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Towards artificial intelligence-based learning health system for population-level mortality prediction using electrocardiograms
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Sun, W., Kalmady, S.V., Sepehrvand, N., Salimi, A., Nademi, Y., Bainey, K., Ezekowitz, J.A., Greiner, R., Hindle, Abram, McAlister, F.A., Sandhu, R.K., Kaul, P.
The feasibility and value of linking electrocardiogram (ECG) data to longitudinal population-level administrative health data to facilitate the development of a learning healthcare system has not been fully explored. We developed ECG-based machine learning models to predict risk of mortality...
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2023
Bangash, A.A., Eng, K., Jamal, Q., Ali, K., Hindle, Abram
Smartphone application (app) developers measure the energy consumption of their apps to ensure that they do not consume excessive energy. However, existing techniques require developers to generate and execute test cases on expensive, sophisticated hardware. To address these challenges, we...
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2023
Islam, A., Hewage, N.T., Bangash, A.A., Hindle, Abram
Software testing helps developers minimize bugs and errors in their code, improving the overall software quality. In 2013, Kochhar et al. analyzed 20,817 software projects in order to study how prevalent the practice of software testing is in open-source projects. They found that projects with...
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An Empirical Study to Investigate Collaboration Among Developers in Open Source Software (OSS)
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Sun, W., Iwuchukwu, S., Bangash, A.A., Hindle, Abram
The value of teamwork is being recognized by project owners, resulting in an increased acknowledgement of collaboration among developers in software engineering. A good understanding of how developers work together could positively impact software development practices. In this paper, we...