Google Machine can answer when you will die: Latest development
New Delhi : While death is the ultimate truth of life and is quite unpredictable, Google claims that there is a program which can predict mortality. The American technology company says that it has designed a new deep learning model along with the support of its UC San Francisco, Stanford Medicine, and the University of Chicago Medicine colleagues. The model has successfully predicted the 'inpatient mortality' with an accuracy of 95 percent.
Recently, Google team has used a machine learning, which was previously applied to actions like traffic predictions, translations and likewise, for healthcare by a Google team. The preliminary predictions by the computer system came out to be surprisingly accurate, as they predicted if the patient will stay long in the hospital with an 86 percent accuracy and further unexpected readmissions with a 77 percent accuracy, marking 'statistical significance' in the area.
Besides prediction, the deep learning model has been used to recognise the patient's condition. Google has cited an example to explain this: "if a doctor prescribed ceftriaxone and doxycycline for a patient with an elevated temperature, fever and cough, the model could identify these as signals that the patient was being treated for pneumonia." In a blog, Google mentioned its program a "good listener" because of its capability to gather the patient's data including their ongoing treatments and notes.
Google’s new program aims to eliminate the discrepancies caused by different Electronic Health Records (EHR) found in individually customised EHR systems of hospitals. In real meaning, the patient data differs from one hospital to another. To solve this, the deep learning mechanism reads all the data points from the patient's EHRs and then decides which data can be used to predict the outcome. The program can also make out the specific data set which it used the make the prediction.
Google protected the data used for this surveillance with security measures including "logical separation, strict access controls, and encryption of data at rest and in transit".
For now, Google says that the idea is still in its early age and that the test simply explains how machine learning can be used to improve healthcare.
