hw0_Solution - CS 6375 Homework 0 Chenxi Zeng, UTD ID:...

Info iconThis preview shows pages 1–2. Sign up to view the full content.

View Full Document Right Arrow Icon

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon
This is the end of the preview. Sign up to access the rest of the document.

Unformatted text preview: CS 6375 Homework 0 Chenxi Zeng, UTD ID: 11124236 1. Machine learning (ML) provides methods, techniques, and tools that can help solving diagnostic and prognostic problems in a variety of medical domains. I am not sure whether ML has been used in some diagnosis or prognosis, but there are some ideas in related papers. TASK : Diagnosis or prognosis for some disease. ANALYSIS : Some disease cannot be procured only by machine or present knowledge. We assume, however, the disease could be guessed or inferred by several certain characters of the patient. METHOD : Using the data pool updated till now, we could found the most likely related characters of some disease. By analyzing the data, we could let computer learn the probability of the disease by several related characters, and make a good solution for it. The characters are the clinical parameters, with some domains and our prediction function would be a combination of these parameters, which the result would be the probability of the disease.parameters, which the result would be the probability of the disease....
View Full Document

This note was uploaded on 01/25/2012 for the course CS 6375 taught by Professor Yangliu during the Spring '09 term at University of Texas at Dallas, Richardson.

Page1 / 3

hw0_Solution - CS 6375 Homework 0 Chenxi Zeng, UTD ID:...

This preview shows document pages 1 - 2. Sign up to view the full document.

View Full Document Right Arrow Icon
Ask a homework question - tutors are online