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AI in Health
5 min readApr 20, 2020
Detect If An Individual Has Parkinson's Disease
Parkinson’s disease is a progressive nervous system disorder that affects movement. Symptoms start gradually, sometimes starting with a barely noticeable tremor in just one hand. Tremors are common, but the disorder also commonly causes stiffness or slowing of movement. — mayoclinic.org
In this article I will show you how to use a machine learning algorithm called XGBoost to detect if an individual has Parkinsons’s disease. XGBoost stands for Extreme Gradient Boosting and is based on decision trees. It is a “newish” machine learning algorithm.
Below is some information about the data set that I will be using throughout this article.
Data Set Features:name - ASCII subject name and recording numberMDVP:Fo(Hz) - Average vocal fundamental frequencyMDVP:Fhi(Hz) - Maximum vocal fundamental frequencyMDVP:Flo(Hz) - Minimum vocal fundamental frequencyMDVP:Jitter(%),MDVP:Jitter(Abs),MDVP:RAP,MDVP:PPQ,Jitter:DDP - Severalmeasures of variation in fundamental frequencyMDVP:Shimmer,MDVP:Shimmer(dB),Shimmer:APQ3,Shimmer:APQ5,MDVP:APQ,Shimmer:DDA - Several measures of variation in amplitude
