Industry Use Case

Predicting Hepatocellular Carcinoma (HCC) Survival Using ML

This project introduces the learner to a detailed analysis of multiple factors of HCC patients and predicts their survival through machine learning.

Predicting the Survival of patients with Hepatocellular carcinoma (HCC)
  • 3 bar graph
    Difficulty: Advanced

    Designed for those with a technical background or industry experience

  • Asset 1
    Duration: Approximately 3 hours

Course Overview

  • Hepatocellular Carcinoma is one of the more commonly affecting cancer types over the world. In general, patients can have significantly varying medical history which has important consequence in the survival post treatment.
  • Understanding the different medical conditions of the patients is an important step before planning the treatment process. Also, estimating the probability of survival of a patient afflicted with HCC can help a medical team in significantly better planning, management of resource and take actions based on priority. For this purpose.
  • Learn to apply different data visualization techniques to thoroughly understand the different conditions of an HCC patient and predict the probability of their survival using classification algorithms, followed by the comparison of model  performance.

What’s included

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Lifetime Access

Access this case study for life once completed

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Flexible Scheduling

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Desktop Only

We recommend accessing this case study via desktop

Skills you will learn

Data Preprocessing

Statistical Analysis

Exploratory Data Analysis

Classification Model Building

Model Comparison

Accuracy Metrics

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Javascript

Associated Learning Tracks

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