most citedPersonalized Risk Scoring for Critical Care Patients using Mixtures of Gaussian Process Experts

12 citations · 29 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2017★ 3 cited

Individualized Risk Prognosis for Critical Care Patients: A Multi-task Gaussian Process Model

Ahmed M. Alaa, Jinsung Yoon, Scott Hu +1

We report the development and validation of a data-driven real-time risk score that provides timely assessments for the clinical acuity of ward patients based on their temporal lab…

cs.LG2017★ 11 cited

Learning from Clinical Judgments: Semi-Markov-Modulated Marked Hawkes Processes for Risk Prognosis

Ahmed M. Alaa, Scott Hu, Mihaela van der Schaar

Critically ill patients in regular wards are vulnerable to unanticipated adverse events which require prompt transfer to the intensive care unit (ICU). To allow for accurate progno…

cs.LG2016★ 2 cited

A Semi-Markov Switching Linear Gaussian Model for Censored Physiological Data

Ahmed M. Alaa, Jinsung Yoon, Scott Hu +1

Critically ill patients in regular wards are vulnerable to unanticipated clinical dete- rioration which requires timely transfer to the intensive care unit (ICU). To allow for risk…

cs.AI2016★ 1 cited

Personalized Risk Scoring for Critical Care Prognosis using Mixtures of Gaussian Processes

Ahmed M. Alaa, Jinsung Yoon, Scott Hu +1

Objective: In this paper, we develop a personalized real-time risk scoring algorithm that provides timely and granular assessments for the clinical acuity of ward patients based on…

cs.LG2016★ 12 cited

Personalized Risk Scoring for Critical Care Patients using Mixtures of Gaussian Process Experts

Ahmed M. Alaa, Jinsung Yoon, Scott Hu +1

We develop a personalized real time risk scoring algorithm that provides timely and granular assessments for the clinical acuity of ward patients based on their (temporal) lab test…