Medical Technology

@UMCGlobalSafety 4 years ago

How do we reduce the risk to patients of mixing medicines? In this @TEDMED talk from 2016, @Rbaltman gives an interesting account of his experience using #BigData for signal detection. #polypharmacy #pharmacovigilance http://ow.ly/R9ie50xyyJY

@UMCGlobalSafety 4 years ago

How do we reduce the risk to patients of mixing medicines? In this @TEDMED talk from 2016, @Rbaltman gives an interesting account of his experience using #BigData for signal detection: http://ow.ly/R9ie50xyyJY #polypharmacy #pharmacovigilance https://t.co/wfhMuIJLpr

@KirkDBorne 5 years ago

Google is Using 46 Billion Data Points to Predict the Medical Outcomes of Hospital Patients: https://qz.com/1189730/google-is-using-46-billion-data-points-to-predict-the-medical-outcomes-of-hospital-patients/ #Healthcare #BigData #DataScience #AI #MachineLearning #DeepLearning #DataMining #HealthTech #EHR https://t.co/85UYuXlPI3

@FrRonconi 6 years ago

#Google is using 46 billion #data points to predict the #medical outcomes of hospital patients https://qz.com/1189730 via @qz #AI #MachineLearning #HealthTech #DigitalHealth #EHR #BigData #PatientEngagement HT @evankirstel @JohnNosta https://t.co/tEcRykikbo

@kimberlyanngeo 6 years ago

Google is using 46 billion data points to predict the medical outcomes of hospital patients @qz #bigdata #AI #health https://qz.com/1189730/google-is-using-46-billion-data-points-to-predict-the-medical-outcomes-of-hospital-patients/