Abstract
The unprompted patient’s and inimitable physician’s experience shared on online health communities (OHCs) contain a wealth of unexploited knowledge. Med Help and eHealth are some of the online health communities offering new insights and solutions to all health issues. Diabetes mellitus (DM), thyroid disorders and tuberculosis (TB) are chronic diseases increasing rapidly every year. As part of the project described in this article comments related to the diseases from Med Help were collected. The comments contain the patient and doctor discussions in an unstructured format. The sematic vision of the internet of things (IoT) plays a vital role in organizing the collected data. We pre-processed the data using standard natural language processing techniques and extracted the essential features of the words using the chi-squared test. After preprocessing the documents, we clustered them using the K-means++ algorithm, which is a popular centroid-based unsupervised iterative machine learning algorithm. A generative probabilistic model (LDA) was used to identify the essential topic in each cluster. This type of framework will empower the patients and doctors to identify the similarity and dissimilarity about the various diseases and important keywords among the diseases in the form of symptoms, medical tests and habits.
Highlights
The metabolic disease diabetes mellitus, the contagious infection tuberculosis and thyroid disease are major chronic diseases which affect billions of people every year
The tuberculosis dataset consists of 625 documents, which comprise 117, 276 and 232 documents from 2020, 2019 and 2018, respectively
The thyroid dataset is composed of 591 documents, which contain 116, 219 and 256 documents from 2020, 2019 and 2018, respectively
Summary
The metabolic disease diabetes mellitus, the contagious infection tuberculosis and thyroid disease are major chronic diseases which affect billions of people every year. These chronic diseases rapidly increased death rates over past decades and they act as a gateway to several other diseases by weakening the immune system of humans. According to the World Health Organization, 422 million people are affected by diabetes and 1.6 million deaths occur each year due to diabetes and tuberculosis [1]. A BioMed Centre (BMC) public health journal survey indicates that lower levels of thyroid hormones increase the risk of diabetes mellitus. Diabetes mellitus is a metabolic disease in which blood glucose levels are divergently high. In the United States, diabetes is the seventh most common cause for death
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