Title
Visualizing correlations among Parkinson biomedical data through information retrieval and machine learning techniques
Abstract
In the last few years, the integration of researches in Computer Science and medical fields has made available to the scientific community an enormous amount of data, stored in databases. In this paper, we analyze the data available in the Parkinson’s Progression Markers Initiative (PPMI), a comprehensive observational, multi-center study designed to identify progression biomarkers important for better treatments for Parkinson’s disease. The data of PPMI participants are collected through a comprehensive battery of tests and assessments including Magnetic Resonance Imaging and DATscan imaging, collection of blood, cerebral spinal fluid, and urine samples, as well as cognitive and motor evaluations. To this aim, we propose a technique to identify a correlation between the biomedical data in the PPMI dataset for verifying the consistency of medical reports formulated during the visits and allow to correctly categorize the various patients. To correlate the information of each patient’s medical report, Information Retrieval and Machine Learning techniques have been adopted, including the Latent Semantic Analysis, Text2Vec and Doc2Vec techniques. Then, patients are grouped and classified into affected or not by using clustering algorithms according to the similarity of medical reports. Finally, we have adopted a visualization system based on the D3 framework to visualize correlations among medical reports with an interactive chart, and to support the doctor in analyzing the chronological sequence of visits in order to diagnose Parkinson’s disease early.
Year
DOI
Venue
2022
10.1007/s11042-021-10506-x
Multimedia Tools and Applications
Keywords
DocType
Volume
Biomedical data analysis, Health information visualization, Information retrieval, Machine learning
Journal
81
Issue
ISSN
Citations 
11
1380-7501
0
PageRank 
References 
Authors
0.34
10
2
Name
Order
Citations
PageRank
Maria Frasca100.34
Genoveffa Tortora21477151.59