Remove 2014 Remove Data Collection Remove Measurement Remove Risk
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Big Data Joins The Fight Against Traumatic Brain Injuries

Smart Data Collective

The CDC reports that the incidents of admissions for these types of injuries rose around 54% between 2006 and 2014. Big data software is starting to reach neurosurgery departments in an effort to prevent brain injury complications during surgery and to better understand brain injuries.

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Optimizing clinical trial site performance: A focus on three AI capabilities

IBM Big Data Hub

In an ideal scenario, they would be able to, with relative and consistent accuracy, predict performance of clinical trial sites that are at risk of not meeting their recruitment expectations. A mitigation plan facilitates trial continuity by providing contingency measures and alternative strategies.

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Our quest for robust time series forecasting at scale

The Unofficial Google Data Science Blog

First, the system may not be understood, and even if it was understood it may be extremely difficult to measure the relationships that are assumed to govern its behavior. They can arise from data collection errors or other unlikely-to-repeat causes such as an outage somewhere on the Internet.

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Themes and Conferences per Pacoid, Episode 6

Domino Data Lab

Eric’s article describes an approach to process for data science teams in a stark contrast to the risk management practices of Agile process, such as timeboxing. As the article explains, data science is set apart from other business functions by two fundamental aspects: Relatively low costs for exploration.

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Explaining black-box models using attribute importance, PDPs, and LIME

Domino Data Lab

Joint training, for example, adds an additional “explanation task” to the original problem and trains the system to solve the two “jointly” (see Bahdanau, 2014). For this demo we’ll use the freely available Statlog (German Credit Data) Data Set, which can be downloaded from Kaggle. See Wei et al.

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