health-neuroscience-2019-keynote

allied

academies

April 08-09, 2019 | Zurich, Switzerland

Health Care and Neuroscience

International Conference on

Page 17

Notes:

Journal of Public Health Policy and Planning | Volume 3

This App provides around 95% to 99% prediction

accuracy. A patient takes the meal photo before first-

bite of food and store it inside of this APP to get a

predicted PPG value instantly. If the predicted PPG

is too high, he/she can change, delete or vary the

quantity of certain meal portions in order to obtain

a reduced PPG value from the same meal. Using

“machine learning” technology, the system can

auto-learn and auto-correct carbs/sugar contents of

various food in order to customize for each different

patient. In summary, this APP has proven to reach to

99.57% PPG prediction accuracy based on a big food

bank with 4,474 meals and 8 million food nutrition

data. Quantity of post-meal exercise is also included

in this PPG prediction. T2D patients need to walk

1,000 to 4,000 steps within two hours after first-bite

of meal, depending on their diabetes severity. Once

patients’ weight, FPG, and PPG is under control, their

A1C and overall metabolic conditions will also be

improved significantly.

Conclusion:

Public health personnel can easily use

these proven techniques and available AI technology

tool to educate and guide T2D patients to improve

their glucose control.

Speaker Biography

Gerald C Hsu received an honorable PhD in mathematics and majored in

engineering at MIT. He attended different universities over 17 years and

studied seven academic disciplines. He has spent 20,000 hours in T2D

research. First, he studied six metabolic diseases and food nutrition during

2010 to 2013, then conducted his own diabetes research during 2014 to

2018. His approach is “quantitative medicine” based on mathematics,

physics, optical and electronics physics, engineering modeling, signal

processing, computer science, big data analytics, statistics, machine

learning, and artificial intelligence. His main focus is on preventive medicine

using prediction tools. He believes that the better the prediction, the more

control you have.