Alzheimer's disease prediction. Team 1

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Lviv Data Science Summer School

This project was completed during the Lviv Data Science Summer School 2017 (http://cs.ucu.edu.ua/en/summerschool).

Education

The
Alzheimer's
Disease
Prediction
Of
Longitudinal
Evolution
What is TADPOLE Challenge?

Goal:
Predict how many days does it takes to
convert to AD
Current
State
Days = ? AD

8,892
Observations
One observation is one visit
1,907
Features
RAW DATA

1,200
Observations
One observation is one visit
132
Features
CLEAN DATA
Target feature:
Time_To_Convertion

Feature selection
1. By expert in
Alzheimer Disease area
2. Dimensionality
Reduction Techniques

Model selection and
estimation
Select estimators ⇨ Fit and train ⇨
Compare ⇨ Select optimal
Support Vector Regressor
Linear SVR
Lasso
Ridge
RandomForestRegressor
XGBoost

$Our choice RandomForestRegressor MAE: 404.841703713 Best params: { 'model__max_features': 'sqrt', 'model__max_depth': 8, 'criterion' : 'mse'}$

±404
Based on one visit in scope of decades
experience
in data science project with real issues
contribution
towards AD data understanding
Results
Mean absolute error
Our small
Gained team

thanks!
Jupyter Notebook link:
http://tinyurl.com/y8tsn4q9

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