Nasibeh Azadeh-Fard

According to our database, Nasibeh Azadeh-Fard authored at least 6 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

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, February, 2024

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

2023

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., February, 2023

2022

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

2020

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

2017

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