Completed notes of the course Applied AI in medicine

Pagina 1

CURRENT HEALTHCARE AND BIG DATA IN MEDICINE What has been happening in recent years is a major demographic transition. If we look the graph, we can see on the y axis the % of global population and on the x axis the different years. In red we have children (< 5 y/o) and in blue we have people over 65 y/o. There is a trend of decreasing children and increasing of other peop le. In 2010 there was an intersection, meaning that now the number of elderly people is larger than the number of children. On the other graph we see the % of change in the world population in the period 2010-2050. People over 85 y/o will increase of 351%, 65 y/o of 1 88% and younger of only 22%. People are getting very older. The problem is related to the health issue and is that the health treatments is moving to noncommunicable diseases, that are heart diseases, diabetes, cancer. All this results in a growth in healthcare costs. This is not evenly spread in all the world: we have 37$ in Pakistan vs 12.703$ in US. But there is a continuous increase in health cost. So, there is a rising need for technology that can help to reduce these costs and could help clinicians to obtain better diagnoses. The good thing is that there also been an arise in health-conscious population, meaning that people are more careful to nutrition, fitness and in general some electronic devises that could monitor their physiological parameters. The electronical health records are real time, patient centered, and they simply record all the information about patient and this information are accessible to all the doctors of different hospitals. So, electronical health records: So, for each patient there will be a very big amount of data that are accumulated over the course of life and can be used by a doctor or a software to…