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The basic goal of Health Informatics is to take in real world medical data from all levels of human existence to help advance our understanding of medicine and medical practice. This paper will present recent research using Big Data tools and approaches for the analysis of Health Informatics data gathered at multiple levels, including the molecular, tissue, patient, and population levels. In addition to gathering data at multiple levels, multiple levels of questions are addressed: human-scale biology, clinical-scale, and epidemic-scale. We will also analyze and examine possible future work for each of these areas, as well as how combining data from each level may provide the most promising approach to gain the most knowledge in Health Informatics.<\/jats:p>","DOI":"10.1186\/2196-1115-1-2","type":"journal-article","created":{"date-parts":[[2014,6,24]],"date-time":"2014-06-24T09:08:37Z","timestamp":1403600917000},"update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":199,"title":["A review of data mining using big data in health informatics"],"prefix":"10.1186","volume":"1","author":[{"given":"Matthew","family":"Herland","sequence":"first","affiliation":[]},{"given":"Taghi M","family":"Khoshgoftaar","sequence":"additional","affiliation":[]},{"given":"Randall","family":"Wald","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2014,6,24]]},"reference":[{"key":"2_CR1","first-page":"8","volume-title":"BioMed Res Int 2013","author":"J Chen","year":"2013","unstructured":"Chen J, Qian F, Yan W, Shen B: Translational biomedical informatics in the cloud: present and future. 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