Today’s Data Isn't Enough: Why Predictive Data Is Key To Marketing Success During The Holidays

For brands looking to implement predictive consumer intelligence into their marketing strategies for the holidays, there are ...
The Lancet

Development and validation of a machine-learning model to reduce futile procurements in donations after circulatory death in liver transplantation in the USA…

We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...
TheServerSide

DP-100 Practice Tests on Data Scientist Associate Exam Topics

These questions come from my Udemy training and the certificationexams.pro website, resources that have helped many students pass the DP-100 certification. These are not DP-100 exam dumps or ...
Nghe An

Statsmodels: Run R Linear Regression Right in Python

Explore the statsmodels library, a tool that allows data analysts to perform linear regression with familiar R syntax and get detailed results. The power of statsmodels in statistical analysis Python ...
IEEE

A WebApp Framework for the prediction of e-GFR value and CKD stage using Regression-based Machine Learning Algorithms

Abstract: Chronic Kidney Disease(CKD) refers to a slow descent in kidney function and has become a serious health concern. Early detection and proper treatment are essential as CKD remains ...
IEEE

Finite Sample Analysis of Distribution-Free Confidence Ellipsoids for Linear Regression

Abstract: The least squares (LS) estimate is the archetypical solution of linear regression problems. The asymptotic Gaussianity of the scaled LS error is often used ...
Ama-assn.org

How the CPT code set can help speed up value-based care adoption

The move toward value-based care involves “a reimagining of the traditional definition of health care delivery” with the aim of supporting better outcomes at lower costs, according to a report ...