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
R code for a two-cohort (HRS & ELSA) multi-state analysis of sensory impairment, frailty, and incident dementia
Implementation of the Operative Stress Score (OSS) for Health Services Research
IoT ambient sensors in a Frailty Toolkit for in-home frailty assessment for older adults
A modular machine learning pipeline for predicting frailty in older adults using routine laboratory tests and clinical measurements, with six classifiers and comprehensive evaluation.
A Raspberry Pi-based smart speaker powered by AWS Lex chatbot for self-report frailty criteria data collection.
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.
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