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Life Expectancy App

Simple Death Prediction (or Life Expectancy) Tools

Last week we discussed the Google ‘Medical Brain’ Team’s monumental advances in their AI technology in regard to predicting death. Their system appears to be one of the most – if not the most – advanced system to date given it’s staggering 95% prediction accuracy. However, this tech giant is not the only one playing […]

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Google may be more accurate at predicting when a patient is going to die than doctors and current hospital warning systems. Their ‘Medical Brain’ Team is masterfully helping Google break into the health-care sphere. They have begun training their AI system to assess the risk of death in hospital patients by reviewing 175,639 data points present in patient’s electronic medical records. Not only does their system assess current medical records (lab results, vital signs etc.) and dig up information about age, ethnicity, gender...it can also decipher and interpret buried away handwritten notes on charts or information scribbled away on PDFs. “In general, prior work has focused on a subset of features available in the EHR [Electronic Health Record], rather than on all data available in an EHR, which includes clinical free-text notes, as well as large amounts of structured and semi-structured data.” - Google’s team One major case study highlighting the (morbid) success of Google’s system involves a woman with metastatic breast cancer. 24 hours after her admission Google gave the woman a 19.9% chance of dying in the hospital, whereas the hospital’s augmented Early Warning Score estimated only a 9.3 chance. Less than two weeks later the woman passed away in the hospital. As a whole, Google has analyzed 216,221 hospitalizations and 114,003 patients - giving them over 46 billion data points from their electronic health records. While Google’s algorithm is not perfect, it appears to predict when you will die with up to 95% accuracy (as compared to roughly 85% accuracy from current hospital Early Warning Scores). Less grim than predicting death, Google’s AI can also forecast many other patient outcomes including how long people may stay in the hospital and their odds of readmission. The ability to possibly smooth out the process of entering data and improve how that data is used could cut down human error in medical care and greatly improve patient care. To read Google’s paper published in Nature, click here To read the in depth Bloomberg article on the subject, click here

Google’s AI Can Now Predict Death With 95% Accuracy

Google may be more accurate at predicting when a patient is going to die than doctors and current hospital warning systems. Their ‘Medical Brain’ Team is masterfully helping Google break into the health-care sphere. They have begun training their AI system to assess the risk of death in hospital patients by reviewing 175,639 data points […]

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Texting

Digital Resurrections and Advanced Grieving Technologies on the Horizon

The importance of remembering lost loved ones in a tangible way has always been a consistent part of the grieving process. Whether this involves looking through photos and emails, watching an old video or replaying their answering machine message, many people find solace in memorializing the deceased this way. However, the surge in digital technology […]

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infographic

What Happens to your Social Media accounts when you die? – Our 2018 update

A common topic discussed here on the Digital Beyond is people’s digital legacies…what we knowingly leave behind, and what we, well, unknowingly leave. With social media’s presence only growing in recent years it has become more commonplace to question what happens to your social media accounts when you die. While we covered this topic in […]

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facebook-tombstone

Do You Have Digital Liabilities?

By Daniel Tannenbaum The growth of the Internet has brought about a lot of new terms associated with digital and death. This includes things like memory giving, digital assets and digital legacy. One thing that is not commonly discussed is the role of digital liabilities. For instance, we all have a lot of regular standing orders, […]

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972,000

972,000 U.S. Facebook Users Will Die in 2016

In 2010 my friends Nathan Lustig and Jesse Davis (founders of Entrustet, which was later acquired by SecureSafe) used data from Facebook and the Centers for Disease Control to estimate the number of Facebook users who would pass away in 2010. They updated these numbers in January 2011 and Nathan updated them again in June […]

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