TMUxMIT Hackathon
Hackathon on Health IoT (HiOT) 健康物聯網黑客松

October 19 ~ 21, 2018

Theme : From Complex Healthcare Data to Serious Clinical Solutions - the AIoT approach

Taipei Medical University Main Campus - Auditorium Building 1st floor

臺北醫學大學校本部 杏春樓一樓

台北市信義區吳興街250號
(No. 250, Wuxing Street, Xinyi District, Taipei City 110)

Add to Calendar Register NOW! Join the Event! Live Streaming

Awards and Prizes

NT$ 80,000 /team

NT$ 60,000 /team

NT$ 40,000 /team

NT$ 20,000 /team

NT$ 10,000 /team

MWP

The Most WOW Prize

PV

Popular Vote

MIH

The Most Innovative Hack

special

Special Prize ... (TBA)

Agenda

(Schedule may be subject to change, please email us for more information)

Day 1 2018-10-19 Fri

09:00-09:30
Registration
09:30-10:00
Opening Ceremony
10:00-10:30
Introduction to TMUxMIT Hackathon and Mentors
10:30-11:20
Keynote Speech 1
Speaker: Matthieu Komorowski
Title: Reinforcement Learning in Healthcare: Opportunities and Challenges
11:20-12:10
Keynote Speech 2
Speaker: 王復中 Fu-Chung Wang (National Health Insurance Administration)
Title: Opportunities and Challenges of AI and Big Data in Healthcare: NHI Perspective
12:10-13:10
Lunch time
13:10-14:00
Team meeting/brainstorm time
14:00-15:00
Mentor-Team meeting/discussion
15:00-15:30
Introductory to GCP (Google Cloud Platform)
Presenter: Matthieu Komorowski
15:30-15:50
Tea break
15:50-17:20
Special Workshop:
Mentor: Cátia Salgado
Topic: Hands-on machine learning with python using the MIMICIII database
17:20-18:30
Hacking
18:30-19:30
Dinner
19:30-  
Hacking
21:00-  
Midnight snack

Day 2 2018-10-20 Sat

08:20-09:00
Breakfast/Registration
09:00-09:40
Keynote Speech 3
Speaker: Leo Anthony G. Celi
Title: The Challenge of Medical Artificial Intelligence
09:40-10:30
Keynote Speech 4
Speaker: Ganapathy Krishnan
Title: Healthcare in 2030- a peep into the future
10:30-12:30
Hacking
12:30-13:30
Launch
13:30-16:00
Hacking
16:00-18:00
Idea feedback
18:00-19:00
Dinner
19:00-  
Hacking
21:00-  
Midnight snack

Day 3 2018-10-21 Sun

07:00-08:00
Breakfast/Registration
08:00-08:20
Mentors' Meeting/Refresh on Evaluation Standard
08:20-11:00
Team Presentation (5min each present + 3 min Q&A)
11:00-11:20
Evaluation + Questionnaire
11:20-11:45
Results Announcement + Award Ceremony
11:45-12:10
Closing Ceremony
12:10 -   
Photo time

Our Mentors

Prof. Dr. Yu-Chuan (Jack) Li
Prof. Dr. Yu-Chuan (Jack) Li

Prof. Dr. Yu-Chuan (Jack) Li has been a pioneer of Medical Informatics research in Asia. He served as a Vice President of Taipei Medical University (TMU) (2009-2011) and currently, he has been the Dean of College of Medical science and Technology since 2011 and a professor of Graduate Institute of Biomedical Informatics since 1998. He obtain his M.D. from TMU in 1991 and his PhD in Medical Informatics from University of Utah in 1994. Due to his achievement in establishing EHR exchange models among hospitals and his dedication to IT applications in patient safety and care, he was awarded as one of the Ten Outstanding Young Persons of the Year in 2001. His main areas of expertise are: Medical Decision Support Systems, Patient Safety Information Systems, and Medical Big Data Analytics.

