| Readmission prediction using deep learning on electronic health records A Ashfaq, A Sant’Anna, M Lingman, S Nowaczyk Journal of biomedical informatics 97, 103256, 2019 | 202 | 2019 |
| Data resource profile: regional healthcare information platform in Halland, Sweden A Ashfaq, S Lönn, H Nilsson, JA Eriksson, J Kwatra, ZM Yasin, ... International journal of epidemiology 49 (3), 738-739f, 2020 | 41 | 2020 |
| Training machine learning models to predict 30-day mortality in patients discharged from the emergency department: a retrospective, population-based registry study MC Blom, A Ashfaq, A Sant'Anna, PD Anderson, M Lingman BMJ open 9 (8), e028015, 2019 | 32 | 2019 |
| Development of a prehospital prediction model for risk stratification of patients with chest pain K Wibring, M Lingman, J Herlitz, A Ashfaq, A Bång The American Journal of Emergency Medicine 51, 26-31, 2022 | 16 | 2022 |
| Receiving care according to national heart failure guidelines is associated with lower total costs: an observational study in Region Halland, Sweden ZM Yasin, PD Anderson, M Lingman, J Kwatra, A Ashfaq, JE Slutzman, ... European Heart Journal-Quality of Care and Clinical Outcomes 7 (3), 280-286, 2021 | 13 | 2021 |
| Machine learning in healthcare--a system's perspective A Ashfaq, S Nowaczyk arXiv preprint arXiv:1909.07370, 2019 | 10 | 2019 |
| Improving machine learning 30-day mortality prediction by discounting surprising deaths ET Heyman, A Ashfaq, A Khoshnood, M Ohlsson, U Ekelund, ... The Journal of Emergency Medicine 61 (6), 763-773, 2021 | 9 | 2021 |
| Clinical characteristics at hospital discharge that predict cardiovascular readmission within 100 days in heart failure patients–An observational study J Davidge, A Halling, A Ashfaq, K Etminani, B Agvall International Journal of Cardiology Cardiovascular Risk and Prevention 16 …, 2023 | 6 | 2023 |
| Clinical characteristics and mortality of patients with heart failure in Southern Sweden from 2013 to 2019: a population-based cohort study J Davidge, A Ashfaq, KM Ødegaard, M Olsson, M Costa-Scharplatz, ... BMJ open 12 (12), e064997, 2022 | 6 | 2022 |
| Predicting clinical outcomes via machine learning on electronic health records A Ashfaq Halmstad University Press, 2019 | 5 | 2019 |
| DEED: DEep Evidential Doctor A Ashfaq, M Lingman, M Sensoy, S Nowaczyk Artificial Intelligence, 104019, 2023 | 4 | 2023 |
| Characteristics, management and outcomes in patients with CKD in a healthcare region in Sweden: a population-based, observational study B Agvall, A Ashfaq, K Bjurström, K Etminani, L Friberg, J Lidén, ... BMJ open 13 (7), e069313, 2023 | 4 | 2023 |
| Preprint for ResearchGate: please see the official version at http://workshop-proceedings. icwsm. org/abstract? id= 2021_72 F Valle, A Galozy, A Ashfaq, K Etminani, A Vinel, M Cooney | 4 | 2021 |
| A modified fuzzy C means algorithm for shading correction in craniofacial CBCT images A Ashfaq, J Adler CMBEBIH 2017: Proceedings of the International Conference on Medical and …, 2017 | 4 | 2017 |
| KAFE: Knowledge and Frequency Adapted Embeddings A Ashfaq, M Lingman, S Nowaczyk International Conference on Machine Learning, Optimization, and Data Science …, 2022 | 3 | 2022 |
| Segmentation of cone beam CT in stereotactic radiosurgery A Ashfaq | 3 | 2016 |
| Deep Evidential Doctor A Ashfaq Halmstad University Press, 2022 | 1 | 2022 |
| How does an AI diagnose dyspnoea in ED triage without human guidance? ET Heyman, A Ashfaq, U Ekelund, M Ohlsson, J Björk, AM Khoshnood, ... Swedish Emergency Medicine Talks-SWEETS24, 2024 | | 2024 |
| Design of an AI Support for Diagnosis of Dyspneic Adults at Time of Triage in the Emergency Department ET Heyman, A Ashfaq, U Ekelund, M Ohlsson, J Björk, AM Khoshnood, ... European Emergency Medicine Congress 2023, 2023 | | 2023 |
| Interpretable AI diagnostics for dyspnea in the emergency department by deep learning and a massive regional health care dataset ET Heyman, A Ashfaq, U Ekelund, M Ohlsson, J Björk, LD Holmqvist, ... Swedish Emergency Medicine Talks-SWEETS23, 2023 | | 2023 |
Markus LingmanSahlgrenska academy, Halmstad UniversityVerified email at gu.se
