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@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
@gilienv 2 years ago
Opening Session of the Asia-Pacific @APBioNetorg #BWF2022 #Student #Workshop on #Artificial #Intelligence driven #Bioinformatics. Starting today, we teach #Statistics & #machinelearning approaches on using existing data/information 2predict future outcomes Day1: #AI in #Medicine https://t.co/8O07ekm7lN
@Omkar_Raii 5 years ago
Increase in adoption of big data analytics for healthcare apps, such as cost-effective medication, insurance planning for population health, and diagnostic approaches will push global #bigdata analytics in healthcare market to reach $48.5 billion by 2025. https://www.medgadget.com/2018/08/global-big-data-analytics-in-healthcare-market-rising-with-19-cagr-by-2025-emerging-trends-application-and-challenges.html
@gigaom.com 9 years ago
As another flu season approaches, health tech will play an educational role