Machine Learning Can Significantly Impact Sepsis Diagnostics, Which Has Led To Significant Investment in the Field
Sepsis diagnostics is the term given to a generic medical diagnostics for a specific condition that causes fluid accumulation in the lower parts of the body. The exact cause of the condition remains unknown to most doctors; however, the most common cause is bacterial infection. Common symptoms include a high fever, nausea, chills, vomiting, diarrhea and stomach pain. These symptoms are generally caused by the body's attempt to combat foreign matters that are known to be harmful to health. High prevalence of sepsis is expected to boost demand for sepsis diagnostics. According to the study, ‘Epidemiology of neonatal early-onset sepsis in a geographically diverse Australian health district 2006-2016’, published in PLOS One in 2019, among 93,584 live born babies, 65 had confirmed early-onset sepsis (0.69/1000 live births). Machine learning can significantly impact sepsis diagnostics , which has led to significant investment in the field. In October 2019, the Biomedical A