Women across the world are deprived of the right and timely medical advice. Lack of a context-aware medical platform for mother and child-care, overall wellness of a woman and girl child-care are major contributing factors. Kvinna focuses on building a context-map for every patient with patented technology using machine learning based on uncertainties and exceptions.
Machine learning is used for context mapping, context classification and the most important aspect of learning from new scenarios. Kvinna goes beyond a typical pattern-based machine learning to address the health care issues by building a context using data points derived from multiple sources. This context is then used to rank the context maps with reference to patients giving insights to doctors and improving the efficiency of their diagnosis.