A theoretical decision model to help inform advance directive discussions for patients with COPD. - Negin Hajizadeh; Kristina Crothers; R. Scott Braithwaite (BMC Medical Informatics Decis. Mak., 2010)

An Electronic Phenotyping Algorithm for Automated Cohorting of Patients with Severe Acute Respiratory Distress Syndrome. - Abhinav Agrawal; Molly Stewart; Jamie S. Hirsch; John Chelico; Shameer Khader; Negin Hajizadeh (AMIA, 2018)

Discovering Drivers of Mortality in Severe Acute Respiratory Distress Syndrome: An Investigation using Machine Intelligence Methods. - Shameer Khader; Imroze Shaheen; Molly Stewart; Yalini Senathirajah; Jamie S. Hirsch; John Chelico; Negin Hajizadeh (AMIA, 2018)

Drivers of mortality in COVID ARDS depend on patient sub-type. - Helen Cheyne; Amir Gandomi; Shahrzad Hosseini Vajargah; Victoria M. Catterson; Travis Mackoy; Lauren McCullagh; Gabriel Musso; Negin Hajizadeh (Comput. Biol. Medicine, 2023)

ARDSFlag: an NLP/machine learning algorithm to visualize and detect high-probability ARDS admissions independent of provider recognition and billing codes. - Amir Gandomi; Phil Wu; Daniel R. Clement; Jinyan Xing; Rachel Aviv; Matthew Federbush; Zhiyong Yuan; Yajun Jing; Guangyao Wei; Negin Hajizadeh (BMC Medical Informatics Decis. Mak., 2024)