Explainable Artificial Intelligence in Genomic Sequence for Healthcare Systems Prediction

Awotunde, Joseph Bamidele; Adeniyi, Abidemi Emmanuel; Ajamu, Gbemisola Janet; Balogun, Ghaniyyat Bolanle; Taofeek-Ibrahim, Fatimoh Abidemi

doi:10.1007/978-3-030-97929-4_19

Cited by 6 publications

(2 citation statements)

References 116 publications

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“…The higher the inflation, the lesser the economic growth leading to poverty hike. Most of the researches showed a negative but significant influence of inflation on poverty alleviation (Awotunde & Bamidele, 2022). However, it is still unknown how much inflation impacted the poverty line and which approach is the most accurate for doing so.…”

Section: Literature Reviewmentioning

confidence: 99%

Effect of Foreign Direct Investment and Trade Openness on the Poverty Alleviation in Burundi – Sub African Country: ARDL (Co-integration) Approach

Ilyas

Banaras

Javaid

et al. 2023

Pak. J. Humanit. Soc. Sci

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International Trade and Foreign Direct Investment openness are crucial for economic growth and development. These are equally significant for developed and under-developed countries. The study’s major goal was to look at how foreign direct investment, inflation, GDP and trade openness affected the poverty alleviation in Sub-Saharan African Countries. A country where half of the population lives below the poverty. Annual data for the period 1990 to 2021 gathered from World Development Indicators database to investigate the long run & short run effects of the independent variables for the Sub-Saharan African countries by using Auto-regressive and Lag distributive (Co-integration) model. The findings revealed negative long run influence of foreign direct investment and GDP to poverty head count ratio. The shreds of Evidence also showed that FDI has not shown any distinctive effect on poverty in a shorter period. Moreover, GDP, trade openness and inflation are also effective in reducing poverty in short run. While inflation urges the investors to do more investment in production sector that reduces unemployment and poverty in the end. The study suggested the government officials, policymakers, and investors, to invest more in the poor countries. As FDI is crucial in creating jobs for the unemployed population that lead to the rise in income and living standard of the people. Moreover, the study suggested questioning some other factors causing poverty.

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Section: Literature Reviewmentioning

confidence: 99%

Effect of Foreign Direct Investment and Trade Openness on the Poverty Alleviation in Burundi – Sub African Country: ARDL (Co-integration) Approach

Ilyas

Banaras

Javaid

et al. 2023

Pak. J. Humanit. Soc. Sci

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“…Due to internal and structural changes in organs, both with and without cause, the medical industry is currently dealing with several issues [1]. Healthcare specialists determine the cause of alterations in tissue, organs, and functionalities of the patient at the initial stage [2]. Using standard diagnosis procedures for several diseases, including high blood pressure and temperature changes, various types of cancer, heart attack, genetic disease, chronic disease, and hereditary disease, among others, are becoming difficult to diagnose and predict [3].…”

Section: Introductionmentioning

confidence: 99%

An Enhanced Hyper-Parameter Optimization of a Convolutional Neural Network Model for Leukemia Cancer Diagnosis in a Smart Healthcare System

Awotunde

Imoize

Ayoade³

et al. 2022

Sensors

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Healthcare systems in recent times have witnessed timely diagnoses with a high level of accuracy. Internet of Medical Things (IoMT)-enabled deep learning (DL) models have been used to support medical diagnostics in real time, thus resolving the issue of late-stage diagnosis of various diseases and increasing performance accuracy. The current approach for the diagnosis of leukemia uses traditional procedures, and in most cases, fails in the initial period. Hence, several patients suffering from cancer have died prematurely due to the late discovery of cancerous cells in blood tissue. Therefore, this study proposes an IoMT-enabled convolutional neural network (CNN) model to detect malignant and benign cancer cells in the patient’s blood tissue. In particular, the hyper-parameter optimization through radial basis function and dynamic coordinate search (HORD) optimization algorithm was used to search for optimal values of CNN hyper-parameters. Utilizing the HORD algorithm significantly increased the effectiveness of finding the best solution for the CNN model by searching multidimensional hyper-parameters. This implies that the HORD method successfully found the values of hyper-parameters for precise leukemia features. Additionally, the HORD method increased the performance of the model by optimizing and searching for the best set of hyper-parameters for the CNN model. Leukemia datasets were used to evaluate the performance of the proposed model using standard performance indicators. The proposed model revealed significant classification accuracy compared to other state-of-the-art models.

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Explainable Machine Learning (XML) for Multimedia-Based Healthcare Systems: Opportunities, Challenges, Ethical and Future Prospects

Awotunde,

Imoize,

Adeniyi

et al. 2023

Explainable Machine Learning for Multimedia Based Healthcare Applications

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Explainable Artificial Intelligence in Genomic Sequence for Healthcare Systems Prediction

Cited by 6 publications

References 116 publications

Effect of Foreign Direct Investment and Trade Openness on the Poverty Alleviation in Burundi – Sub African Country: ARDL (Co-integration) Approach

Effect of Foreign Direct Investment and Trade Openness on the Poverty Alleviation in Burundi – Sub African Country: ARDL (Co-integration) Approach

An Enhanced Hyper-Parameter Optimization of a Convolutional Neural Network Model for Leukemia Cancer Diagnosis in a Smart Healthcare System

Explainable Machine Learning (XML) for Multimedia-Based Healthcare Systems: Opportunities, Challenges, Ethical and Future Prospects

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