Professor Terry B.J. Kuo

Professor Terry B.J. Kuo is a professor of Institute of Brain Science, National Yang- Ming University, Taipei, Taiwan. His research interest ranges from medical engineering, cardiovascular physiology and neurophysiology to sleep medicine. Prof. Kuo has also developed original techniques related brain science research including both hardware and software. Prof. Kuo has published more than 100 research articles, and patented more than 50 of his inventions. Prof. Kuo was the recipient of numerous awards in academic and research, including the 2004 Ten Outstanding Young Individuals in Taiwan. Prof. Kuo is also a key medical educator promoting clinician scientist training in Taiwan.

Dr. Shabbir Syed-Abdul

Dr. Shabbir Syed-Abdul, is an assistant professor of Health informatics at Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, Taiwan. He is a leading researcher and a principal investigator at the International Center for Health Information Technology, Taipei, Taiwan. He is educator for MOOCs on FutureLearn, one of his renowned course is on the role of Social Media in Healthcare: Opportunities and Challenges. Syed-Abdul is principle investigator of various Health IT projects like Biosensors, TrEHRT, PWAS, DzMap, Big data analytics and visualization. His research interests are Telemedicine, mHealth, Social media, Personal Health Records. He wants to focus on the management and flow of the medical information among healthcare providers and patients. He is focused on patient empowerment and engagement through social media. His research papers and viewpoints were published in prestigious journals like JAMIA, Journal of Medical Internet Research and The Lancet.

Leo Anthony Celi

Leo Anthony Celi has practiced medicine in three continents, giving him broad perspectives in healthcare delivery. His research is on secondary analysis of electronic health records and global health informatics. He founded and co-directs Sana at the Computer Science and Artificial Intelligence Laboratory at the Massachusetts Institute of Technology. He also holds a faculty position at Harvard Medical School as an intensivist at the Beth Israel Deaconess Medical Center and is the clinical research director for the Laboratory of Computational Physiology at MIT. Finally, he is one of the course directors for HST.936 at MIT – innovations in global health informatics and HST.956 – secondary analysis of electronic health records.

Peggy Lai

Peggy Lai is an assistant professor in Harvard Medical school, focusing on Environmental health related topics and projects with multiple funding from Massachusetts General Hospital, American Thoracic Society and HSPH-NIEHS. Unique multidisciplinary background in medicine, Quantitative methods and Environmental health. Currently also a pulmonary and critical care attending physician at Massachusetts General Hospital.

Alon S. Dagan

Alon Dagan is an Emergency Medicine Physician with a background in Biomedical Engineering. He is interested in developing pragmatic and innovative tools for addressing the complex problems facing health care in the developing world. In addition to working clinically, Alon is an Instructor of Emergency Medicine at Harvard Medical School and a MIT Research Affiliate. He joined the Sana team in 2016 and has been assisting in the design and implementation of international Hackathons, as well as providing a clinical perspective to technical projects addressing healthcare issues.

Cátia Salgado

Cátia Salgado is a PhD student in Bioengineering Systems from MIT Portugal, at the Department of Mechanical Engineering, Instituto Superior Técnico, University of Lisbon, and currently a visiting student at the Institute for Data, Systems and Society at the Massachusetts Institute of Technology. She received the MSc degree in Biomedical Engineering from University of Minho, Portugal, in 2012. Her PhD thesis is titled “Data-based modeling for personalized medicine in the ICU”, and it is focused on the use of machine learning techniques to predict patient adverse events following admission to intensive care units. More specifically, she works in fuzzy modeling and fuzzy clustering applied to health care systems.

Matthieu Komorowski MD, MRES

An experienced anaesthetist and intensivist with 10 years in training and practice, Matthieu Komorowski hold full specialist board certification in both France and the UK. A former medical research fellow at the European Space Agency, he completed a Master in Biomedical Engineering at Imperial College London. He currently pursues a PhD at Imperial College and a research fellowship in intensive care at Charing Cross Hospital in London. A visiting scholar at the Laboratory of Computational Physiology at Harvard/MIT, he belongs to the MIT Critical Data group (Professor Leo Celi) where he apply machine learning to large critical care databases, with the objective of developing decision support systems for sepsis, the number one killer in intensive care.

