Predicting atrial fibrillation (AF) onset using machine learning algorithms in python

 

Demonstrate an understanding of the background and context of the project. Justify the approach you used. Describe the equipment and/or software tools
used. describe the main outcomes and place them in context.
Research attempting to identify people at risk for AF have focussed on finding features in the electrical signal of the heart (measured through an
electrocardiogram or ECG) that can predict the likelihood of an individual suffering from AF in the future. These works have low sensitivity, possibly due to
only paying attention to specific segments of the ECG, ignoring most of the data that is collected. This project will develop a machine learning algorithm to
predict AF onset using the entire ECG signal‘s features and compare its sensitivity to current state-of-the art prediction algorithms.

Sample Solution

dubiousness and equivocalness to the degree in which a complicated or new circumstance doesn’t actually show an issue of worry for them. The third and fourth aspects make sense of separately how daring people become open minded toward conceivable mistake or error in using the language and how they are leaned to practice another part quietly prior to endeavoring to utilize it out loud. Hongwei (1996) makes reference to that this practice issue, by the by, is additionally examined by other\g specialists who trust that earlier readiness prior to creating expressions might hamper risk taking. Without a doubt, mental readiness is supposed to be a detail of additional mindful understudies who on exceptional open doors invest such a lot of energy planning to talk that they choose not to face the challenge of talking before others.

Risk Taking ought to be a focal issue in unknown dialect advancing especially regarding talking works out. As shown by Beebe (1983) “you take a gamble each time you open your mouth in an unknown dialect, or so far as that is concerned in any learning circumstance where you are approached to perform without acknowledging it, even the most safe individual faces challenges”. (p.39)

One of the properties of a successful understudy is to face challenges. Understudies take gambles each time they pose inquiry, or answer to the Instructor. Experts like Ely (1984) and Samimy (1991) thought about Chance taking and considered Hazard Taking as one of the qualities of good understudies. Lover (1985) states that dynamic support of the understudies in plan of significance through data gives understudies critical result. Significant info is essential in outlining semantic expertise and critical result is imperative in molding syntactic ability. In this manner, Understudy quietness in homeroom is the issue of EFL Educators.

Anyway, researchers don’t all agree that shortfall of Chance Taking limit isn’t solely ex

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