Book Review: Applied Computing in Medicine and Health

match, it was the first time that a computer Go program was able to beat a 9-dan professional without handicaps. This was simultaneously met by reactions of enthusiasm and horror regarding artificial intelligence. In particular, the fear that doctors will be replaced by artificial intelligence is rampant in among doctors. The role of WATSON, designed by IBM for application in the medical area, has led to fear that there is a real threat to doctors. Issue 2. Telemedicine, telehealth, m-Health, u-Health, etc., are other sources of fear as telemedicine is becoming more widespread in medical practice. If telemedicine is widely implemented, it is widely predicted that big facilities will replace private clinics. Issue 3. The big data originating from health insurance claim data and a platform like that of the OHDSI project [1] is obtained from multiple medical facilities, and it includes prescribing data, laboratory data, etc. The availability of big data is changing the pattern of clinical research from small studies to a greater emphasis on very large-scale studies. Issue 4. Since the human genome project in the 1990s, with advances in DNA sequencing techniques, the sequencing of data has increased exponentially. Because of these advances, bioinformatics has also been making remarkable advances. Unlike in the past, many researchers of biotechnology are spending more time in front of computers rather than workbenches; thus, bioinformatics is increasingly moving towards the center of research, rather than playing an axillary role [2,3]. Issue 5. With advances in mobile networks and devices, users are moving from passive lifelogging through SNSs to active lifelogging through wearable devices; thus, lifelogging is becoming increasingly popular, and the biological signals generated by wearable devices are beginning to be used Applied Computing in Medicine and Health