Vasant Dhar
Vasant Dhar
Solon Barocas,Danah Boyd,Sorelle Friedler et al.
Solon Barocas et al.
Jeannette Bohg,Matei Ciocarlie,Javier Civera et al.
Jeannette Bohg et al.
Population-Level Prediction of Type 2 Diabetes From Claims Data and Analysis of Risk Factors [0.03%]
基于 claims 数据的大规模人群 2 型糖尿病预测及风险因素分析
Narges Razavian,Saul Blecker,Ann Marie Schmidt et al.
Narges Razavian et al.
We present a new approach to population health, in which data-driven predictive models are learned for outcomes such as type 2 diabetes. Our approach enables risk assessment from readily available electronic claims data on large populations...
Şeyda Ertekin,Cynthia Rudin
Şeyda Ertekin
We present a Bayesian method for building scoring systems, which are linear models with coefficients that have very few significant digits. Usually the construction of scoring systems involve manual effort-humans invent the full scoring sys...
Mining the Quantified Self: Personal Knowledge Discovery as a Challenge for Data Science [0.03%]
量化自我：个人知识发现对数据科学的挑战
Tom Fawcett
Tom Fawcett
The last several years have seen an explosion of interest in wearable computing, personal tracking devices, and the so-called quantified self (QS) movement. Quantified self involves ordinary people recording and analyzing numerous aspects o...
Understanding Emergency Department 72-Hour Revisits Among Medicaid Patients Using Electronic Healthcare Records [0.03%]
基于电子健康记录的医疗保险患者急诊72小时复诊分析
James Ryan,James Hendler,Kristin P Bennett
James Ryan
Electronic Healthcare Records (EHRs) have the potential to improve healthcare quality and to decrease costs by providing quality metrics, discovering actionable insights, and supporting decision-making to improve future outcomes. Within the...
Susan Gruber
Susan Gruber
The increasing availability of Big Data in healthcare encourages investigators to seek answers to big questions. However, nonparametric approaches to analyzing these data can suffer from the curse of dimensionality, and traditional parametr...
Mark Craven,C David Page
Mark Craven