Interpretable Machine Learning Model for Early Prediction of Mortality in Elderly Patients with Multiple Organ Dysfunction Syndrome (MODS): a Multicenter Retrospective Study and Cross Validation

no code implementations • 28 Jan 2020 • Xiaoli Liu, Pan Hu, Zhi Mao, Po-Chih Kuo, Peiyao Li, Chao Liu, Jie Hu, Deyu Li, Desen Cao, Roger G. Mark, Leo Anthony Celi, Zhengbo Zhang, Feihu Zhou

This study aims to develop an interpretable and generalizable model for early mortality prediction in elderly patients with MODS.

Interpretable Machine Learning Mortality Prediction +1

MIMIC-CXR-JPG, a large publicly available database of labeled chest radiographs

no code implementations • 21 Jan 2019 • Alistair E. W. Johnson, Tom J. Pollard, Nathaniel R. Greenbaum, Matthew P. Lungren, Chih-ying Deng, Yifan Peng, Zhiyong Lu, Roger G. Mark, Seth J. Berkowitz, Steven Horng

Chest radiography is an extremely powerful imaging modality, allowing for a detailed inspection of a patient's thorax, but requiring specialized training for proper interpretation.

False arrhythmia alarm reduction in the intensive care unit

no code implementations • 11 Sep 2017 • Andrea S. Li, Alistair E. W. Johnson, Roger G. Mark

Research has shown that false alarms constitute more than 80% of the alarms triggered in the intensive care unit (ICU).

Dynamic Time Warping Specificity

MIMIC-III, a freely accessible critical care database

2 code implementations • Nature 2016 • Alistair E.W. Johnson, Tom J. Pollard, Lu Shen, Li-wei H. Lehman, Mengling Feng, Mohammad Ghassemi, Benjamin Moody, Peter Szolovits, Leo Anthony Celi, Roger G. Mark

MIMIC-III (‘Medical Information Mart for Intensive Care’) is a large, single-center database comprising information relating to patients admitted to critical care units at a large tertiary care hospital.

Blood pressure estimation Data Integration +6