openheart.bmj

Risk prediction modelling of 30-day all-cause mortality following percutaneous coronary intervention in an Australian population: leveraging machine learning

Background Preprocedural risk prediction of 30-day all-cause mortality after percutaneous coronary intervention (PCI) aids in clinical decision-making and benchmarking hospital performance. This study ...
Open Heart

Artificial intelligence-based clustering to identify functional risk phenotypes in heart failure

Background Patients with heart failure (HF) frequently suffer from undetected declines in cardiorespiratory fitness (CRF), which significantly increases their risk of poor outcomes. However, current ...
Frontiers

Association between marital status and in-hospital mortality in patients with acute coronary syndrome: a multivariable logistic regression analysis

Based on the regression coefficients from the multivariable logistic regression model, a nomogram was developed using the “rms” package in R software. The nomogram translates the complex regression ...
jnis.bmj

Statistical principles in neurointervention part 2. Multivariable analysis: generalized linear models, modification, confounding, and mediation

Neurointervention is a highly specialized area of medicine and, as such, neurointerventional research studies are often more challenging to conduct, require large, multicenter efforts and longer study ...
Reuters

Exclusive: Meta's new AI team delivered first key models internally this month, CTO says

Meta Superintelligence Labs team was formed last year CTO says new models 'very good' Company had faced criticism over performance of Llama 4 model DAVOS, Switzerland, Jan 21 (Reuters) - Meta ...
Visual Studio Magazine

Quadratic Regression with SGD Training Using C#

Quadratic regression extends linear regression by adding squared terms and pairwise interaction terms, enabling the model to capture non-linear structure and predictor interactions. The article ...
ascopubs.org

Synoptic Multidisciplinary Team Meeting Workflows to Promote Guideline-Based Classification of Resectability in Pancreatic Cancer: A Multicenter Prospective Study

To address incomplete and inconsistent classification of pancreatic cancer resectability according to International Association of Pancreatology (IAP) anatomic, biologic, and conditional criteria. We ...
Hosted on MSN

Logistic regression power explained using one derivative

Understanding the derivative of the cost function is key to mastering logistic regression. Learn how gradient descent updates weights efficiently in machine learning. #MachineLearning ...
Scientific Research Publishing

Heart Disease Prediction: A Logistic Regression Approach ()

1 School of Computing and Data Science, Wentworth Institute of Technology, Boston, USA. 2 Department of Computer Science and Quantitative Methods, Austin Peay State University, Clarksville, USA. 3 ...
ahajournals.org

Abstract 4341365: Prediction of Aspiration Pneumonia After Cardiac Surgery Using Preoperative Oral Frailty: A Logistic Model

Background: Aspiration pneumonia is a serious complication after cardiac surgery, particularly among older patients. Preoperative oral frailty—decline in oral function including poor hygiene and ...
CNBC

OpenAI introduces safety models that other sites can use to classify harms

OpenAI announced two so-called open-weight reasoning models. Developers can use the models to classify a range of online safety harms based on their specific policy needs. OpenAI developed the models ...
Wired

Anthropic Will Use Claude Chats for Training Data. Here’s How to Opt Out

Anthropic is starting to train its models on new Claude chats. If you’re using the bot and don’t want your chats used as training data, here’s how to opt out. Anthropic is prepared to repurpose ...