Assessing the effectiveness of disease awareness programs: Evidence from Google Trends data for the world awareness dates. - Seyed Peyman Shariatpanahi; Afshin Jafari; Maryam Sadeghipour; Nasibeh Azadeh-Fard; Keivan Majidzadeh-A; Leila Farahmand; Alireza Madjid Ansari (Telematics Informatics, 2017)

Using a Motion Sensor to Categorize Nonspecific Low Back Pain Patients: A Machine Learning Approach. - Masoud Abdollahi; Sajad Ashouri; Mohsen Abedi; Nasibeh Azadeh-Fard; Mohamad Parnianpour; Kinda Khalaf; Ehsan Rashedi (Sensors, 2020)

Identifying and ranking risks using combined FMEA-TOPSIS method for new product development in the dairy industry and offering mitigation strategies: case study of Ramak Company. - Farzad Sharifi; Mohammad Ali Vahdat-Zad; Behrad Barghi; Nasibeh Azadeh-Fard (Int. J. Syst. Assur. Eng. Manag., 2022)

Predicting the risk of hospital readmissions using a machine learning approach: a case study on patients undergoing skin procedures. - Jigar Adhiya; Behrad Barghi; Nasibeh Azadeh-Fard (Frontiers Artif. Intell., 2023)

A machine learning model to predict heart failure readmission: toward optimal feature set. - Sonia Jahangiri; Masoud Abdollahi; Ehsan Rashedi; Nasibeh Azadeh-Fard (Frontiers Artif. Intell., 2024)

Fall Risk Assessment in Stroke Survivors: A Machine Learning Model Using Detailed Motion Data from Common Clinical Tests and Motor-Cognitive Dual-Tasking. - Masoud Abdollahi; Ehsan Rashedi; Sonia Jahangiri; Pranav Madhav Kuber; Nasibeh Azadeh-Fard; Mary Dombovy (Sensors, 2024)