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Item type:Publication, Prototype of a monitoring and prevention system for people vulnerable to cardiac arrest and COVID-19 using IoT and SAP cloud platform(Seventh Sense Research Group, 2021-06-01)In the present work of investigation due to the worldwide conjuncture is being based on a system of monitoring and prevention for people vulnerable to cardiac arrests and covid -19 by means of the implementation of Arduino plates linked with an oximeter to measure the oxygenation in the blood that will help to monitor and to prevent cases of mortality in Peru. For the development of the project, we used the Scrum methodology and helped to develop an orderly manner and with daily communication and the advantages that this methodology provides are that it is incremental and iterative so that we can update, add or remove certain sprints that may not be useful. On the other hand, for the development of the prototype, we used builme, a tool for design with a code generator that is exclusively from SCP, where the interfaces are included as real-time information to monitor patients either from anywhere in the world to prevent early death. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Mobile application of medical diagnosis with the implementation of artificial intelligence in Metropolitan Lima(Seventh Sense Research Group, 2021-06-01)The objective is to avoid a greater number of infections, diagnosing patients through a mobile application that will solve and avoid the crowds of people outside the medical centers, The operation used was XP since we have the established weeks and processes to follow stages, which There are 4, planning, design, coding and testing, balsamiq was used for the prototypes, with the help of AI and “Android” mobile application; The statistical data obtained comes from the Peruvian medical college, which provides us with exact data on how the situation is in our society and we can apply it to solve the problem. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Prototype of drowsiness detection for drivers using facial recognition(Seventh Sense Research Group, 2021-05-01)In this study it was observed that many drivers have had difficulties in resting their full hours at least 8 hours, which is recommended for this reason a prototype of mobile application was proposed to help drivers who present these problems through information processes. The methodology that will help how to develop this application will be the Scrum methodology because it is adaptable according to the profile that is being required and easy to adapt to the constant changes that will arise in the process of its development, given the large number of accidents, which arise daily requires an absolutely fast delivery with the necessary resources that the application requires, with the efficiency in the response time to an eventuality, because in the long stretches, fatigue and sleepiness are caused by traffic accidents on the roads of Peru, Acute sleep deprivation, night driving habits, prolonged hours without the required rest, alcohol consumption, untreated sleep disorders, these are the symptoms that drivers often have, of course is progressively decreasing their ability to attention and concentration while driving, making you lose the ability to respond to specific conditions that require immediate reactions when going on the road, blinking or drowsiness when driving expresses a high level of fatigue and sleep. The accidents produced by the circumstances described above have a high degree of accident rate in terms of passengers killed, injured and material losses. And so it will be of great result and benefit to maximize the increase in vehicle safety and to be able to implement it in different vehicles. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, A mobile mapping system of all industrial oxygen sales locations and free locations in Lima - Peru(Seventh Sense Research Group, 2021-04-01)At the beginning of 2020, a pandemic was declared by the World Health Organization, caused by covid-19, this being a disease that attacks the lungs and causes difficulty when breathing, hospitalized people are placed on stretchers next to an artificial respirator connected to an oxygen balloon, with the passing of the months it became difficult to get oxygen balloons due to its demand, to help in this problem a mobile mapping system was made in which it provides me with the location where I can get oxygen balloons in sales or for free, you can see the district and the exact locations where you can get oxygen balloons, you will also get the information from the supplier. The Scrum methodology was applied since it is adaptable to changes, difficulties that were on the way could be solved without affecting the progress of the project. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Design of a mobile application to changethe child vaccination establishmentunder the COVID-19 pandemic(IJETAE Publication House, 2022-02-01)The research analyzed the desertion of child vaccination in Peru, because parents could not immunize their children and that they changed their place of residence, taking refuge in the countryside for fear of contagion of COVID-19; and the shortage of work as a result of the measures taken by the state in the face of significant increases in COVID-19 infections, brought serious consequences in the decrease in the percentages of vaccinated children with a decrease to 61.1% of childhood immunization, as a result of the long and difficult processes to be able to immunize a minor in a vaccination establishment different from the one that attended for immunization; the objective being to increase the percentage of immunized children, through the use of a mobile application, where the parent will have the option of viewing the list of nearby vaccination facilities where they wish to immunize their child, as well as being able to make changes to the establishment of vaccination, avoiding the long and difficult process that currently has to be carried out in order to make a change in the vaccination establishment. The methodology used is Scrum; thanks to this methodology, the work was carried out efficiently and satisfactorily. The result of the research was satisfactory, and this can be said thanks to the results of the survey carried out with parents, where the majority indicated they agree on how important and efficient the web application is; thanks to the fact that it facilitates the change of health facility for many parents who had to change residence and take refuge in the countryside due to lack of work and fear of contagion of COVID-19. