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Deep Learning for Survival Analysis

Abhishek Thakur via YouTube

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Overview

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This talk introduces survival analysis for time-to-event prediction, covering censoring, truncation, Cox regression, and deep learning models including DeepSurv and CoxTime. Examples include credit default, machine failure, and cancer relapse.

Syllabus

Introduction
Overview
Survival Analysis
General Framework
Censoring and Truncation
Can we throw away censored data
Cox regression model
Covariates
Nonparametric baseline hazard
Deep learning models
DeepServe
CoxTime
Democracy Data Set
Dips Off
Perspectives
Resources
Customer Analytics
Probability
Binary Classification
EHR Database
Cox Time
Evaluation

Taught by

Abhishek Thakur

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