Introduction Armed conflict severely impacts health, with indirect deaths often exceeding direct casualties two to four times ...
Background The likelihood of HIV acquisition is increased following forced vaginal sex. This relates in part to ...
Impact of abdominal obesity on frailty development: A web-based survey using a smartphone health app
An Osaka Metropolitan University researcher examined whether abdominal obesity predicts frailty progression in 2,962 ...
Objective We evaluated the long-term association between the COVID-19 pandemic and the language development of children aged ...
Discover what ex-post means in finance, how it is calculated, and how it differs from ex-ante. Use historical data to better ...
Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.
Abstract: Hidden Markov models (HMMs) for time-series data analysis are attracting wide interests in industries due to their ability to model the extensively existing dynamics and non-Gaussianities.
Objective To undertake a contemporary review of the impact of exercise based cardiac rehabilitation (ExCR) for patients with atrial fibrillation (AF). Data sources CENTRAL, MEDLINE, Embase, PsycINFO, ...
Learn about how predictive analytics works, the types, benefits, use cases, and top tools. Predictive analytics is a process that uses statistics and modeling techniques to make informed decisions and ...
Your browser does not support the audio element. Data is everything. In our increasingly digitalized world, the greatest currency is data. There was gold, then oil ...
When Donald Trump stormed into the White House in 2016, horrified Americans debated, almost endlessly, whether the shocking result was an expression of widespread racism (backlash to a Black president ...
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