| Artificial intelligence applications in type 2 diabetes mellitus care: focus on machine learning methods S Abhari, SRN Kalhori, M Ebrahimi, H Hasannejadasl, A Garavand Healthcare informatics research 25 (4), 248-261, 2019 | 102 | 2019 |
| Health literacy and eHealth: challenges and strategies H Hasannejadasl, C Roumen, Y Smit, A Dekker, R Fijten JCO Clinical Cancer Informatics 6, e2200005, 2022 | 39 | 2022 |
| Practitioners’ views on shared decision-making implementation: A qualitative study A Ankolekar, K Dahl Steffensen, K Olling, A Dekker, L Wee, C Roumen, ... PLoS One 16 (11), e0259844, 2021 | 23 | 2021 |
| Design and evaluation of mobile based self-management system for tuberculosis R Safdari, H Hasan Nejadasl, S Rostam Niakan-Kalhori, B Nikmanesh Payavard Salamat 12 (3), 230-238, 2018 | 17 | 2018 |
| Development and external validation of multivariate prediction models for erectile dysfunction in men with localized prostate cancer H Hasannejadasl, C Roumen, H van der Poel, B Vanneste, ... Plos one 18 (3), e0276815, 2023 | 8* | 2023 |
| Breast cancer patients’ most important quality of life themes for a radiotherapy decision aid C Roumen, H Hasannejadasl, R Swart, D Raphael, L Wee, M Sloep, ... The Breast 65, 8-14, 2022 | 4 | 2022 |
| A comparison of machine learning models for predicting urinary incontinence in men with localized prostate cancer H Hasannejadasl, B Osong, I Bermejo, H van der Poel, B Vanneste, ... Frontiers in Oncology 13, 1168219, 2023 | 3 | 2023 |
| Patients' perspectives on AI and decision making in cancer care RRR Fijten, H Hasannejadasl, CJW Offermann, E Essink, A Dekker, ... Radiotherapy and Oncology 194, S2931-S2933, 2024 | 1 | 2024 |
| Artificial intelligence-enabled obesity prediction: A systematic review of cohort data analysis SRN Kalhori, F Najafi, H Hasannejadasl, S Heydari International Journal of Medical Informatics, 105804, 2025 | | 2025 |
| The value of PROMs for predicting erectile dysfunction in prostate cancer patients with Bayesian network B Osong, H Hasannejadasl, H van der Poel, B Vanneste, J van Roermund, ... Technical Innovations & Patient Support in Radiation Oncology 31, 100234, 2024 | | 2024 |
| Data-driven shared decision making in oncology: addressing preference-sensitive scenarios H Hasannejadasl | | 2024 |
| Patients' Attitudes Towards the Use of AI-Based Decision Aids for Breast Cancer Treatment Decision-Making: A Qualitative Study H Hasannejadasl, C Offermann, E Essink, A Dekker, C Roumen, R Fijten | | 2023 |
| PD-0570 The value of PROMs for predicting erectile dysfunction in prostate cancer patients B Osong, H Hasannejadasl, H van der Poel, B Vanneste, J van Roermund, ... Radiotherapy and Oncology 182, S450-S452, 2023 | | 2023 |
| PO-1523 Comparison of machine learning methods to predict urinary incontinence in localized prostate cancer H Hasannejadasl, H van de Poel, B Vanneste, J van Roermund, K Aben, ... Radiotherapy and Oncology 182, S1238-S1239, 2023 | | 2023 |
| OC-0594 Patients' attitudes on the use of AI-based decision aid: A qualitative study H Hasannejadasl, E Essink, C Roumen, C Offermann, A Dekker, R Fijten Radiotherapy and Oncology 182, S475-S476, 2023 | | 2023 |
| Machine learning-based models for prediction of erectile dysfunction in localized prostate cancer H Hasannejadasl, C Roumen, H van der Poel, B Vanneste, ... Radiotherapy and Oncology 170, S683-S684, 2022 | | 2022 |
| Practitioners’ views on shared decision-making implementation: A qualitative study A Ankolekar, KD Steffensen, K Olling, A Dekker, L Wee, C Roumen, ... Radiotherapy & Oncology 170 (Supplement 1), 883-884, 2022 | | 2022 |
| PD-0920 Patients’ preferences on breast cancer side effects communication: implications for a decision aid H Hasannejadasl, L Boersma, C Richel, M Schuurman, R Fijten, ... Radiotherapy and Oncology 161, S761-S762, 2021 | | 2021 |
| Mobile Applications to Support Depression Self-Management: A Review of Apps HH Shararaeh R. Niakan KALHORI Successes and Failures in Telehealth 8th Annual Meeting of the Australasian …, 2017 | | 2017 |
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