@kiranshaw 1 year ago
Bad handwriting can prove fatal if a handwritten prescription is misread by the chemist. Good to know that @Google is working on #AI #MachineLearning based solution to help identify medicines in difficult-to-read handwritten prescriptions. https://bit.ly/3veUOgC
@raphg 1 year ago
Our new website is finally live: https://www.chuv.ch/en/bdsc/ @CHUVLausanne @unil Content will be added as we grow, but it's a good start if you want to learn who we are and what we do. #datascience #Switzerland #Lausanne #personalized #medicine Come join us! #jobs
@EdwardTufte 2 years ago
A+ Imaginative cutting edge visualizations=content driven by real scientists (particle physics, astronomy, medical live data, acoustics, biophysics). And by Pixar, Rox Chast, xkcd. In video, note good layout, multiplicity, quantification #MachineLearning #dataviz #Datascience https://twitter.com/frankwilczek/status/1530027630031945749
@bigdataconf 2 years ago
#Machinelearning system flags remedies that might do more harm than good https://buff.ly/3oJ1X6q #Healthcare #technology #Artificialintelligence #Algorithms #Medicine #DataScience #DeepLearning #NLP #NoSQL #IoT #TensorFlow #Serverless #Kubernetes #R #Python #AutoML #DataBase
@ericjdaza 2 years ago
Thank you to the Digital Medicine Society (DiMe) for having me on! I'll be leading and moderating a conversation on ideas for how to cultivate two good statistical habits in digital health data science and analytics. (relevant tweets 🧵) #DigitalHealth #datascience #Statistics https://twitter.com/_DiMeSociety/status/1426221977656823816
@GwenAntell 4 years ago
Why is everyone in #medicine #ecology #paleontology etc having to play at #DataScience without proper training? And how is that hurting integrity and reproducibility? Good thread, based on a good article: https://medium.com/@darren_dahly/a-brief-history-of-medical-statistics-and-its-role-in-reproducibility-23e31082f024 https://twitter.com/betanalpha/status/1229098931566653442
@INM7_ISN 4 years ago
Eysenk's astonishing work on "cancer personality". If results are too good to be true, there is usually a good reason for this Highly relevant to current work on #MachineLearning in neuroimaging and Medicine. Real life is too complex for >>90% accuracy https://cosmosmagazine.com/society/is-this-one-of-the-worst-scientific-scandals-of-all-time
@SwissCognitive 4 years ago
“#MachineLearning is particularly good at identifying patterns, which is deeply relevant to assessing patient risk. Risk scores are useful for communicating patient state, which is valuable in making efficient care decisions.” http://ow.ly/bAfz30px9lg #Healthcare #Medicine #AI