Nature

An interpretable hybrid predictive model of COVID-19 cases using autoregressive model and LSTM

The Coronavirus Disease 2019 (COVID-19) has had a profound impact on global health and economy, making it crucial to build accurate and interpretable data-driven predictive models for COVID-19 cases ...
TechRepublic

What are the different types of predictive modeling?

There are a few different types of predictive modeling. Find out what makes each unique and how you can use them in your data projects. Predictive modeling is a type of data mining that is used in a ...
Technology Networks

Predictive Modeling for Compound Prioritization

Explore predictive modeling for compound prioritization, including in silico screening, toxicology models, and lead selection ...
TechRepublic

What is predictive modeling?

In predictive modeling, future events are predicted based on statistical analysis. Read this guide to understand how predictive modeling works and how it can benefit your business. The rapid adoption ...
Nature

Predictive modeling of ambulatory outcomes after spinal cord injury using machine learning

To develop an accurate machine learning predictive model using predictor variables from the acute rehabilitation period to determine ambulatory status in spinal cord injury (SCI) one year post injury.
Science Daily

Individualized predictive model for multiple myeloma treatment

Researchers around the world share results from a novel model that can provide tailored predictions of how individual patients respond to different therapies. Multiple myeloma remains challenging to ...
MarketersMEDIA Newsroom

Outcome Prediction Models in Healthcare: RWD Predictive Analytics Guide Released

MEDDDICAL releases a guide for pharma data scientists and RWE Directors on building outcome prediction models with real-world ...
Inside Higher Ed

Report: Predictive Models May Have Bias Against Black and Hispanic Learners

Predictive models are used across the student life cycle in higher education, to gauge yield in admissions as well as retention and graduation initiatives, as campus leaders look to understand what ...
Medical Xpress

AI predictive models shown to be unreliable over time in clinical settings

Models built on machine learning in health care can be victims of their own success, according to researchers at the Icahn School of Medicine and the University of Michigan. Their study assessed the ...
ascopubs.org

Predictive Model of Objective Response to Nivolumab Monotherapy for Advanced Renal Cell Carcinoma by Machine Learning Using Genetic and Clinical Data: The SNiP-RCC Study

Development and Validation of an 18F-Fluorodeoxyglucose Positron Emission Tomography-Computed Tomography–Based Imaging Score to Predict 12-Week Life Expectancy in Advanced Chemorefractory Colorectal ...
ascopubs.org

Multimodal fully automated predictive model for therapeutic efficacy of first-line cancer immunotherapy based on clinical information and imaging modalities including brain MRI ...

A machine learning algorithm based on multi-omics biomarkers for the detection of tumor microsatellite instability. This is an ASCO Meeting Abstract from the 2024 ASCO Annual Meeting I. This abstract ...