Yuan Lai

Yuan Lai is a PhD candidate in urban systems and informatics at New York University (NYU). His expertise lies in cross-domain data integration, knowledge mining, and information visualization. Trained as a data scientist and urbanist, he is interested in applied analytics and machine learning using large volume and variety of urban data including sensing network, population health, built environment, social media, and economic transactions. Yuan holds a master's in urban informatics from NYU Center for Urban Science and Progress and a master's in urban planning specialized in urban design and GIS. He is a fellow with Bloomberg L.P. to investigate how data science and augmented reality shape future workspace and business operation. He is currently involving an on-going 'Quantified Community' initiative in New York City, the very first urban informatics sensing project in Manhattan.

Richard Lu

Richard Lu (MD), Postdoctoral Fellow, Massachusetts General Hospital. I help edit papers, conduct retrospective cohort studies on large healthcare databases, and write software for mobile devices. I am interested in applied clinical informatics. I think that mobile health is the next big frontier for informatics, and I am exploring ways to use mobile technology to improve public health in Asia.

Dr. Ben-Chang Shia

Dr. Ben-Chang Shia, Associate Dean of College of Management of Taipei Medical School (TMU), has Ph. D. degree of Agronomy from the National Taiwan University. He is a consultant of Taipei City Government (2014- ) and member of Directorate General of Budget, Accounting and Statistics, Executive Yuan, R.O.C. (2006- ) Prior to that, he was a Chief of the General Affairs of Fu-Jen Catholic University (FJU) (2003-2005), director of School of continuing education Fu-Jen Catholic University (FJU) (2004-2005) and director of Graduate School of Business Administration(FJU) (2010-2011 ). He says, the progress of Taipei Medical University (TMU) had achieved in both World-Ranking advancing and managing of Hospital in notable quality are based on The fully supports from the senior officers. With prime professional executive team, TMU are processing to globally-highly-ranked school in both educating and academic Researching. Within enhancing the quality in medical service and educating. The Newly-established business-school would have done its duty to construct the Profession-based program and to create the polymorphic faculty for student. He wishes, every student of TMU resolved to establish successful career by emerging Expertise and Big data-based technique provided by big data school program in TMU. He advocates, “Learning by doing” and “educating via life-based thoughts” is the best Solution for education. He assists students to master both skills in management and Information technology. With such skills, students are capable to succeed in different Areas.

Adam Chee
MBA, MPH, MSc, Ph.D

Nicknamed the “Consultant’s Consultant”, Dr. Adam CHEE is a convergence scientist working on various aspects of Health (& Care), Informatics, Innovation, Technologies and Business aspects of the ecosystem while serving as the people’s conduit. Bringing 15 years of experience and expertise in strategy & operations, technology & workflow advisory, implementation & adoption of eHealth across ASEAN, North Asia and Middle East. Adam had a successful career in the IT industry before venturing into Health Informatics in 2002, where he works across the healthcare ecosystem, including the primary care sector, private & public tertiary hospitals, research institutes, government health agencies and NGOs across the globe. A recognized Subject Matter Expert, Adam holds leadership positions on several Health Informatics committees as well as faculty positions with institutes of higher learning in the region. Adam has published 3 books, numerous articles and frequently advises & speaks at international conferences (including HIMSS, Harvard etc.). Adam is a Fellow of HIMSS (FHIMSS), Australasia College of Health Informatics (FACHI) and Royal Society of Public Health (FRSPH).

Krishnan Ganapathy
M.Ch.(Neurosurgery), FACS, FICS, FAMS Ph.D

K. GANAPATHY is a Past President of the Telemedicine Society of India, formerly a Honorary Consultant and Advisor in Neurosurgery Armed Forces Medical Services. He is currently a Emeritus Professor at the Dr MGR Tamilnadu Medical University, Chennai.
A pioneer in introducing Telemedicine in India Dr. Ganapathy has been working relentlessly from 1999, for the growth and development of Telemedicine in India. He was a Member of the National Task Force on Telemedicine. He started the first formal Certificate course on Telehealth Technology, in conjunction with the Anna University.

