| Risk assessment of occupational injuries using Accident Severity Grade N Azadeh-Fard, A Schuh, E Rashedi, J Camelio Safety Science 76, 160-167, 2015 | 79 | 2015 |
| Using a motion sensor to categorize nonspecific low back pain patients: a machine learning approach M Abdollahi, S Ashouri, M Abedi, N Azadeh-Fard, M Parnianpour, ... Sensors 20 (12), 3600, 2020 | 47 | 2020 |
| Assessing the effectiveness of disease awareness programs: Evidence from Google Trends data for the world awareness dates SP Shariatpanahi, A Jafari, M Sadeghipour, N Azadeh-Fard, ... Telematics and Informatics 34 (7), 904-913, 2017 | 19 | 2017 |
| Proactive Risk Assessment of Surgical Site Infections in Ambulatory Surgery Centers. EK Bish, N Azadeh-Fard, LA Steighner, KK Hall, AD Slonim Journal of patient safety, 2014 | 12 | 2014 |
| Can a patient’s in-hospital length of stay and mortality be explained by early-risk assessments? N Azadeh-Fard, N Ghaffarzadegan, JA Camelio Plos one 11 (9), e0162976, 2016 | 11 | 2016 |
| Variations of length of stay: A case study using control charts in the CRISP-DM framework N Azadeh-Fard, FM Megahed, F Pakdil International Journal of Six Sigma and Competitive Advantage 11 (2-3), 204-225, 2019 | 10 | 2019 |
| 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 F Sharifi, MA Vahdatzad, B Barghi, N Azadeh-Fard International Journal of System Assurance Engineering and Management 13 (5 …, 2022 | 6 | 2022 |
| An inpatient fall risk assessment tool: Application of machine learning models on intrinsic and extrinsic risk factors S Jahangiri, M Abdollahi, R Patil, E Rashedi, N Azadeh-Fard Machine Learning with Applications 15, 100519, 2024 | 5 | 2024 |
| Monitoring length of stay through control charts: a comparative study of diabetic patients F Pakdil, N Azadeh-Fard, AE Esatoglu Hospital Practice 47 (4), 196-202, 2019 | 5 | 2019 |
| Predicting risk of sepsis, comparison between machine learning methods: a case study of a Virginia hospital B Barghi, N Azadeh-Fard European Journal of Medical Research 27 (1), 213, 2022 | 4 | 2022 |
| The analysis of hospital readmission rates after the implementation of hospital readmissions reduction program S Muchiri, N Azadeh-Fard, F Pakdil Journal of Patient Safety 18 (3), 237-244, 2022 | 4 | 2022 |
| Using a Motion Sensor to Categorize Low Back Pain Patients: A Machine Learning Approach M Abdollahi, S Ashouri, M Abedi, N Azadeh-Fard, M Parnianpour, ... bioRxiv, 803155, 2019 | 2 | 2019 |
| Fall risk assessment in stroke survivors: a machine learning model using detailed motion data from common clinical tests and motor-cognitive dual-tasking M Abdollahi, E Rashedi, S Jahangiri, PM Kuber, N Azadeh-Fard, ... Sensors 24 (3), 812, 2024 | 1 | 2024 |
| Post-Stroke Functional Changes: In-Depth Analysis of Clinical Tests and Motor-Cognitive Dual-Tasking Using Wearable Sensors M Abdollahi, E Rashedi, PM Kuber, S Jahangiri, B Kazempour, ... Bioengineering 11 (4), 349, 2024 | | 2024 |
| Applications of data envelopment analysis in acute care hospitals: a systematic literature review, 1984–2022 DR Pai, F Pakdil, N Azadeh-Fard Health Care Management Science, 1-29, 2024 | | 2024 |
| A machine learning model to predict heart failure readmission: toward optimal feature set S Jahangiri, M Abdollahi, E Rashedi, N Azadeh-Fard Frontiers in Artificial Intelligence 7, 1363226, 2024 | | 2024 |
| Predicting the risk of hospital readmissions using a machine learning approach: a case study on patients undergoing skin procedures J Adhiya, B Barghi, N Azadeh-Fard Frontiers in Artificial Intelligence 6, 1213378, 2024 | | 2024 |
| Examining readmission rates of congestive heart failure patients in the United States between 2010 and 2017: Does length of stay matter? N Azadeh-Fard, S Muchiri, F Pakdil, H Beazoglou International Journal of Healthcare Management 17 (1), 96-106, 2024 | | 2024 |
| Monitoring Length of Stay in Cardiology Clinic: A framework Using Statistical Process Control Approach N Azadeh-Fard, F Megahed, F Pakdil Northeast Decision Sciences Institute 2017 Annual Conference, 212, 2017 | | 2017 |
| Essays on Risk Indicators and Assessment: Theoretical, Empirical, and Engineering Approaches N Azadeh Fard Virginia Tech, 2016 | | 2016 |
Ehsan RashediRochester Institute of TechnologyVerified email at rit.edu
