Qingqing Mao (Q Mao)

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 15

Top Topics

Machine Learning

Acute Respiratory Distress Syndrome

Arabidopsis Thaliana

Electronic Health Record

Top Venues

Diagnostics (Basel, Switzerland)

Journal of clinical medicine

JMIR public health and surveillance

This page only lists publications with an associated author ORCID identifier.

Publications

Robert P Adelson, Madalina Ciobanu, Anurag Garikipati, Natalie J Castell, Navan Preet Singh, Gina Barnes, Jodi Kim Rumph, Qingqing Mao, Henry S Roane, Anshu Vaish, Ritankar Das
Family-Centric Applied Behavior Analysis Facilitates Improved Treatment Utilization and Outcomes. Journal of clinical medicine 13 (8) (2024)
Robert P Adelson, Anurag Garikipati, Yunfan Zhou, Madalina Ciobanu, Ken Tawara, Gina Barnes, Navan Preet Singh, Qingqing Mao, Ritankar Das
Machine Learning Approach with Harmonized Multinational Datasets for Enhanced Prediction of Hypothyroidism in Patients with Type 2 Diabetes. Diagnostics (Basel, Switzerland) 14 (11) (2024)
Robert P Adelson, Madalina Ciobanu, Anurag Garikipati, Natalie J Castell, Navan Preet Singh, Gina Barnes, Jodi Kim Rumph, Qingqing Mao, Henry S Roane, Anshu Vaish, Ritankar Das
Family-Centric Applied Behavior Analysis Facilitates Improved Treatment Utilization and Outcomes. Journal of clinical medicine 13 (8) (2024)
Robert P Adelson, Anurag Garikipati, Yunfan Zhou, Madalina Ciobanu, Ken Tawara, Gina Barnes, Navan Preet Singh, Qingqing Mao, Ritankar Das
Machine Learning Approach with Harmonized Multinational Datasets for Enhanced Prediction of Hypothyroidism in Patients with Type 2 Diabetes. Diagnostics (Basel, Switzerland) 14 (11) (2024)
Robert P Adelson, Anurag Garikipati, Jenish Maharjan, Madalina Ciobanu, Gina Barnes, Navan Preet Singh, Frank A Dinenno, Qingqing Mao, Ritankar Das
Machine Learning Approach for Improved Longitudinal Prediction of Progression from Mild Cognitive Impairment to Alzheimer's Disease. Diagnostics (Basel, Switzerland) 14 (1) (2023)
R Thapa, A Garikipati, M Ciobanu, N P Singh, E Browning, J DeCurzio, G Barnes, F A Dinenno, Qingqing Mao, R Das
Machine Learning Differentiation of Autism Spectrum Sub-Classifications. Journal of autism and developmental disorders (2023)
Robert P Adelson, Anurag Garikipati, Jenish Maharjan, Madalina Ciobanu, Gina Barnes, Navan Preet Singh, Frank A Dinenno, Qingqing Mao, Ritankar Das
Machine Learning Approach for Improved Longitudinal Prediction of Progression from Mild Cognitive Impairment to Alzheimer's Disease. Diagnostics (Basel, Switzerland) 14 (1) (2023)
Robert P Adelson, Anurag Garikipati, Jenish Maharjan, Madalina Ciobanu, Gina Barnes, Navan Preet Singh, Frank A Dinenno, Qingqing Mao, Ritankar Das
Machine Learning Approach for Improved Longitudinal Prediction of Progression from Mild Cognitive Impairment to Alzheimer's Disease. Diagnostics (Basel, Switzerland) 14 (1) (2023)
Angier Allen, Zohora Iqbal, Abigail Green-Saxena, Myrna Hurtado, Jana L Hoffman, Qingqing Mao, Ritankar Das
Prediction of diabetic kidney disease with machine learning algorithms, upon the initial diagnosis of type 2 diabetes mellitus. BMJ open diabetes research & care 10 (1) (2022)
Amita Varma, Jenish Maharjan, Anurag Garikipati, Myrna Hurtado, Sepideh Shokouhi, Qingqing Mao
Early prediction of prostate cancer risk in younger men using polygenic risk scores and electronic health records. Cancer medicine (2022)
Rahul Thapa, Anurag Garikipati, Sepideh Shokouhi, Myrna Hurtado, Gina Barnes, Jana L Hoffman, Jacob Calvert, Lynne Katzmann, Qingqing Mao, Ritankar Das
Predicting Falls in Long-term Care Facilities: Machine Learning Study. JMIR aging 5 (2) (2022)
Carson Lam, Rahul Thapa, Jenish Maharjan, Keyvan Rahmani, Chak Foon Tso, Navan Preet Singh, Satish Casie Chetty, Qingqing Mao
Multitask Learning With Recurrent Neural Networks for Acute Respiratory Distress Syndrome Prediction Using Only Electronic Health Record Data: Model Development and Validation Study. JMIR medical informatics 10 (6) (2022)
Carson Lam, Chak Foon Tso, Abigail Green-Saxena, Emily Pellegrini, Zohora Iqbal, Daniel Evans, Jana L Hoffman, Jacob Calvert, Qingqing Mao, Ritankar Das
Semisupervised Deep Learning Techniques for Predicting Acute Respiratory Distress Syndrome From Time-Series Clinical Data: Model Development and Validation Study. JMIR formative research 5 (9) (2021)
Chak Foon Tso, Anurag Garikipati, Abigail Green-Saxena, Qingqing Mao, Ritankar Das
Correlation of Population SARS-CoV-2 Cycle Threshold Values to Local Disease Dynamics: Exploratory Observational Study. JMIR public health and surveillance 7 (6) (2021)
Mark Stewart, Carla Rodriguez-Watson, Adem Albrayak, Julius Asubonteng, Andrew Belli, Thomas Brown, Kelly Cho, Ritankar Das, Elizabeth Eldridge, Nicolle Gatto, Alice Gelman, Hanna Gerlovin, Stuart L Goldberg, Eric Hansen, Jonathan Hirsch, Yuk-Lam Ho, Andrew Ip, Monika A Izano, Jason Jones, Amy C Justice, Reyna J Klesh, Seth Kuranz, Carson Lam, Qingqing Mao, Samson J Mataraso, Robertino Mera, Daniel C Posner, Jeremy A Rassen, Anna Siefkas, Andrew Schrag, Georgia Tourassi, Andrew R Weckstein, Frank Wolf, Amar Bhat, Susan Winckler, Ellen V Sigal, Jeff Allen
COVID-19 Evidence Accelerator: A parallel analysis to describe the use of Hydroxychloroquine with or without Azithromycin among hospitalized COVID-19 patients. PloS one 16 (3) (2021)