Code and machine learning models (FRIGHT and AFRAID) for predicting chronological age and lifespan from a 31-parameter murine frailty index. Schultz, Kane et al. (2020), Nature Communications.

The development version of the frailtyEM R package, that fits several types of shared frailty models

R code for the discovery of COVID-19 subgroups by symptoms and comorbidities.

Measuring and visualizing biomedical data variability/heterogeneity across data sources

Descriptive analysis of admissions to NHS acute trusts by frailty and comorbidity scores.

Frailty classification using machine learning on behavioural and physical health data

Implementation of the Operative Stress Score (OSS) for Health Services Research

Web application for predicting biological age and lifespan in mice from frailty assessments using the FRIGHT and AFRAID models. Companion tool to Schultz, Kane et al. (2020),

Aging

R package

IoT ambient sensors in a Frailty Toolkit for in-home frailty assessment for older adults

Open Frailty Index: Rockwood methodology applied to EMR data

Este trabalho propõe uma abordagem integrada para a otimização de carteiras de investimentos, considerando simultaneamente três critérios fundamentais: retorno esperado, risco associado e custo operacional decorrente do rebalanceamento da carteira.

A Raspberry Pi-based smart speaker powered by AWS Lex chatbot for self-report frailty criteria data collection.