The NASA Prognostic Model Package is a Python framework focused on defining and building models for prognostics (computation of remaining useful life) of engineering systems, and provides a set of prognostics models for select components developed within this framework, suitable for use in prognostics applications for these components.

The NASA Prognostic Python Packages is a Python framework focused on defining and building models and algorit for prognostics (computation of remaining useful life) of engineering systems, and provides a set of models and algorithms for select components developed within this framework, suitable for use in prognostic applications.

This is the official repository of the R package metamisc

Reproduce results from the paper "Development, validation and clinical usefulness of a prognostic model for relapse in relapsing-remitting multiple sclerosis. K. Chalkou et. al. Diagn Progn Res . 2021 Oct 27;5(1):17. doi: 10.1186/s41512-021-00106-6."

Sensitivity of mortality rates to the imputation of missing socioeconomic data: cohort study

Effect of socioeconomic status in mortality rates after brain injury: cohort study

Conceptual models of oceanic diurnal warm layer dynamics

NASA Turbofan Jet Engine Propagation modeling

Time-adjusted effect of socioeconomic status in mortality rates after brain injury: cohort study

Anomaly Detection in Time Series Data using Autoencoders approach.

Implant failure rates in a knee prosthesis sub-population of the Helios Klinikum Berlin-Buch hospitals

Prognóstico de sobrevida em cativeiro de Tityus bahiensis capturados em Americana/SP

Prognóstico de componentes hematológicos após ATQ bilateral simultânea em centro cirúrgico de referência

This repo contains the code used for the CARSS external validation project.

Consultorias em Estatística Médica e Epidemiologia Clínica. CNPJ:42.154.074/0001-22

Survival analysis of events attributed to PJI in patients that undergone TJA surgeries

Implementation of UD_ARULE CLI version within Python to process feature data (FD) nodes of a system/system-of-systems to predict key prognostic parameters such as RUL, PH, and SoH