Fig. 4: Meta-data from the review process.
From: Multimodal machine learning in precision health: A scoping review
a Heat map of fusion type broken down into the coding platforms papers used by summing over paper counts (those that mentioned platform used), the most popular being the Python platform and early fusion. Of note, 37 of the papers did not explicitly mention a platform. b Total number of original research papers published in this sphere in the last 10 years. c Continental breakdown of author contributions (note some papers have authors from multiple continents). d Breakdown of publication type (clinical/non-clinical journal). Less than half (37.6%) of the papers were published in a journal intended for a clinical audience. e Sex breakdown of populations studied. Both men and women were represented in the papers, however, the degree of representation varied within an individual studies.
