ascopubs.org

Development of Machine Learning Algorithms Incorporating Electronic Health Record Data, Patient-Reported Outcomes, or Both to Predict Mortality for Outpatients With Cancer

shinyOPTIK, a User-Friendly R Shiny Application for Visualizing Cancer Risk Factors and Mortality Across the University of Kansas Cancer Center Catchment Area We trained and validated two-phase ML ...
ascopubs.org

Development of Machine Learning Algorithms for the Prediction of Financial Toxicity in Localized Breast Cancer Following Surgical Treatment

Financial burden caused by cancer treatment is associated with material loss, distress, and poorer outcomes. Financial resources exist to support patients but identification of need is difficult. We ...
Yahoo Finance

DefiQuant Announces Custom Algorithm Development for Personalized Trading Strategies

In a significant move to democratize the crypto trading landscape, DefiQuant, a leader in the cloud mining industry and provider of innovative trading solutions, has announced the launch of its Custom ...
Quanta Magazine

Researchers Achieve ‘Absurdly Fast’ Algorithm for Network Flow

A team of computer scientists has come up with a dramatically faster algorithm for one of the oldest problems in computer science: maximum flow. The problem asks how much material can flow through a ...