Medical Data Classification using Machine Learning Techniques

Text Classification Using Machine Learning Techniques

Automated text classification has been considered as a vital method to manage and process a vast amount of documents in digital forms that are widespread and continuously increasing. In general, text classification plays an important role in information extraction and summarization, text retrieval, and questionanswering. This paper illustrates the text classification process using machine learn...

Music Genre Classification Using Machine Learning Techniques

Music is categorized into subjective categories called genres. Humans have been the primary tool in attributing genre-tags to songs. Using a machine to automate this classification process is a more complex task. Machine learning excels at deciphering patterns from complex data. We aimed to apply machine learning to the task of music genre tagging using eight summary features about each song, a...

Music Genre Classification using Machine Learning Techniques

Categorizing music files according to their genre is a challenging task in the area of music information retrieval (MIR). In this study, we compare the performance of two classes of models. The first is a deep learning approach wherein a CNN model is trained end-to-end, to predict the genre label of an audio signal, solely using its spectrogram. The second approach utilizes hand-crafted feature...

Medical Diagnosis by Using Machine Learning Techniques

Mingyu You and Guo-Zheng Li* Department of Control Science & Engineering Tongji University, Shanghai China *Corresponding author [email protected] Abstract There are many challenges in data analytic research for TCM (Traditional Chinese Medicine), like various clinical record sources, different symptom descriptions, lots of collected clinical symptoms, more than one syndrome attached to one cl...

Novel Machine Learning Techniques for Micro-Array Data Classification