@TysonLester 1 year ago
Via @HealthTechMag: "Healthcare Systems Need to Make #Cybersecurity a Top Priority." https://healthtechmagazine.net/article/2021/11/why-healthcare-systems-need-make-cybersecurity-top-priority "The average hospital room contains 15 to 20 connected medical devices." #PHI and sensitive patient data are of significant importance. #HIPAA #AI #MachineLearning #IoT
@CatherineAdenle 2 years ago
More?‍- The Need for Data Science in Healthcare Industry http://www.primeclasses.in/blog/?p=2143 #data #DataScience #datasets #health #imaging #ClinicalTrial #pharma #Genomics #medicine #HealthTech #predictive #Analytics
@walterfwiggins 2 years ago
Healthcare #DataScience is a team sport. You need medical expertise to really understand the data. And not just any doctor will do. You need someone who really understands the specific type of data you’re working with. And you need DS expertise. Working side by side. https://twitter.com/hoalycu/status/1507770891786096643
@TysonLester 2 years ago
Via @HealthTechMag: "Healthcare Systems Need to Make #Cybersecurity a Top Priority." https://healthtechmagazine.net/article/2021/11/why-healthcare-systems-need-make-cybersecurity-top-priority "The average hospital room contains 15 to 20 connected medical devices." #PHI & sensitive patient data are of paramount importance. #HIPAA #AI #MachineLearning #IoT
@freddytn 2 years ago
Downside of #MachineLearning in #HealthCare How hidden biases in med data could compromise #ArtificialIntelligence approaches Need to improve quality of data but data collection not incentivized rewarded #health #medicine #AI @MIT_CSAIL @MIT_IMES @MIT_SCC https://news.mit.edu/2022/marzyeh-ghassemi-explores-downside-machine-learning-health-care-0201
@nasmoutiphd 4 years ago
Google developed Coral: a portable neural network accelerator. It will make it possible to use models locally without the need for cloud. Sending data to the cloud is a security risk for sensitive data (eg medical records). #MachineLearning #DataScience https://www.theverge.com/platform/amp/2020/1/14/21065141/google-coral-ai-edge-computing-products-applications-cloud?fbclid=IwAR1xGpoS5u-6qqSKDTBCztUlz5Os8KbFVg3aVTdHEXM1nQmEzvkvubv5BmU
@realscientists 4 years ago
Can #BigData eliminate the need of Placebo in near future ? “We are at a tipping point with the ability to systematically collect patient level data in the real world,” says David Harland, medical head of personalised healthcare at @_RocheUK https://www.wired.co.uk/article/end-of-placebo-trials
@BoozAllen 6 years ago
#Bigdata is talking. We need to listen. We're transforming precision medicine w/ the power of data. Read more … https://twitter.com/i/web/status/861976819469344769
@DanGraur 8 years ago
The meager medical returns from #BigData indicate that we need more science, not more data. http://www.livescience.com/54489-designer-medicine-needs-more-than-big-data-it-needs-new-science.html
@jose_garde 8 years ago
Big data has not revolutionised medicine – we need big theory alongside it - http://klou.tt/6y7xylth39d7 #bigData
@BernardMarr 9 years ago
Why We Need More Big Data Doctors | LinkedIn http://ow.ly/D9pxK #BigData #Medicine