Johnson Huang

Johnson is the managing director of Advmeds Co., Ltd., the IT consultant of Pingtung Christian Hospital, and the secretary-general of HL7 Taiwan. He has the certification of International CDA Specialist and Medical Information Manager. He's devoted in the integration of the progress of the economy from industry to innovating and implementing health IT to medical processes. He had also been working in the low recourse countries several years. Now Johnson would like to share his experience and contribute to the world through building a cloud based open source health information system (HIS) which allows all countries to easy implement health IT to influenced achievements ideal solutions. The project is currently being developed by Advmeds by a young group of members with enthusiasm and passion to create solutions for better health care system and user experience.

Chung-Ho Hsieh M.D., Ph.D. (謝忠和)

Chung-Ho Hsieh M.D., Ph.D. (謝忠和) Chief Information Officer, Shin Kong Wu Ho-Su Memorial Hospital, Taipei City, Taiwan. Attending Physician, Department of General Surgery, Shin Kong Wu Ho-Su Memorial Hospital. Surgical Physician, Zhong-Xing Branch of Taipei City Hospital, Taiwan. Emergency Specialist Physician, Taiwan Society of Emergency Medicine, Assistant Professor, Department of Computer Science and Information Engineering, Fu Jen Catholic University, New Taipei City, Taiwan. Has been an emergency physician, currently a surgeon and a CIO. Be interested with medical information, especially datamining and machine learning. Also be a teacher, like to interact with students.

Usman Iqbal

Dr. Usman Iqbal, Pharm D, MBA, PhD, FACHI, AFCHSM is a faculty at College of Public Health, Global Health and Development Department and International Center for Health Information Technology (ICHIT), Taipei Medical University. He is also a fellow of Australasian College of Health Informatics (ACHI), Salzburg Global Seminar and Australasian College of Health Service Management (ACHSM). Dr. Usman is also Managing Editor - International Journal for Quality in Health Care journal and Asia Pacific Associate Editor – Computer Methods and Programs in Biomedicine Journal. Dr. Usman is also facilitating joint collaborative course between TMU & MIT, Harvard, USA. He has been an author of several peer reviewed scientific articles in leading journals, book chapters and participated in international medical conferences with focus on Health Data and Informatics, Health IT and Patient Safety, Health Care Quality and Management, Global Health, and Health Systems Improvement.

Chih-Hwa Chen

Professor and Dean of College of Biomedical Engineering, Taipei Medical University. Director of Division of Sports Medicine, Department of Orthopedic Surgery, Taipei Medical University. Professor of School of Medicine, College of Medicine, Taipei Medical University.

Mark(Ming-Chin) Lin

Mark (Ming-Chin), Lin's is serving as Attending Physician in Neurosurgery Department of Shuang-Ho hospital (Taipei Medical University affiliated hospital) and teaching as Assitant Professor at Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, Taiwan. His research is focused on Smart Neuro Intensive Care Unit (NICU), Automated Diagnostic code prediction, Standardized terminology, Deep learning for text mining and Hadoop.

Pei-Chen Lin

Dr. Lin is a motivated and competent board certificated emergency physician with years of clinical experience. Familiar with medical technology commercialization, especially clinical study design, FDA regulation, IP strategy, and U.S./Taiwan reimbursement policy. Aim to translate the unmet clinical needs into diagnostic and therapeutic approaches. 林佩蓁,急診室主治醫師,於臨床工作熟悉內外婦兒等急重症之第一線處置與診斷。2013年考取國家公費留考後前往美國加州柏克萊與舊金山分校攻取轉譯醫學碩士學位,了解美國醫療市場、醫材醫藥研發過程、FDA規範及專利法相關知識。

Chia-Ching Chou

“Chia-Ching Chou has extensive experience in both the academia and industry in the field of computational modeling of biomechanics and bioinformatics in Taiwan and the US. She focuses on developing algorithms and tools to link diagnosis, medical treatment and outcome to improve the process of diagnosis and related treatment. Chia-Ching received her Ph.D. degree from Massachusetts Institute of Technology and her B.S. and M.S. degrees from National Taiwan University. 

