IEEE

Machine Learning–Based Hypertension Risk Stratification Using Logistic Regression and XGBoost

Abstract: Hypertension is a critical global health concern, necessitating accurate prediction models and effective prescription decisions to mitigate its risks. This study proposes a hybrid machine ...
Frontiers

A clinical prediction model for delirium tremens: development and validation in alcohol-dependent patients using multivariable logistic regression

Delirium tremens (DT) is a severe complication of alcohol withdrawal. This study aimed to develop and validate a prediction model for DT risk in hospitalized patients with alcohol dependence, using ...
IEEE

Prediction of Campus Placement Using Hybrid Logistic Regression Model

Abstract: Higher education decision-making is greatly improved by machine learning (ML), especially when it comes to forecasting student placements that affect career prospects or an institution's ...
GitHub

lastmile-ai/mcp-agent

mcp-agent's vision is that MCP is all you need to build agents, and that simple patterns are more robust than complex architectures for shipping high-quality agents.
Frontiers

Calm after the storm? Clinical phenotypes and risk markers in suicidal patients: data from a liaison-consultation psychiatric setting

Suicidality represents an increasing public health matter and is more frequently associated with higher psychiatric vulnerability and with greater severity of psychopathological manifestations.