Keyvan Rahmani

发表

Assessing the effects of data drift on the performance of machine learning models used in clinical sepsis prediction

Carson K. Lam, Peiling Tsou, C. Tso, 2022, medRxiv.

Multitask Learning With Recurrent Neural Networks for Acute Respiratory Distress Syndrome Prediction Using Only Electronic Health Record Data: Model Development and Validation Study

Carson K. Lam, Q. Mao, C. Tso, 2022, JMIR medical informatics.

Predicting ventilator-associated pneumonia with machine learning

J. Calvert, A. Green-Saxena, R. Das, 2020, Medicine.

An Analysis of Disparities in Access to Health Care in Iran: Evidence from Lorestan Province

Seyyed Meysam Mousavi, H. Seyedin, A. Nasiri, 2014, Global journal of health science.

New financial management system for Iran public health sector: A qualitative study

H. Seyedin, M. Salehi, M. Jafari, 2021, Journal of Education and Health Promotion.

Deep Learning with Diverse Objectives Improves ARDS Prediction

Ritankar Das, Carson K. Lam, Qingqing Mao, 2021 .

Early prediction of central line associated bloodstream infection (CLABSI) using machine learning.

J. Calvert, R. Das, Q. Mao, 2021, American journal of infection control.

Assessing the effects of data drift on the performance of machine learning models used in clinical sepsis prediction

Carson K. Lam, Peiling Tsou, C. Tso, 2022, Int. J. Medical Informatics.

Value-Based procurement for medical devices: A scoping review

S. Karimi, A. Raeisi, R. Rezayatmand, 2021, Medical journal of the Islamic Republic of Iran.

Assessing the effects of data drift on the performance of machine learning models used in clinical sepsis prediction

Carson K. Lam, Peiling Tsou, C. Tso, 2022, Int. J. Medical Informatics.

Multi-Task Learning with Recurrent Neural Networks for ARDS Prediction using only EHR Data: Model Development and Validation Study (Preprint)

Carson K. Lam, Q. Mao, C. Tso, 2022, JMIR Medical Informatics.