Employing data science, new research uncovers clues behind unexplainable infant death | Microsoft on the Issues

Employing data science, new research uncovers clues behind unexplainable infant death | Microsoft on the Issues

Imagine losing your child in their first year of life and having no idea what caused it. This is the heartbreaking reality for thousands of families each year who lose a child to Sudden Unexpected Infant Death (SUID). Despite decades-long efforts to prevent SUID, it remains the leading cause of death for children between one month and one year of age in developed nations. In the U.S. alone, 3,600 children die unexpectedly of SUID each year.

For years, researchers hypothesized that infants who died due to SUID in the earliest stages of the life differed from those dying of SUID later. Now, for the first time, we know, thanks to the single largest study ever undertaken on the subject, this is statistically the case.

Working in collaboration with world-class researchers at Seattle Children’s Research Institute and the University of Auckland, we analyzed the Center for Disease Control (CDC) data on every child born in the U.S. over a decade, including over 41 million births and 37,000 SUID deaths. We compared all possible groups by the age at the time of death to understand if these populations were different.

We hope our progress in piecing together the SUID puzzle ultimately saves lives, and gives parents and researchers hope for the future.

 

The rest of the post Employing data science, new research uncovers clues behind unexplainable infant death appeared first on Microsoft on the Issues.

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