Artificial Intelligence Can Predict Premature Death
Originally shared by Neuroscience News
Artificial Intelligence Can Predict Premature Death
Machine learning significantly improves the accuracy of predicting premature deaths, from all causes, in a middle-aged population compared with more traditional models.
They found this AI system was very accurate in its predictions and performed better than the current standard approach to prediction developed by human experts. The study is published by PLOS ONE in a special collections edition of “Machine Learning in Health and Biomedicine”.
The team used health data from just over half a million people aged between 40 and 69 recruited to the UK Biobank between 2006 and 2010 and followed up until 2016.
https://neurosciencenews.com/ai-death-prediction-10959/
Open Access Research:
“Prediction of premature all-cause mortality: A prospective general population cohort study comparing machine-learning and standard epidemiological approaches”
Stephen F. Weng, Luis Vaz, Nadeem Qureshi, Joe Kai.
Published: March 27, 2019 PLOS ONE
doi:10.1371/journal.pone.0214365
#neuroscience #AI #machinelearning #deeplearning #science
https://neurosciencenews.com/ai-death-prediction-10959/
Artificial Intelligence Can Predict Premature Death
Machine learning significantly improves the accuracy of predicting premature deaths, from all causes, in a middle-aged population compared with more traditional models.
They found this AI system was very accurate in its predictions and performed better than the current standard approach to prediction developed by human experts. The study is published by PLOS ONE in a special collections edition of “Machine Learning in Health and Biomedicine”.
The team used health data from just over half a million people aged between 40 and 69 recruited to the UK Biobank between 2006 and 2010 and followed up until 2016.
https://neurosciencenews.com/ai-death-prediction-10959/
Open Access Research:
“Prediction of premature all-cause mortality: A prospective general population cohort study comparing machine-learning and standard epidemiological approaches”
Stephen F. Weng, Luis Vaz, Nadeem Qureshi, Joe Kai.
Published: March 27, 2019 PLOS ONE
doi:10.1371/journal.pone.0214365
#neuroscience #AI #machinelearning #deeplearning #science
https://neurosciencenews.com/ai-death-prediction-10959/
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