Q. Mao

发表

Multicentre validation of a sepsis prediction algorithm using only vital sign data in the emergency department, general ward and ICU

Uli K. Chettipally, Grant S. Fletcher, L. Shieh, 2018, BMJ Open.

Correlation of Population SARS-CoV-2 Cycle Threshold Values to Local Disease Dynamics: Exploratory Observational Study

A. Green-Saxena, R. Das, Q. Mao, 2021, JMIR public health and surveillance.

Pediatric Severe Sepsis Prediction Using Machine Learning

Thomas Desautels, J. Calvert, C. Barton, 2017, bioRxiv.

An exploratory study on the correlation of population SARS-CoV-2 cycle threshold values to local disease dynamics

A. Green-Saxena, R. Das, Q. Mao, 2021, medRxiv.

Personalized stratification of hospitalization risk amidst COVID-19: A machine learning approach

Carson K. Lam, J. Calvert, E. Pellegrini, 2021, Health Policy and Technology.

Early prediction of prostate cancer risk in younger men using polygenic risk scores and electronic health records

Q. Mao, A. Garikipati, A. Varma, 2022, Cancer medicine.

Predicting pulmonary embolism among hospitalized patients with machine learning algorithms

J. Calvert, R. Das, Q. Mao, 2021, Pulmonary circulation.

Massive external validation of a machine learning algorithm to predict pulmonary embolism in hospitalized patients.

J. Calvert, Q. Mao, Jenish Maharjan, 2022, Thrombosis research.

Machine learning early prediction of respiratory syncytial virus in pediatric hospitalized patients

Carson K. Lam, J. Calvert, Q. Mao, 2022, Frontiers in Pediatrics.

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.

Multicenter validation of a sepsis prediction algorithm using only vital sign data in the emergency department, general ward and ICU

Uli K. Chettipally, Grant S. Fletcher, L. Shieh, 2018, bioRxiv.

Machine Learning as a Precision-Medicine Approach to Prescribing COVID-19 Pharmacotherapy with Remdesivir or Corticosteroids

Carson K. Lam, J. Vincent, J. Calvert, 2021, Clinical Therapeutics.

Machine learning to predict progression of non‐alcoholic fatty liver to non‐alcoholic steatohepatitis or fibrosis

J. Calvert, A. Green-Saxena, R. Das, 2022, JGH open : an open access journal of gastroenterology and hepatology.

Application of deep learning to identify COVID-19 infection in posteroanterior chest X-rays

J. Calvert, E. Pellegrini, A. Green-Saxena, 2021, Clinical Imaging.

A Digital Twins Machine Learning Model for Forecasting Disease Progression in Stroke Patients

Ritankar Das, Qingqing Mao, Jacob Calvert, 2021, Applied Sciences.

Predicting ventilator-associated pneumonia with machine learning

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

Early prediction of severe acute pancreatitis using machine learning.

R. Das, Q. Mao, J. Hoffman, 2021, Pancreatology : official journal of the International Association of Pancreatology (IAP) ... [et al.].

A Machine Learning Approach for Predicting Early Phase Postoperative Hypertension in Carotid Endarterectomy Patients.

Q. Mao, Jinyun Tan, W. Shi, 2020, Annals of vascular surgery.

Prediction of diabetic kidney disease with machine learning algorithms, upon the initial diagnosis of type 2 diabetes mellitus

A. Allen, A. Green-Saxena, R. Das, 2022, BMJ Open Diabetes Research & Care.

Retrospective validation of a machine learning clinical decision support tool for myocardial infarction risk stratification

Carson K. Lam, J. Calvert, E. Pellegrini, 2021, Healthcare technology letters.

Using Machine Learning as a Precision Medicine Approach for Remdesivir and Corticosteroids as COVID-19 Pharmacotherapies

Carson K. Lam, J. Vincent, J. Calvert, 2021, Clinical Therapeutics.

A machine learning approach to predicting risk of myelodysplastic syndrome.

R. Das, Q. Mao, J. Hoffman, 2021, Leukemia research.

Machine learning determination of applied behavioral analysis treatment plan type

Madalina G. Ciobanu, R. Das, Q. Mao, 2023, Brain Informatics.

Clinical Outcomes of a Hybrid Model Approach to Applied Behavioral Analysis Treatment

Madalina G. Ciobanu, R. Das, Q. Mao, 2023, Cureus.

Prediction of short-term mortality in acute heart failure patients using minimal electronic health record data

Jacob S. Calvert, Ritankar Das, Anurag Garikipati, 2021, BioData Min..

High-performance detection and early prediction of septic shock for alcohol-use disorder patients

Hamid Mohamadlou, Uli K. Chettipally, Ritankar Das, 2016, Annals of medicine and surgery.

Using electronic health record collected clinical variables to predict medical intensive care unit mortality

Hamid Mohamadlou, Uli K. Chettipally, Ritankar Das, 2016, Annals of medicine and surgery.

Using Transfer Learning for Improved Mortality Prediction in a Data-Scarce Hospital Setting

Yaniv Kerem, Ritankar Das, Grant Fletcher, 2017, Biomedical informatics insights.

Enriching the Study Population for Ischemic Stroke Therapeutic Trials Using a Machine Learning Algorithm

S. Shokouhi, J. Calvert, A. Green-Saxena, 2022, Frontiers in Neurology.

Deep Learning with Diverse Objectives Improves ARDS Prediction

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

Semisupervised Deep Learning Techniques for Predicting Acute Respiratory Distress Syndrome From Time-Series Clinical Data: Model Development and Validation Study

Carson K. Lam, J. Calvert, E. Pellegrini, 2021, JMIR Formative Research.

Predicting Falls in Long-term Care Facilities: Machine Learning Study

J. Calvert, R. Das, Q. Mao, 2022, JMIR aging.

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

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

COVID-19 Evidence Accelerator: A parallel analysis to describe the use of Hydroxychloroquine with or without Azithromycin among hospitalized COVID-19 patients

Carson K. Lam, G. Tourassi, J. Rassen, 2021, PloS one.

Predicting Falls in Long-term Care Facilities: Machine Learning Study

S. Shokouhi, J. Calvert, R. Das, 2021, JMIR aging.

A comparative analysis of machine learning approaches to predict C. difficile infection in hospitalized patients.

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

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.

Machine Learning Approach with Harmonized Multinational Datasets for Enhanced Prediction of Hypothyroidism in Patients with Type 2 Diabetes

Robert P. Adelson, R. Das, Q. Mao, 2024, Diagnostics.

Family-Centric Applied Behavior Analysis Facilitates Improved Treatment Utilization and Outcomes

Robert P. Adelson, R. Das, Q. Mao, 2024, Journal of clinical medicine.