that can be identified by automated methods.
Recommender system for health care analysis using machine learning technique: a review
Published in Theoretical Issues in Ergonomics Science, 2022
Salim G. Shaikh, B. Suresh Kumar, Geetika Narang
Dengue fever is the most deadly disease since there is no specific treatment for it. As a result, proper diagnosis and management of dengue patients can significantly reduce fatality rates. That’s the main reason to plan the develop recommender system for dengue fever using ML algorithms. Dengue fever is mostly prevalent in tropical as well as subtropical areas, and is spread by female Aedesaehypti mosquitoes. ‘High fever, headache, joint pain, vomiting, rashes, nausea, and discomfort behind the eyes, as well as swollen glands’, are the most common symptoms, which continue for 2–7 days after an incubation period. Severe dengue fever is a flu-like virus that can infect ‘babies, children and adults’, causing ‘hemorrhagic fever, internal bleeding, and respiratory problems, as well as mortality’. The visual representation of the proposed Recommender System for health care dengue fever model is shown in Figure 1.
Modeling spatial pattern of dengue in North Central Mexico using survey data and logistic regression
Published in International Journal of Environmental Health Research, 2021
Daniel Sánchez-Hernández, Carlos Arturo Aguirre-Salado, Guillermo Sánchez-Díaz, Alejandro Ivan Aguirre-Salado, Carlos Soubervielle-Montalvo, Oscar Reyes-Cárdenas, Humberto Reyes-Hernández, Marcela Virginia Santana-Juárez
Clinical progression of a typical dengue infection can be divided into three stages. Stage 1, classic dengue fever, or simply dengue fever (DF) characterized by several symptoms including headache, eye-pain, myalgia, arthralgia, some manifestations of hemorrhages, rash, anorexia, nausea and diminishing leucocyte counts. Some patients previously infected with the dengue virus can develop stage 2, dengue hemorrhagic fever (DHF) that may present extreme abdominal pain, constant vomiting, hypothermia (cold clammy skin), hemorrhages intensified by increased vascular permeability, narrow pulse pressure, rapid and weak pulse as well as experiencing irritability and confusion. Complications resulting from such symptoms lead to stage 3, dengue shock syndrome (DSS) which can be detected by a rapid and weak pulse, narrow pulse pressure (≤20 mmHg), anxiety and clammy skin. Some DF/DHF patients’ condition can suddenly deteriorate and falling into DSS, with a very clear risk of fatality (Günter et al. 2009; Castillo-Macías et al. 2017; McFee 2018).
Impact of incubation delay and stochastic perturbation on Dengue fever virus transmission model
Published in Applicable Analysis, 2023
Dengue fever is a typical vector-borne viral disease mainly transmitted by the bite of infectious female mosquitoes of Aedes aegypti and Aedes albopictus, which are distributed in most tropical, subtropical and temperate countries [1,2]. Symptoms of Dengue fever are characterized by high fever, severe headache, muscle and joint pains, nausea, swollen gland or rash and other symptoms [3]. Since DFVs can infect humans of all ages, the incidence of Dengue fever has increased dramatically around the world in recent years. One recent study estimates that 3.9 billion people, in 128 countries, are at risk of infection with this virus [4].