My research is on extracting diagnoses from clinical notes/reports using Artificial Intelligence.

I am strugling with finding good datasets that has big number of records

I have MIMIC dataset but one dataset is not enough and need at least 4 datasets more.

I read in this research


They used MGH dataset with more than 91,000 records

I tried to find this dataset but could not

I found another dataset called MGH Waveform but this is not mainly for clinical notes.

I tried to contact the author of this research to ask but no response.

I wonder if anyone can help me find big datasets for clinical notes.



For medical imaging, and related clinical co-variables, you can find various datasets here:


Furthermore, some of our works [1, 2, 3] have a deep comprehension of these datasets published in peer-review journals and conferences. Our work aims at developing a database for a complete set of clinical attributes to train Artificial Intelligence (AI) models. These AI models are trained under supervised information provided by clinicians from several medical institutions.


[1] Francisco M. Calisto, Alfredo Ferreira, Jacinto C. Nascimento, and Daniel Gonçalves. 2017. Towards Touch-Based Medical Image Diagnosis Annotation. In Proceedings of the 2017 ACM International Conference on Interactive Surfaces and Spaces (ISS '17). Association for Computing Machinery, New York, NY, USA, 390–395. DOI: https://doi.org/10.1145/3132272.3134111

[2] Francisco Maria Calisto, Nuno Nunes, and Jacinto C. Nascimento. 2020. BreastScreening: On the Use of Multi-Modality in Medical Imaging Diagnosis. In Proceedings of the International Conference on Advanced Visual Interfaces (AVI '20). Association for Computing Machinery, New York, NY, USA, Article 49, 1–5. DOI: https://doi.org/10.1145/3399715.3399744

[3] Francisco Maria Calisto, Carlos Santiago, Nuno Nunes, Jacinto C. Nascimento, Introduction of human-centric AI assistant to aid radiologists for multimodal breast image classification, International Journal of Human-Computer Studies, Volume 150, 2021, 102607, ISSN 1071-5819, DOI: https://doi.org/10.1016/j.ijhcs.2021.102607

  • 1
    These are not clinical notes !
    – asmgx
    Oct 13 at 3:31

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