Remove topic cardiovascular-disease
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Predictive Health Data: A New Dataset in the Medical Domain

Defined.ai blog

Health data is an extremely personal topic for many individuals, and the laws and regulations reflect this sensitivity. Disease prediction and diagnosis models Health check-up data can be used to develop models that predict and diagnose diseases.

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Computer Vision and Deep Learning for Healthcare

PyImageSearch

It has enormous potential to be mined and analyzed to facilitate better and more personalized care, reduce medical errors, and enable earlier disease diagnoses. AI can also assist researchers in identifying genetic mutations that cause a particular disease and help predict the effects of treatments.

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Top 4 Recommendations for Building Amazing Training Datasets

Mlearning.ai

Overview In this article, we will cover the following topics: Dealing with missing data Handling categorical data Bringing features onto the same scale Handling outliers Dealing with missing data Identifying missing values is one of the most important steps in data pre-processing. Let us have a look at the cardiovascular disease dataset.

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Google Research, 2022 & beyond: Health

Google Research AI blog

Posted by Greg Corrado, Distinguished Scientist, and Yossi Matias, VP Engineering and Research, Google Research (This is Part 8 in our series of posts covering different topical areas of research at Google. You can find other posts in the series here.) These examples all use the sensors that already exist on every smartphone.

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