Stacked Ensemble Improvement of the Lower Respiratory Tract Infection Diagnoses in Peadiatric
Olasehinde Olayemi Oladimeji,
Olayemi Olufunke Catherine,
Adetunmbi Adebayo Olusola
Issue:
Volume 9, Issue 5, October 2020
Pages:
44-55
Received:
10 September 2020
Accepted:
5 October 2020
Published:
4 November 2020
Abstract: Lower Respiratory Tract Infections (LRTIs) are the second and third causes of pediatric patients' death in Nigeria and the United States of America. It is observed from several reviewed literature that the LRTIs accounted for more than a million children morbidity and mortality yearly due to lack of prompt diagnosis or no diagnosis due to a shortage of medical experts and medical facilities in our localities. Intense research is ongoing on applying machine learning (ML) to its clinical diagnosis and reducing its spread in pediatric patients. In this research, K-Nearest Neighbor (KNN), C4.5 Decision Tree, and Naive Bayes' ML algorithms were used to develop three base diagnosis models with Correlation, consistency, and information gain selected feature of the LRTI dataset, Multiple Model Trees (MMT) Meta algorithm is used to combine and improve the diagnoses of all the base models using stacked ensemble. The preliminary diagnosis findings using base models have established that the information gained feature extraction method performed much better than the other two. It, therefore, suffix that the results from this should be used for further processing. All the models built with the reduced feature set recorded improved diagnoses accuracy more than the model built with the whole feature set. The MMT stacked ensemble models recorded an improvement on the diagnosis of LRTIs in Peadiatric, it recorded the highest diagnostic accuracies improvement of 12.80%, 13.52%, and 12.37%, and lowest diagnostic accuracies improvement of 6.37%, 5.22%, and 6.09% with the MMT stacked ensemble models of the Consistency, the Correlation, and the information gain reduced selected feature set respectively. These experimental results show the potential for this approach to deliver a reliable and improved diagnosis of LRTIs. It is recommended to be used to diagnose LRTIs in primary health care centers to reduce its mortality rate.
Abstract: Lower Respiratory Tract Infections (LRTIs) are the second and third causes of pediatric patients' death in Nigeria and the United States of America. It is observed from several reviewed literature that the LRTIs accounted for more than a million children morbidity and mortality yearly due to lack of prompt diagnosis or no diagnosis due to a shortag...
Show More
Android Based Student Data Monitoring System
Prerana Deshmukh,
Sanskruti Gupta,
Ankita Modak,
Adarsh Jais,
Shraddha Rekhe,
Ankush Kure
Issue:
Volume 9, Issue 5, October 2020
Pages:
56-60
Received:
28 April 2020
Accepted:
28 May 2020
Published:
11 November 2020
Abstract: As of late, the Android Technology with web administrations has acquired numerous exceptional changes the versatile application advancement field. This application gives a summed up answer for screen the different works that are done by a College for overseeing it. The framework gives a straightforward interface to support of understudy data. It tends to be utilized by instructive foundations or colleges to keep up the records of students. The creation and the board of precise, state-of-the-art data with respect to a students' scholastic profession is fundamentally significant in the college just as colleges. Well-informed Connect manages all sort of understudy subtleties, scholarly related reports, college subtleties, course subtleties, educational program, batch subtleties, arrangement subtleties and other asset related subtleties as well. It will likewise have faculty subtleties, batch execution subtleties, students' subtleties in all viewpoints, the different scholastic notices to the staff and students refreshed by the college organization. It likewise encourages us investigate all the exercises occurring in the college. Various reports and inquiries can be created dependent on tremendous choices identified with students, batch, course, faculty, exams, semesters, and certification and in any event, for the whole college.
Abstract: As of late, the Android Technology with web administrations has acquired numerous exceptional changes the versatile application advancement field. This application gives a summed up answer for screen the different works that are done by a College for overseeing it. The framework gives a straightforward interface to support of understudy data. It te...
Show More
