AI RESEARCH
Multimodal Machine Learning for Early Prediction of Metastasis in a Swedish Multi-Cancer Cohort
arXiv CS.LG
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ArXi:2603.29793v1 Announce Type: new Multimodal Machine Learning offers a holistic view of a patient's status, integrating structured and unstructured data from electronic health records (EHR). We propose a framework to predict metastasis risk one month prior to diagnosis, using six months of clinical history from EHR data. Data from four cancer cohorts collected at Karolinska University Hospital (Stockholm, Sweden) were analyzed: breast (n = 743), colon (n = 387), lung (n = 870), and prostate (n = 1890.