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 ...
IEEE

Pet Industry Analysis Based on Multiple Linear Regression and ARIMA Models

This paper systematically analyzes the market dynamics of the pet industry in China and globally based on multiple linear regression and ARIMA models. First, for the Chinese market, this paper ...
IEEE

Comparative Analysis of Classification-Based and Regression-Based Predictive Process Monitoring Models for Accurate and Time-Efficient Remaining Time Prediction

Abstract: Predictive Process Monitoring (PPM) techniques leverage incomplete execution traces and historical event logs to predict outcomes, activities, and remaining time in ongoing processes.
Scientific Research Publishing

Hafemeister, C. and Satija, R. (2019) Normalization and Variance Stabilization of Single-Cell RNA-Seq Data Using Regularized Negative Binomial Regression. Genome Biology, 20 ...

ABSTRACT: Spatial transcriptomics is undergoing rapid advancements and iterations. It is a beneficial tool to significantly enhance our understanding of tissue organization and relationships between ...