Medical Technology

@arXiv_Daily 3 years ago

Unbox the Black-box for the Medical Explainable AI via Multi-modal and Multi-centre Data Fusion: A Mini-Review, Two Showcases and Beyond https://deepai.org/publication/unbox-the-black-box-for-the-medical-explainable-ai-via-multi-modal-and-multi-centre-data-fusion-a-mini-review-two-showcases-and-beyond by Guang Yang et al. #MachineLearning #NeuralNetwork

@DanielAKeane10 3 years ago

Data Mining in Healthcare - A Review An interesting scientific paper: https://www.sciencedirect.com/science/article/pii/S1877050915036066 #AI #DataScience #Analytics #Statistics #Linux #RStats #dataviz #Python #100DaysOfCode #WomenWhoCode #Tech #CyberSecurity #nodejs #healthcare #biology #medicine #business

@vedantacharya20 3 years ago

What happens when you combine a medical student who has spent hours doing chart review with a data scientist? A Natural Language Processing (#NLP) solution to automate the chart review process! #AI #DataScience #MachineLearning #HealthTech https://www.linkedin.com/pulse/v-labs-learnings-intersection-healthcare-data-science-kumaresan

@LuisMateusRocha 3 years ago

"In the future, our review process of #BigData research will include reviewers with such specific expertise." #duh Covid-19 studies based on flawed Surgisphere data force medical journals to review processes https://www.theguardian.com/world/2020/jun/12/covid-19-studies-based-on-flawed-surgisphere-data-force-medical-journals-to-review-processes?CMP=Share_AndroidApp_Tweet

@raamana_ 4 years ago

tips to review #MachineLearning papers, esp. in #medicine & #neuroscience: -ask for a flowchart from raw data to final metrics! -don't assume CV (like repeated holdout) and advanced metrics (AUC) are implemented correctly. If you don't follow it drunk, they're likely wrong!

@abcnews.go.com 5 years ago

Swedish regulator ends investigation of birth control app

@cor_marti 7 years ago

Challenges and Opportunities of Big Data in Health Care: A Systematic Review #BigData #digitalhealth #ehealth http://medinform.jmir.org/2016/4/e38/