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Facebook CEO Mark Zuckerberg praises Narendra Modi for connecting with masses via Facebook

To classify the objectionable content, the Menlo Park-based company will use artificial intelligence and it wants to start with the cases in 2017

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A museum will come up in Chanakyapuri to ceebrate Indian diaspora
India's Prime Minister Narendra Modi celebrating Indian diversity via museum. VOA

New York, Feb 17, 2017: As India conducts assembly elections in five states, Facebook CEO Mark Zuckerberg has applauded Prime Minister Narendra Modi’s style of working using the social networking platform to establish a meaningful dialogue between the people and the government.

Modi recently asked his ministers to share their meetings and information on Facebook so that they can receive direct feedback from citizens, the Facebook CEO wrote in a 5,700-worded post on its “Community Standard” Page.

Zuckerberg hailed the use of social media in election campaigning and gave the examples of countries like India, the US, Kenya and Indonesia where leaders were active on social platforms and connected well with the people.

“In recent campaigns around the world — from India and Indonesia across Europe to the United States — we’ve seen that the candidate with the largest and most engaged following on Facebook usually wins. Just as TV became the primary medium for civic communication in the 1960s, social media is becoming this in the 21st century,” he wrote.

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“We can help establish direct dialogue and accountability between people and our elected leaders,” Zuckerberg added.

He said the use of social platforms created an opportunity for people to connect with their representatives at all levels.

“In the last few months, we have already helped our community double the number of connections between people and our representatives by making it easier to connect with all our representatives in one click,” Zuckerberg noted.

At the same time, he said, Facebook wanted its users to define what is “objectionable”, eventually empowering them to decide how much nudity and violence they are comfortable seeing.

“The idea is to give everyone in the community options for how they would like to set the content policy for themselves,” Zuckerberg wrote.

“Where is your line on nudity? On violence? On graphic content? On profanity? What you decide will be your personal settings. We will periodically ask you these questions to increase participation and so you don’t need to dig around to find them,” he asked.

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The letter also noted that for those who do not make a decision, the policies decided by majority of people in their region would be enforced.

To classify the objectionable content, the Menlo Park-based company will use artificial intelligence and it wants to start with the cases in 2017. (IANS)

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AI Can Help To Identify if you Will Die Within a Year or Not

Study by researchers found that AI-based models can analyse ECG test results and pinpoint patients at higher risk of developing a potentially dangerous irregular heartbeat

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Researchers found that AI can examine ECG test results, to predict irregular heartbeat and the death risk. Pixabay

After looking at standard ECG tests, Artificial Intelligence also known as AI can help identify patients most likely to die of any medical cause within a year, claim researchers.

To reach this conclusion, researchers from Geisinger Health System in Pennsylvania analyzed the results of 1.77 million ECGs and other records from almost 400,000 patients.

The team used this data to compare machine learning-based models that either directly analyzed the raw ECG signals or relied on aggregated human-derived measures (standard ECG features typically recorded by a cardiologist) and commonly diagnosed disease patterns.

The neural network model that directly analyzed the ECG signals was found to be superior for predicting one-year risk of death. Surprisingly, the neural network was able to accurately predict risk of death even in patients deemed by a physician to have a normal ECG.

Three cardiologists separately reviewed the ECGs that had first been read as normal, and they were generally unable to recognize the risk patterns that the neural network detected, researchers said.

“This is the most important finding of this study. This could completely alter the way we interpret ECGs in the future,” said Brandon Fornwalt, chair of the Department of Imaging Science and Innovation at Geisinger in Danville, Pennsylvania.

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After looking at standard ECG tests, Artificial Intelligence also known as AI can help identify patients most likely to die of any medical cause within a year, claim researchers. Pixabay

Another study by the same group of researchers found that AI-based models can analyse ECG test results and pinpoint patients at higher risk of developing a potentially dangerous irregular heartbeat (arrhythmia).

The team used more than two million ECG results from more than three decades of archived medical records in Pennsylvania/New Jersey’s Geisinger Health System to train deep neural networks.

They found that Artificial intelligence can examine ECG test results, to predict irregular heartbeat and the death risk, according to the two preliminary studies to be presented at the American Heart Association’s Scientific Sessions 2019 in Philadelphia from November 16-18.
While the vast Geisinger database is a key strength of both studies, the findings should be tested at sites outside of Geisinger, the researchers noted.

“Incorporating these models into routine ECG analysis would be simple. However, developing appropriate care plans for patients based on computer predictions would be a bigger challenge,” said lead author Sushravya Raghunath.

Both studies are among the first to use AI to predict future events from an ECG rather than to detect current health problems.

“This is exciting and provides more evidence that we are on the verge of a revolution in medicine where computers will be working alongside physicians to improve patient care,” said Fornwalt.

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The neural network model that directly analyzed the ECG signals was found to be superior for predicting one-year risk of death as AI. Pixabay

Atrial fibrillation is associated with higher risk of stroke and heart attack.

Jennifer Hall, the American Heart Association Chief of the Institute for Precision Cardiovascular Medicine, said that deep learning is “terrific as another way for us in our field of cardiovascular medicine to be able to help patients and help those understand the risk of stroke.”

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“Having these techniques at our fingertips and having more precise techniques to uncover potential atrial fibrillation now or in the future, is absolutely tremendous,” Hall noted. (IANS)