Machine Learning and AI for Healthcare: Big Data for Improved Health Outcomes by Arjun Panesar
My rating: 4 of 5 stars
After the first chapter of this book, I was ready to put it down and regret the money I spent on it. It seemed to walk over ground that I’ve already covered as a researcher in medical informatics. Fortunately, I continued, for I came to learn a lot from this author. Although not as succinctly written as academic papers, this book is thoroughly researched and comments on an emerging field – the intersection of healthcare and software. It also comments on this from a British perspective. I am used to reading Americans comment on this field, but comments from a Brit who possesses experience in the field is particularly interesting to me.
The author’s experience in this field is particular to Type-2 Diabetes. It is quite obvious that his research tilts towards diabetes. I would like to hear more from this author about work that’s being done on other major diseases like HIV/AIDS, malaria, emerging diseases, cystic fibrosis, etc. That is a tall order to ask, I understand, and much work needs to be done for this to be the case. Nonetheless, this is the broad frontier that we now face between medicine and computers.
I’m glad that Panesar added his voice to the effort to leverage computers to fight disease, and I’m glad that I took the time to listen.