| Automated detection of periprosthetic joint infections and data elements using natural language processing S Fu, CC Wyles, DR Osmon, ML Carvour, E Sagheb, T Ramazanian, ... The Journal of arthroplasty 36 (2), 688-692, 2021 | 38 | 2021 |
| Use of natural language processing algorithms to identify common data elements in operative notes for knee arthroplasty E Sagheb, T Ramazanian, AP Tafti, S Fu, WK Kremers, DJ Berry, ... The Journal of arthroplasty 36 (3), 922-926, 2021 | 33 | 2021 |
| Identification of asthma control factor in clinical notes using a hybrid deep learning model BS Agnikula Kshatriya, E Sagheb, CI Wi, J Yoon, HY Seol, Y Juhn, ... BMC medical informatics and decision making 21, 1-10, 2021 | 16 | 2021 |
| Mining News Media for Understanding Public Health Concerns M Zolnoori, M Huang, CA Patten, JE Balls-Berry, S Goudarzvand, ... Journal of Clinical and Translational Science, 1-29, 2019 | 15 | 2019 |
| Artificial intelligence assesses clinicians’ adherence to asthma guidelines using electronic health records E Sagheb, CI Wi, J Yoon, HY Seol, P Shrestha, E Ryu, M Park, B Yawn, ... The Journal of Allergy and Clinical Immunology: In Practice 10 (4), 1047 …, 2022 | 11 | 2022 |
| Stage-Specific Survivability Prediction Models across Different Cancer Types E Sagheb Hossein Pour, RJ Kate AMIA Annu Symp Proc 2017, 1421-1429, 2017 | 6* | 2017 |
| Give me a knee radiograph, I will tell you where the knee joint area is: a deep convolutional neural network adventure S Yan, T Ramazanian, E Sagheb, WK Kremers, V Chaudhary, M Taunton, ... arXiv preprint arXiv:2202.05382, 2022 | 5 | 2022 |
| Integrating word embedding neural networks with PubMed abstracts to extract keyword proximity of chronic diseases AP Tafti, Y Wang, F Shen, E Sagheb, P Kingsbury, H Liu 2019 IEEE EMBS International Conference on Biomedical & Health Informatics …, 2019 | 4 | 2019 |
| Deeptkaclassifier: Brand classification of total knee arthroplasty implants using explainable deep convolutional neural networks S Yan, T Ramazanian, E Sagheb, S Fu, S Sohn, DG Lewallen, H Liu, ... Advances in Visual Computing: 15th International Symposium, ISVC 2020, San …, 2020 | 3 | 2020 |
| Big data deep neural network to analyze adverse vaccine reactions AP Tafti, M Assefi, E LaRose, J Badger, Z Ye, BDS Shimpi, S Fereshteh, ... AMIA 2018 Informatics Summit, 2018 | 3 | 2018 |
| Stage-specific Predictive Models for Cancer Survivability ESH Pour The University of Wisconsin-Milwaukee, 2016 | 3 | 2016 |
| An automated natural language processing algorithm to classify magnetic resonance imaging reports containing positive diagnoses of hypertrophic cardiomyopathy S Moon, E Sagheb, S Liu, D Chen, M Bos, JB Geske, PA Noseworthy, ... Circulation 140 (Suppl_1), A13811-A13811, 2019 | 2 | 2019 |
| A Survey of Multithreading Image Analysis ESH Pour arXiv preprint arXiv:1506.04472, 2015 | 2 | 2015 |
| Leveraging artificial intelligence (ai) technologies for automated identification of total knee arthroplasty (tka) devices in electronic health records E Sagheb, S Yan, T Ramazanian, S Fu, A Tafti, S Sohn, HM Kremers Pharmacoepidemiology and Drug Safety 30, 17-17, 2021 | 1 | 2021 |
| Deep Learning Identification of Asthma Inhaler Techniques in Clinical Notes BSA Kshatriya, E Sagheb, CII Wi, J Yoon, HY Seol, Y Juhn, S Sohn 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2020 | 1 | 2020 |
| Sex differences in sociodemographic, clinical, and laboratory variables in childhood asthma: A birth cohort study SE Chiarella, DP Garcia-Guaqueta, LY Drake, RE Dixon, KS King, E Ryu, ... Annals of Allergy, Asthma & Immunology, 2024 | | 2024 |
| Reply to “Correspondence on ‘Artificial Intelligence Assesses Clinician’s Adherence to Asthma Guidelines Using Electronic Health Records’” S Sohn, E Sagheb, CI Wi, Y Juhn The Journal of Allergy and Clinical Immunology: In Practice 11 (11), 3565, 2023 | | 2023 |
| Automated Detection of Type of Scoliosis Surgery from Operative Notes Using Natural Language Processing E Sagheb, T Ramazania, N Larson, S Sohn, HM Kremers 2022 IEEE 10th International Conference on Healthcare Informatics (ICHI …, 2022 | | 2022 |
| 1062: IDENTIFICATION OF PANCREATIC DUCTAL ADENOCARCINOMA RISK FACTORS FROM ELECTRONIC HEALTH RECORDS USING NATURAL LANGUAGE PROCESSING D Sarwal, L Wang, S Gandhi, E Sagheb, L Janssens, S Goncalves, ... Gastroenterology 162 (7), S-243, 2022 | | 2022 |
| Artificial Intelligence (AI)-Based Asthma Phenotype as a Computational Biomarker Predicting Asthma Prognosis P Shrestha, SE Chiarella, CI Wi, K King, E Ryu, S Sohn, E Sagheb, H Seol, ... TP10. TP010 CLINICAL AND POPULATION-LEVEL STUDIES OF ASTHMA, A1473-A1473, 2021 | | 2021 |
Ahmad P. Tafti, PhD, FAMIAAssistant Professor, Interim Director of Scientific Affairs at CPACE, University of Pittsburgh在 pitt.edu 的电子邮件经过验证
