help our due to certain cancer treatments ... - academia.catmanaging director sca eala lead,...

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HELP OUR DOCTORS! Using machine learning techniques you will be asked to develop an algorithm to predict which patients are most likely to develop an illness Due to certain cancer treatments, some patients’ immune system deteriorates and they are likely to suffer from febrile neutropenia and there is a considerable risk that they might develop a possibly- fatal disease called bacteremia. To perform a complete diagnosis to determine if a patient has bacteremia takes multiple days and for infected patients this drastically increases their risk of dying. Therefore most patients are treated with strong and expensive antibiotics right away even if they might not need it. There is, however, a huge amount of historical data available regarding the tests performed on each patient and their surroundings that could help predict the probability of a patient developing bacteremia.

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Page 1: HELP OUR Due to certain cancer treatments ... - academia.catManaging Director SCA EALA Lead, Accenture Digital Isabel Fernandez Applied Intelligence Iberia Lead, Accenture Analytics

HELP OUR DOCTORS!

Using machine learning techniques you will be asked to develop an algorithm to predict which patients are most likely to develop an illness

Due to certain cancer treatments, some

patients’ immune system deteriorates and

they are likely to suffer from febrile

neutropenia and there is a considerable

risk that they might develop a possibly-

fatal disease called bacteremia.

To perform a complete diagnosis to

determine if a patient has bacteremia takes

multiple days and for infected patients this

drastically increases their risk of dying.

Therefore most patients are treated with

strong and expensive antibiotics right away

even if they might not need it.

There is, however, a huge amount of

historical data available regarding the tests

performed on each patient and their

surroundings that could help predict the

probability of a patient developing

bacteremia.

Page 2: HELP OUR Due to certain cancer treatments ... - academia.catManaging Director SCA EALA Lead, Accenture Digital Isabel Fernandez Applied Intelligence Iberia Lead, Accenture Analytics

Hackathon Agenda

2nd of June

09h00 – Welcome

09h15 – Breakfast

09h45 – Presentations

10h30 – Hackathon Begins*

13h30 – Lunch

17h30 – Coffee Break

20h30 – Dinner

01h00 – End of Day 1

3rd of June 017

09h00 – Breakfast

10h00 – Last Analytics Submission

11h00 – End of Submissions*

12h00 – Use Case Presentations

13h00 – Jury Discussion

13h30 – Prizes and Winner Announcements

14h00 – Lunch*

16h30 – Event Closure

Challenge rules

Allowed submissions per team: 10

The public leader board is calculated using a supplemented test set that contains additional ignored data, that will not be considered in the final score.

Points are allocated with the following rule:• 3 points to the team with highest accuracy• 1 points to the best “medical” solution• 1 point to best presentation

Demo Experience Program

In this section, formed by the demo experience room and infinity cube, participants will be able enjoy innovative demos and gadgets including: virtual reality, augmented reality, machine learning, visual recognition, voice recognition amongst others

This Experience program will be available in the following time frames:

2nd June: 10.00 to 12.003rd June: 11.00 to 12.00 & 14.00 to 15.30

Evaluation Committee

Dr. Jordi EsteveLead of Hematologic Services, Hospital Clínic

Dr. Josep MensaHonored Consultant Infectious diseases services, Hospital Clínic

Dra. Carolina García-VidalSenior Specialist in Infectious diseases services, Hospital Clínic

Jaime R LagunasManaging Director SCA EALA Lead, Accenture Digital

Isabel FernandezApplied Intelligence Iberia Lead, Accenture Analytics

Contact OrganizerPaula [email protected]

LocationValkiria HUBCarrer Pujades 126 (Poble Nou)08005 Barcelona (Spain)

PrizesHackathon winners will be compensated with prizes valued in 4k