scholarly journals Improved risk prediction of chemotherapy‐induced neutropenia—model development and validation with real‐world data

2021 ◽  
Author(s):  
Mikko S. Venäläinen ◽  
Eetu Heervä ◽  
Outi Hirvonen ◽  
Sohrab Saraei ◽  
Tomi Suomi ◽  
...  
Keyword(s):  
Risk Prediction ◽  
Real World ◽  
Model Development ◽  
Real World Data ◽  
World Data ◽  
Chemotherapy Induced Neutropenia ◽  
Development And Validation

scholarly journals Development and validation of a novel diagnostic model for assessing lung cancer metastasis in a Chinese population based on multicenter real-world data

2019 ◽  
Vol Volume 11 ◽  
pp. 9213-9223
Author(s):  
Yiyong Yao ◽  
Cunling Yan ◽  
Wei Zhang ◽  
San-Gang Wu ◽  
Jie Guan ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Real World ◽  
Chinese Population ◽  
Cancer Metastasis ◽  
Population Based ◽  
Diagnostic Model ◽  
Real World Data ◽  
World Data ◽  
Lung Cancer Metastasis ◽  
Development And Validation

scholarly journals An agent-based model of sign language persistence informed by real-world data

2020 ◽  
Vol 10 (2) ◽  
pp. 158-187
Author(s):  
Katie Mudd ◽  
Connie de Vos ◽  
Bart de Boer
Keyword(s):  
Sign Language ◽  
Real World ◽  
Cultural Transmission ◽  
Model Development ◽  
Agent Based Modeling ◽  
Real World Data ◽  
Sign Languages ◽  
Genetic Transmission ◽  
Agent Based ◽  
World Data

Abstract As evidence from sign languages is increasingly used to investigate the process of language emergence and evolution, it is important to understand the conditions that allow for sign languages to persist. We build on a mathematical model of sign language persistence (i.e. protection from loss) which takes into account the genetic transmission of deafness, the cultural transmission of sign language and marital patterns (Aoki & Feldman, 1991). We use agent-based modeling techniques and draw inspiration from the wealth of genetic and cultural data on the sign language Kata Kolok to move towards a less abstract model of sign language persistence. In a set of experiments we explore how sign language persistence is affected by language transmission types, the distribution of deaf alleles, population size and marital patterns. We highlight the value of using agent-based modeling for this type of research, which allows for the incorporation of real-world data into model development.

scholarly journals Bayesian Networks for Risk Prediction Using Real-World Data: A Tool for Precision Medicine

2019 ◽  
Vol 22 (4) ◽  
pp. 439-445 ◽  
Author(s):  
Paul Arora ◽  
Devon Boyne ◽  
Justin J. Slater ◽  
Alind Gupta ◽  
Darren R. Brenner ◽  
...  
Keyword(s):  
Bayesian Networks ◽  
Precision Medicine ◽  
Risk Prediction ◽  
Real World ◽  
Real World Data ◽  
World Data

Risk prediction model for long-term heart failure incidence after epirubicin chemotherapy for breast cancer – A real-world data-based, nationwide classification analysis

2019 ◽  
Vol 285 ◽  
pp. 47-52 ◽  
Author(s):  
György Fogarassy ◽  
Ágnes Vathy-Fogarassy ◽  
István Kenessey ◽  
Miklós Kásler ◽  
Tamás Forster
Keyword(s):  
Breast Cancer ◽  
Heart Failure ◽  
Prediction Model ◽  
Risk Prediction ◽  
Real World ◽  
Risk Prediction Model ◽  
Real World Data ◽  
Classification Analysis ◽  
World Data

A Framework for Using Real-World Data and Health Outcomes Modeling to Evaluate Machine Learning–Based Risk Prediction Models

2021 ◽  
Author(s):  
Patricia J. Rodriguez ◽  
David L. Veenstra ◽  
Patrick J. Heagerty ◽  
Christopher H. Goss ◽  
Kathleen J. Ramos ◽  
...  
Keyword(s):  
Machine Learning ◽  
Health Outcomes ◽  
Risk Prediction ◽  
Real World ◽  
Prediction Models ◽  
Real World Data ◽  
Risk Prediction Models ◽  
World Data

Abstract #946: Assessment of Acromegaly Patients with and Without Diabetes Treated with Lanreotide Depot: 2-Year Real World Data

2016 ◽  
Vol 22 ◽  
pp. 219
Author(s):  
Roberto Salvatori ◽  
Olga Gambetti ◽  
Whitney Woodmansee ◽  
David Cox ◽  
Beloo Mirakhur ◽  
...  
Keyword(s):  
Real World ◽  
Real World Data ◽  
World Data
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