Sarah Callaghan
Sarah Callaghan
The Discomfort of Death Counts: Mourning through the Distorted Lens of Reported COVID-19 Death Data [0.03%]
死亡人数带来的不适：通过扭曲的新冠死亡报告数据镜头来哀悼
Inioluwa Deborah Raji
Inioluwa Deborah Raji
In data science, there's long been an acknowledgment of the way data can flatten and dehumanize the people they represent. This limitation becomes most obvious when considering the pure inability of such numbers and figures to truly capture...
Hoora Rezaei Moghaddam,Sheela Ramanna
Hoora Rezaei Moghaddam
Construction of knowledge repositories from web corpora by harvesting linguistic patterns is of benefit for many natural language-processing applications that rely on question-answering schemes. These methods require minimal or no human int...
Transitive Sequencing Medical Records for Mining Predictive and Interpretable Temporal Representations [0.03%]
用于挖掘预测性和可解释性时间表示的病历传递排序
Hossein Estiri,Zachary H Strasser,Jeffery G Klann et al.
Hossein Estiri et al.
Electronic health records (EHRs) contain important temporal information about the progression of disease and treatment outcomes. This paper proposes a transitive sequencing approach for constructing temporal representations from EHR observa...
A Searchable Database of Crystallization Cocktails in the PDB: Analyzing the Chemical Condition Space [0.03%]
PDB中的结晶鸡尾酒的可搜索数据库：分析化学条件空间
Miranda L Lynch,Max F Dudek,Sarah E J Bowman
Miranda L Lynch
Nearly 90% of structural models in the Protein Data Bank (PDB), the central resource worldwide for three-dimensional structural information, are currently derived from macromolecular crystallography (MX). A major bottleneck in determining M...
Jared A Dunnmon,Alexander J Ratner,Khaled Saab et al.
Jared A Dunnmon et al.
A major bottleneck in developing clinically impactful machine learning models is a lack of labeled training data for model supervision. Thus, medical researchers increasingly turn to weaker, noisier sources of supervision, such as leveragin...
Deep Learning Identifies Digital Biomarkers for Self-Reported Parkinson's Disease [0.03%]
深度学习识别帕金森病的数字生物标志物
Hanrui Zhang,Kaiwen Deng,Hongyang Li et al.
Hanrui Zhang et al.
Large-scale population screening and in-home monitoring for patients with Parkinson's disease (PD) has so far been mainly carried out by traditional healthcare methods and systems. Development of mobile health may provide an independent, fu...
gfoRmula: An R Package for Estimating the Effects of Sustained Treatment Strategies via the Parametric g-formula [0.03%]
gfoRmula：一种通过参数化g公式估计持续治疗策略效果的R语言包
Sean McGrath,Victoria Lin,Zilu Zhang et al.
Sean McGrath et al.
Researchers are often interested in estimating the causal effects of sustained treatment strategies, i.e., of (hypothetical) interventions involving time-varying treatments. When using observational data, estimating those effects requires a...
Eric Perakslis
Eric Perakslis
The coronavirus outbreak is sweeping the globe with outbreaks reported on every continent except Antarctica as of March 2020. Data scientists are uniquely and diversely skilled in ways that can be highly effective in minimizing, combatting,...
Sarah Callaghan
Sarah Callaghan