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Preditive factors of recurrent venous thromboembolism using design of experiments

Grant number: 18/10602-1
Support type:Scholarships in Brazil - Scientific Initiation
Effective date (Start): September 01, 2018
Effective date (End): August 31, 2020
Field of knowledge:Engineering - Chemical Engineering
Principal Investigator:Tiago Dias Martins
Grantee:Gabriel Yoshiaki Ottaiano
Home Institution: Instituto de Ciências Ambientais, Químicas e Farmacêuticas (ICAQF). Universidade Federal de São Paulo (UNIFESP). Campus Diadema. Diadema , SP, Brazil
Associated research grant:16/14172-6 - Investigation of the pathophysiological aspects and novel therapeutic approaches for thromboembolic disorders, AP.TEM


This proposal is part of the Project Fapesp 2016 / 14172-6, whose main objective is to investigate the pathophysiological mechanisms of venous thromboembolism (VTE). The recurrence of VTE can affect up to 30% of the patients in 5 years after the first episode. After a first thrombotic episode, the standard treatment is the administration of an anticoagulant medication for 3 to 6 months. After this period, the probability of recurrence is still uncertain. Due to its multifactorial nature, the development of new methods for predicting the recurrence is crucial. However, this task becomes less laborious when the main factors that influence the disease are known. Within this context, the design of experiments (DOE) technique can be a useful tool. The main objective of this project is to use the neural model proposed by Martins (2018) (which took into account the influence of 39 factors) in order to determine the main factors of VTE recurrence using several DOE strategies, among them the fractional planning and Plackett-Burman. Also, to compare the response of different DOE techniques to corroborate their effectiveness. Finally, it is expected to explore the interdisciplinarity between Engineering and Medicine aiming the social welfare. The conclusion of the objectives will show that the association between statistical techniques and artificial intelligence is an important tool of public utility, which can be used to determine the important factors of recurrent thrombosis, positively impacting the medical field.