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Use of machine learning to predict the occurrence of deaths in the departments most affected by COVID-19 in Peru(Seventh Sense Research Group, 2022-03-01)This article shows the use of machine learning to predict the occurrence of deaths in the areas most affected by covid-19 in Peru, where the records of deaths during the pandemic are found reflecting the damage caused by this pandemic, according to a MINSA report in a standard format for analysis that contains all the detailed information of each person. The machine learning procedure is a method of data analysis that automates the construction of analytical models in which we will apply the decision tree where we will use the Python programming language to make the predictions of the deaths caused by covid-19 in the departments, and it will also help us to train the model for greater accuracy in obtaining expected results. In such a way, it can elaborate scenario predictions or initiate operations that are the solution for a specific task. As a case study, it was carried out in the 25 departments of Peru to analyze the departments with the highest mortality rates in our country. As a result of the study were that the departments of Lima, Piura, Huánuco, Ica have the highest rate of deaths by covid-19; this may be due to the biosecurity measures and social distancing; it is worth mentioning that to date they are the departments that have had more policy interventions in recent years. The results of this study may help the authorities to create prevention and sanitary control strategies by implementing rigorous measures in Peru. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Analyze the spread of coronavirus in the world to predict new cases under machine learning techniques(Seventh Sense Research Group, 2022-07-01)Coronavirus is a worldwide pandemic disease. At the same time, it is making unexpected changes in different countries of the World, with new variants in each region due to their autonomous climates. That is why the coronavirus is mutating, and there is a massive contagion that causes death. Consequently, it is necessary to analyze and identify where the new cases occurred and where is the possible area of attack of the new variant of covid 19. It is also necessary to know the characteristics and the stage of infection of patients with covid 19. This research method is based on a branch of artificial intelligence, machine learning; the idea is to use artificial intelligence techniques to analyze and predict new coronavirus cases, using classification models, decision trees, and the Bernoulli model. The case study was used to input a real-time database with a systematic record of covid-19 from 2020 to the present. Accordingly, the data and properties for implementing the model and training were defined to make the corresponding predictions of new cases of covid 19. Finally, as a final result, predictions of the number of new cases and total deaths of covid 19 in the World were made. Finally, this research aims to analyze the data on the spread of Covid-19 in the World to predict new cases and help society prevent new variants of Covid 19 by using artificial intelligence to provide various related solutions. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Predictive analytics to determine the Bitcoin price rise using machine learning techniques(Seventh Sense Research Group, 2022-03-01)As we know, today there have been several variations in the price of Bitcoin as it is not stable, that is to say, the price of Bitcoin rises and falls exaggeratedly as there are several factors that focus on the opening and closing price values of Bitcoin, also the highest and lowest Bitcoin price values reached in a day. Bitcoin price is determined by supply and demand. If user demand for this cryptocurrency is high, the price will increase and if it is very low, will go to. The price of Bitcoin has fluctuated considerably in recent years. This means that it is constantly changing and is in a stable range without major changes. In this paper, a machine learning method, also called Machine Learning, is proposed, which will allow us to automatically search and interpret relevant information from a large amount of data. Machine learning is the branch of artificial intelligence science that creates automated learning systems. In the case study, the Recurrent Neural Network (LSTM) algorithm will be used for the predictive analysis of Bitcoin value. Recurrent Neural Networks are network layers for analyzing time series and time-series data. An LSTM recurrent neural network aims to learn long-term dependencies; that is to say, learn the dependencies of future values of a sequence on previous values. The results of this research work showed that, by applying the Machine Learning technique and the LSTM algorithm, it was possible to predict the Bitcoin price increase. These results could benefit different companies or financial institutions in the investment of money with the help of Bitcoin. Companies such as Microsoft, Destinia, WordPress, among many others, already allow purchases with bitcoins, or other cryptocurrencies, on their websites.