"Show me the Evidence" supersedes "Show me the Money." When funds of VCs are shrinking, calls for evidence are growing. But acquiring Real World Data (RWD) is challenging because of regulations that HIPAA protects sensitive and confidential health information. To use RWD for Machine Learning (ML), you must anonymize, remove all PHI, or de-identify, encrypt, and hide protected data. In addition to data acquisition cost, HIPAA Privacy Rule for de-identification methods adds additional cost. These additional costs can be for using off-the-shelf tools for anonymization or hiring a de-identification expert with proven experience. Another barrier is the high cost for medical practitioners with the domain expertise to annotate and label the raw data, images, or audio to train ML models.? Although you would think there is plenty of data generated by patient care, you cannot get that data directly. So, where a startup with limited funding can acquire free RWD? #health?#medicine?#healthcare?#innovation?#technology?#digitalhealth?
Yair R.
1 年
Next, read the "Data Science Approaches to Data Quality: From Raw Data to Dataset" article at?https://www.dhirubhai.net/pulse/data-science-approaches-quality-from-raw-dataset-yair-rajwan-ms-dsc/
Yair R.
1 年
Datasets for Machine Learning, Computer Vision, and Natural Language Processing (NLP) 22 Healthcare Datasets for Machine Learning https://www.iguazio.com/blog/top-22-free-healthcare-datasets-for-machine-learning/? 21 Healthcare Datasets for Computer Vision https://www.v7labs.com/blog/healthcare-datasets-for-computer-vision? 20 Life Sciences, Healthcare, and Medical Datasets for Machine Learning https://imerit.net/blog/20-free-life-sciences-healthcare-and-medical-datasets-for-machine-learning-all-pbm/ 15 Datasets for Healthcare https://odsc.medium.com/15-open-datasets-for-healthcare-830b19980d9? - Dataset Aggregators - Healthcare Services - Scientific Research - General and Public Health 10 Healthcare Datasets for Machine Learning - Computer Vision and Natural Language Processing (NLP) https://deepchecks.com/10-best-free-healthcare-datasets-for-machine-learning/?
Yair R.
1 年
Medical Datasets for Machine Learning: Aims, Types and Common Use Cases * Medical image datasets: - The Cancer Imaging Archive (TCIA) - National Covid-19 Chest Imaging Database (NCCID) - Open Access Series of Imaging Studies (OASIS) - Musculoskeletal Radiographs (MURA) * Clinic and hospital datasets: - Medical Information Mart for Intensive Care (MIMIC) - Healthcare Cost and Utilization Project (HCUP) - Medicare provider data * General health datasets: - Global Health Observatory datasets (GHO) - Older Adults Health Data Collection - NCHHSTP AtlasPlus * Research datasets: - The Cancer Genome Atlas (TCGA) - The Surveillance, Epidemiology, and End Results (SEER) Program datasets - Vivli clinical research datasets https://www.altexsoft.com/blog/medical-datasets/?
Yair R.
1 年
Dataset Aggregators 3K+ Health Datasets - Data World? https://data.world/datasets/health? 250+ Medical Datasets - Papers With Code? https://paperswithcode.com/datasets?mod=medical 100+ Life Sciences Datasets - UCI Center for Machine Learning and Intelligent Systems https://archive.ics.uci.edu/ml/datasets.php?format=&task=&att=&area=life&numAtt=&numIns=&type=mvar&sort=dateUp&view=list
Yair R.
1 年
Kaggle healthcare, medical datasets, and images 15K+ Health Datasets https://www.kaggle.com/datasets?search=health 1K+ Medical Datasets https://www.kaggle.com/datasets?search=medical 200+ Medical images Datasets https://www.kaggle.com/datasets?search=medical+images
Yair R.
1 年
There are numerous sources where data scientists can obtain data to train machine learning models for digital health applications from?publicly open health data and medical collections, such as: - Synthetic medical datasets - Scientific Research: Genome, Molecular - General healthcare, life sciences, medical, and public health - Clinical, healthcare, and hospital cost, payments, services, quality, and utilization - Conditions: Alzheimer, Cancer, Covid-19, chronic indicators, critical care Rehab, Musculoskeletal - Medical image modalities: CT, Histopathology, Electroencephalogram (EEG), Magnetoencephalography (MEG), MRI, PET Radiographs, and X-Ray Another source can be synthetic data. Synthetic data is artificially generated using algorithms rather than produced by real-world events. When using data for real-world evidence of digital health with ML, it is essential to ensure that the data is de-identified and protected to maintain patient privacy. Where do you get your data?
PhysioNet, the moniker of the Research Resource for Complex Physiologic Signals, offers free access to significant collections of physiological and clinical data and related open-source software. https://physionet.org/ MIMIC (Medical Information Mart for Intensive Care) - Open medical data for research, which contains deidentified health-related EHR data from patients who were admitted to the critical care units of the Beth Israel Deaconess Medical Center.? https://mimic.mit.edu/?