Homework 3
Homework 3: Use the
Amyotrophic Lateral Sclerosis (ALS) Data to:
- Generate exploratory data analytics (EDA) illustrating the
(n1=2,223) training
and (N2=78) testing ALS data are simular;
- Apply
k-means clustering and kNN classification to stratify the training cohort;
- Fit in a linear model to predict a clinically relevant outcome (e.g.,
ALSFRS_slope ~ Age_mean + Albumin_median + AST.SGOT._median + Blood.Urea.Nitrogen..BUN._max +
bp_systolic_median + Creatinine_median + hands_median + respiratory_range +e; or
ALSFRS_Total_max ~ Hemoglobin_median + leg_median + mouth_median + onset_delta_mean
Platelets_median + respiratory_median + trunk_median + Urine.Ph_median + e).
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