@drmonalidesai 3 years ago
From a recent study -researchers created an ML framework to enable genomics insights on the binding of transcription factors, this may help speed up precision medicine & the development of novel treatments for diseases. #AI #MachineLearning #medtwitterAI https://www.psychologytoday.com/blog/the-future-brain/202101/new-ai-framework-may-accelerate-novel-therapeutics
@adaihueze 3 years ago
I built a heart disease binary classification model based on some common factors and causatives. The article can be found here => https://lnkd.in/d94wfrP #Health #medicine #MachineLearning #DataScience #WomenWhoCode #100DaysOfCode #CodeNewbies #womenintech #WomenInSTEM
@rmkubinec 4 years ago
My draft showing how to analyze the influence of non-medical factors on #covid19 is up on Andrew Gelman's blog! #rstats #epitwitter #datascience https://twitter.com/StatModeling/status/1245490653615853568
@bobehayes 5 years ago
#AI can predict when someone will die with unsettling accuracy https://www.livescience.com/65087-ai-premature-death-prediction.html For #deeplearning model, top factors included exposure to job-related hazards, air pollution, alcohol intake & use of certain medications. #artificialintelligence #MachineLearning #healthcare
@gp_pulipaka 7 years ago
Risk Factors for Suicides: A Meta-Analysis of 50 Years of #Research. #BigData #MachineLearning #DataScience #AI… https://twitter.com/i/web/status/805508480840908800