output
20132025
most citedEstimating heterogeneous survival treatment effect in observational data using machine learning

78 citations

Showing 2018Show all

5 papers · 1 filter

cs.DC2018★ 4 cited

A Scalable Data Science Platform for Healthcare and Precision Medicine Research

Jacob McPadden, Thomas JS Durant, Dustin R Bunch +9

Objective: To (1) demonstrate the implementation of a data science platform built on open-source technology within a large, academic healthcare system and (2) describe two computat…

cs.DC2018★ 11 cited

TrialChain: A Blockchain-Based Platform to Validate Data Integrity in Large, Biomedical Research Studies

Hao Dai, H Patrick Young, Thomas JS Durant +5

The governance of data used for biomedical research and clinical trials is an important requirement for generating accurate results. To improve the visibility of data quality and a…

cs.AI2018★ 46 cited

A comparative study of artificial intelligence and human doctors for the purpose of triage and diagnosis

Salman Razzaki, Adam Baker, Yura Perov +10

Online symptom checkers have significant potential to improve patient care, however their reliability and accuracy remain variable. We hypothesised that an artificial intelligence…

q-bio.SC2018

Kinetics of Protein-DNA Interactions: First-Passage Analysis

Maria P. Kochugaeva, Alexey A. Shvets, Anatoly B. Kolomeisky

All living systems can function only far away from equilibrium, and for this reason chemical kinetic methods are critically important for uncovering the mechanisms of biological pr…

stat.OT2018★ 1 cited

Risk Factors Associated with Mortality in Game of Thrones: A Longitudinal Cohort Study

Suveen Angraal, Ambika Bhatnagar, Suraj Verma +3

Objective: To assess mortality, and identify the risk factors associated with mortality in Game of Thrones (GoT). Design and Setting: A longitudinal cohort study in the fictional k…