2020 – Page 7 – Andrew Fairless, Ph.D.

What I Read: Reproducibility of Machine Learning in Health Care

By Andrew Fairless on December 1, 2020November 28, 2020

https://jamanetwork.com/journals/jama/fullarticle/2758612 Challenges to the Reproducibility of Machine Learning Models in Health CareAndrew L. Beam, PhD1,2; Arjun K. Manrai, PhD2,3; Marzyeh Ghassemi, PhD4,5 “In a lesson that is continuously learned, machineContinue readingWhat I Read: Reproducibility of Machine Learning in Health Care

What I Read: In the U.S., an Angioplasty Costs

By Andrew Fairless on December 1, 2020December 31, 2020

UpshotIn the U.S., an Angioplasty Costs $32,000. Elsewhere? Maybe $6,400.A study of international prices finds American patients pay much more across a wide array of common services.By Margot Sanger-KatzDec. 27,Continue readingWhat I Read: In the U.S., an Angioplasty Costs

What I Read: Hidden Computational Power in Neurons

By Andrew Fairless on November 30, 2020November 28, 2020

https://www.quantamagazine.org/neural-dendrites-reveal-their-computational-power-20200114/ Hidden Computational Power Found in the Arms of NeuronsJordana CepelewiczStaff WriterJanuary 14, 2020The dendritic arms of some human neurons can perform logic operations that once seemed to require wholeContinue readingWhat I Read: Hidden Computational Power in Neurons

What I Read: These Patients Are Hard to Treat

By Andrew Fairless on November 30, 2020December 31, 2020

These Patients Are Hard to TreatA study examined a popular approach that coordinated care for the most expensive patients, and found that the project did not reduce hospital admissions.By ReedContinue readingWhat I Read: These Patients Are Hard to Treat

What I Read: The Ultimate Guide to Model Retraining

By Andrew Fairless on November 29, 2020November 28, 2020

https://www.kdnuggets.com/2019/12/ultimate-guide-model-retraining.html The Ultimate Guide to Model RetrainingBy Luigi Patruno, Data Scientist and the founder of ML in Production. “…one of the most important things you can do before deploying aContinue readingWhat I Read: The Ultimate Guide to Model Retraining

What I Read: A.I. Comes to the Operating Room

By Andrew Fairless on November 29, 2020November 28, 2020

A.I. Comes to the Operating RoomImages made by lasers and read by computers can help speed up the diagnosis of brain tumors during surgery.By Denise GradyJan. 6, 2020 “Brain surgeonsContinue readingWhat I Read: A.I. Comes to the Operating Room

What I Watch: Bayes theorem

By Andrew Fairless on November 28, 2020November 28, 2020

Bayes theoremDec 22, 20193Blue1Brown “The goal is for you to come away from this video understanding one of the most important formulas in all of probability: Bayes theorem.”

What I Read: The Watch Is Smart

By Andrew Fairless on November 28, 2020November 28, 2020

UpshotThe New Health CareThe Watch Is Smart, but It Can’t Replace Your DoctorApple has been advertising its watch’s ability to detect atrial fibrillation. The reality doesn’t quite live up toContinue readingWhat I Read: The Watch Is Smart

What I Read: Medical device surveillance with electronic health records

By Andrew Fairless on November 28, 2020November 28, 2020

https://www.nature.com/articles/s41746-019-0168-z Alison Callahan, Jason A. Fries, Christopher Ré, James I. Huddleston III, Nicholas J. Giori, Scott Delp & Nigam H. Shahnpj Digital Medicine volume 2, Article number: 94 (2019) “OurContinue readingWhat I Read: Medical device surveillance with electronic health records

SHAP Tutorial

By Andrew Fairless on August 25, 2020August 23, 2020

Several months ago, I wrote a blog post for my company describing the importance of model interpretability in healthcare settings. Below is a tutorial on how to use the SHAPContinue readingSHAP Tutorial

Year: 2020