Survival modelling using Cox proportional hazard regression model
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Updated
Mar 31, 2017 - R
Survival modelling using Cox proportional hazard regression model
Data Set on Chilean Undersecretaries (1990-2022)
Determined how long a patient is likely to survive advanced inoperable lung cancer when treated with chemotherapy (standard treatment) vs chemotherapy combined with a new drug (test treatment).
survival curves in ggplot2
KM plots and Cox Proportional Hazards model for feature selection
ML models to predict the probability of patient survival based on various KPI's.
tracking survival rate of new employees with a best fitted model using 4 most significant personality trait parameters
A preprocessor to construct medical history table from data source
Survival Analysis on the patients from a trial of laser coagulation for the treatment of diabetic retinopathy. Survival times in this dataset are actual time to blindness in months, minus the minimum possible time to event (6.5 months).
Kaplan-Meier for Congestive Heart Failure Analysis
Generating Kaplan Meier plots using gene expression data
Examining how caffeine levels impact fly survival
Classical ML algorithms implementation.
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