Probabilistic spreading of recommendations in social networks. - Anahita Davoudi; Mainak Chatterjee (MILCOM, 2015)

Product rating prediction using centrality measures in social networks. - Anahita Davoudi; Mainak Chatterjee (Sarnoff Symposium, 2015)

Prediction of information diffusion in social networks using dynamic carrying capacity. - Anahita Davoudi; Mainak Chatterjee (IEEE BigData, 2016)

Product rating prediction using trust relationships in social networks. - Anahita Davoudi; Mainak Chatterjee (CCNC, 2016)

Detection of profile injection attacks in social recommender systems using outlier analysis. - Anahita Davoudi; Mainak Chatterjee (IEEE BigData, 2017)

Effects of User Interactions on Online Social Recommender Systems. - Anahita Davoudi (ICDE, 2017)

Social trust model for rating prediction in recommender systems: Effects of similarity, centrality, and social ties. - Anahita Davoudi; Mainak Chatterjee (Online Soc. Networks Media, 2018)

Towards Automatic Bot Detection in Twitter for Health-related Tasks. - Anahita Davoudi; Ari Z. Klein; Abeed Sarker; Graciela Gonzalez-Hernandez (CoRR, 2019)

A Preliminary Characterization of Canonicalized and Non-Canonicalized Section Headers Across Variable Clinical Note Types. - Junjie Wang; Shun Yu; Anahita Davoudi; Danielle L. Mowery (AMIA, 2020)

Annotation and extraction of age and temporally-related events from clinical histories. - Judy Hong; Anahita Davoudi; Shun Yu; Danielle L. Mowery (BMC Medical Informatics Decis. Mak., 2020)

Identifying Barriers to Post-Acute Care Referral and Characterizing Negative Patient Preferences Among Hospitalized Older Adults Using Natural Language Processing. - Erin E. Kennedy; Anahita Davoudi; Sy Hwang; Ryan J. Urbanowicz; Philip J. Freda; Kathryn H. Bowles; Danielle L. Mowery (AMIA, 2022)

Relation Detection to Identify Stroke Assertions from Clinical Notes Using Natural Language Processing. - Audrey Yang; Sam Kamien; Anahita Davoudi; Sy Hwang; Meet Gandhi; Ryan J. Urbanowicz; Danielle L. Mowery (MedInfo, 2023)

A risk identification model for detection of patients at risk of antidepressant discontinuation. - Ali Zolnour; Christina E. Eldredge; Anthony Faiola; Yadollah Yaghoobzadeh; Masoud Khani; Doreen Foy; Maxim Topaz; Hadi Kharrazi; Kin Wah Fung; Paul A. Fontelo; Anahita Davoudi; Azade Tabaie; et al. (Frontiers Artif. Intell., 2023)

Predicting emergency department visits and hospitalizations for patients with heart failure in home healthcare using a time series risk model. - Sena Chae; Anahita Davoudi; Jiyoun Song; Lauren Evans; Mollie Hobensack; Kathryn H. Bowles; Margaret V. McDonald; Yolanda Barrón; Sarah Collins Rossetti; Kenrick Cato; Sridevi Sridharan; Maxim Topaz (J. Am. Medical Informatics Assoc., 2023)

Uncovering hidden trends: identifying time trajectories in risk factors documented in clinical notes and predicting hospitalizations and emergency department visits during home health care. - Jiyoun Song; Se Hee Min; Sena Chae; Kathryn H. Bowles; Margaret V. McDonald; Mollie Hobensack; Yolanda Barrón; Sridevi Sridharan; Anahita Davoudi; Sungho Oh; Lauren Evans; Maxim Topaz (J. Am. Medical Informatics Assoc., 2023)

Fairness gaps in Machine learning models for hospitalization and emergency department visit risk prediction in home healthcare patients with heart failure. - Anahita Davoudi; Sena Chae; Lauren Evans; Sridevi Sridharan; Jiyoun Song; Kathryn H. Bowles; Margaret V. McDonald; Maxim Topaz (Int. J. Medical Informatics, 2024)

Exploring home healthcare clinicians' needs for using clinical decision support systems for early risk warning. - Zidu Xu; Lauren Evans; Jiyoun Song; Sena Chae; Anahita Davoudi; Kathryn H. Bowles; Margaret V. McDonald; Maxim Topaz (J. Am. Medical Informatics Assoc., 2024)

Identifying stigmatizing and positive/preferred language in obstetric clinical notes using natural language processing. - Jihye Kim Scroggins; Ismael I Hulchafo; Sarah Harkins; Danielle Scharp; Hans Moen; Anahita Davoudi; Kenrick Cato; Michele Tadiello; Maxim Topaz; Veronica Barcelona (J. Am. Medical Informatics Assoc., 2025)