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Importance Chest radiography is the most common diagnostic imaging test in medicine and may also provide information about longevity and prognosis.

Objective To develop and test a convolutional neural network (CNN) (named CXR-risk) to predict long-term mortality, including noncancer death, from...

Do you love data science 3000? Don't want to be embarrassed in front of the other analytics wizards? Aspire to be one of Earth's mightiest heroes, like Kevin Bacon? Help make data science a snap with these simple insights.

Africa is data-rich and well connected. Therein lies the solution to many of its challenges.

Lack of gender diversity in the Artificial Intelligence (AI) workforce is raising growing concerns, but the evidence base about this problem has until now been based on statistics about the workforce of large technology companies or submissions to a small number of prestigious conferences. We build...

Lack of gender diversity in the Artificial Intelligence (AI) workforce is raising growing concerns, but the evidence base about this problem has until now been based on statistics about the workforce of large technology companies or submissions to a small number of prestigious conferences. We build...

Our new white paper, “Why Digital Channel Marketing Benefits Traditional Media Buyers,” explores: 

Reasons why digital platforms offer marketers value.
Why Facebook and Google dominate the current digital market.
What the future looks like regarding market share among the major players and…


Machine Learning can be pretty complicated. Fortunately, we can always bring some entertaining aspects to counteract the mountain of linear algebra. I'm a fan of Machine Learning, which is why I'm all about [@FunMachineLearn on Twitter](https://twitter.com/FunMachineLearn). It's also why I…

Adversarial evaluation stress-tests a model’s understanding of natural language. Because past approaches expose superficial patterns, the resulting adversarial examples are limited in complexity and diversity. We propose human- in-the-loop adversarial generation, where human authors are guided to...

Objectives

Access to safe and nutritious food is essential for good health. However, food can become unsafe due to contamination with pathogens, chemicals or toxins, or mislabeling of allergens. Illness resulting from the consumption of unsafe foods is a global health problem. Here, we develop a...

Importance Despite advances in the assessment of technical skills in surgery, a clear understanding of the composites of technical expertise is lacking. Surgical simulation allows for the quantitation of psychomotor skills, generating data sets that can be analyzed using machine learning algorithms...

Neural processing of language is still among the most poorly understood functions of the human brain, whereas a need to objectively assess the neurocongitve status of the language function in a participant-friendly and noninvasive fashion arises in various situations. Here, we propose a solution for...

The biggest mistake you can make while learning Python for data science is to learn Python programming from courses meant for programmers. Avoid this mistake, and learn Python the right way by following this approach.

Researchers hope the system can zero in on the right patients to enroll in clinical trials, to speed discovery of drug treatments.

Model replaces the laborious process of annotating massive patient datasets by hand.

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This article will explain how to use XGBoost and Random Forest with Bayesian Optimisation, and will discuss the main pros and cons of these methods.

New system could free bench chemists from time-consuming tasks, may help inspire new molecules.

AI is in danger of becoming too male – new research