Fierce Healthcare

Not enough hospitals are testing their predictive AI models for accuracy, bias, study finds

Many U.S. hospitals using predictive models are not evaluating their tools internally for accuracy, and fewer still are evaluating them for potential biases, according to a study published in the most ...
Semiconductor Engineering

AI Predictive Modeling Tools Move Into Critical Role To Leverage AI, ML

The semiconductor industry, as always, is at the forefront of transformational technological innovation, driving escalating complexity of manufacturing processes that extend time-to-market delivery, ...
ascopubs.org

Machine-learning (ML) model predictive for chemotherapy toxicity and termination in a real-world community oncology practice.

Dynamic prediction of cancer-associated thrombosis to guide prophylactic anticoagulation. Age distribution of metastatic cancer patients and chemotherapy discontinuation rates.
ascopubs.org

‘ALERT’, a machine learning predictive model to identify six-month mortality in patients with advanced cancer: Perception of the utility and acceptability among patients.

Immunotherapy at the end of life. This is an ASCO Meeting Abstract from the 2024 ASCO Quality Care Symposium. This abstract does not include a full text component.
usace.army.mil

COMMODITIZING AI/ML MODELS

An approach through Agile development and model quality simulation. The concept-development and acquisition communities have long treated artificial intelligence and machine learning (AI/ML) as ...
The American Journal of Managed Care

Cost vs Accuracy: Choosing the Best ML Model for Vascular Calcification in CKD

Logistic regression is the most cost-effective model for medial vascular calcification classification, with a mean ICER of $278 using five low-cost features. Despite similar diagnostic accuracy, ...