Tzu-I Yang

Tzu-I Yang, Ph.D. is the research scholar at the MGH Computer Science Lab, co-founder at Ultron Data Co., Ltd, and CTO at CodeTalent Inc. He is also previously the VP at FAYA Integration Ltd. He interests in developing innovative life sciences and biomedical technologies. Expertise in software designing, machine learning, and business model development. He holds Ph.D. degree in Computer Science from National Chiao Tung University, Taiwan. Had been research scholar in MIT Sloan School of Management and University of Berkeley in California.

Arthur Chen

A serial entrepreneur and venture capitalist, Arthur works as the Executive Director at BE Capital, a healthcare focused investment firm, where he manages and invests a portfolio of medical technology ventures in the USA and Greater China. Arthur's passion is to empower young entrepreneurs. He is a startup venture builder at universities to help grow student teams from idea stages to real enterprises, a member of the board at Taiwan Startup Stadium (one of the largest startup incubation hubs in Asia) to coach Taiwan startups to go global and rock the world, and an impact investor at #43 Ventures to support social enterprises that make our world better.

FAQs

Who is eligible for TMU-MIT (Sana) Hackathon?

Any person with IT/Medical background with age above 18 can apply to the TMU-MIT (SANA) HACKATHON.

Is the event free?

There is a registration fee for the participants due to the meals, snacks and elite mentor team we provided. We’re sure the experience and knowledge you can get from the TMUxMIT Hackathon event will worth much more than that!
• Non Student: NT$ 2000/person
• Student: NT$ 500/person

Participants whoever finished the whole event without winning an award can all receive a consolation prize and a proof of participation.
Consolation prizes: Student: NT$500 / Non-student: NT$1000

What are the rules?

In order to keep the Hackathon fair and fun, there are some new rules need to be followed:
  1. "Each team consist of 4~5 people."
    • We'll assist you in finding teammates, a group consist of people from different from different background is required.
  2. "Participants who register individually will be prioritized in the qualification check step."
    • Participants who want to participate as a group are also welcomed to register. However, we reserve the right to add/change your group member. A group consist of people from different background is required.
  3. "Bringing any prototype/beta version with you is strongly forbidden. Every team is required to work together and start from scratch."
    • We reserve the right to disqualified any team that did not follow the rules.
    ※NOTICE※
    • All participants are required to sign non-disclosure agreement, filming agreement and any other required agreements before the event start.

What are the categories?

There won’t be different categories this year, participants can choose to work on concept or dataset, whichever they prefer.

What should I bring to the hackathon?

Please bring a valid ID so we can verify and register you on-site! You will also need to bring a computer/laptop and whatever software/hardware you feel might be necessary. We also recommend bringing a power strip, a sleeping bag, and some comfortable clothes.

What should I present at the end?

Each team should present a poster and a prototype for review. Teams must be finished before the review period --extensions are not allowed.

Will my travel be reimbursed?

Unfortunately, we will not be able to provide individual travel reimbursement this year..

Will there be free food?

Yes! We will provide catered meals and free caffeine during the event!

Do I need to stay the entire time?

We realize that 72 hours is a long time, and that some people might have other commitments. Feel free to stay and leave as you choose.

Any suggested database?

Yes, we recommend MIMIC-III and eICU. For MIMIC-III and eICU we provide you the database through google cloud platform, which would also require the participants to fill out Data Usage Agreement first before having the access to it. MIMIC-III: (https://mimic.physionet.org/) eICU (https://eicu-crd.mit.edu/about/eicu/)

I have more questions!

Publications from MIT Critical Data Datathons

Don’t have any ideas yet? Here are some publications that might help you to come up with some good research topics in 2018 TMUxMIT Hackathon!

Location