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Research Paper on Bert

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Research Paper on Bert “BERT stands for Bidirectional Encoder Representations from Transformers. It is designed to pre-train deep bidirectional representations from an unlabelled text by jointly conditioning on both the left and right context. As a result, the pre-trained BERT model can be fine-tuned with just one additional output layer to create state-of-the-art models for a wide range of NLP tasks.” Before Bert  
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Bone Fracture Detection

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  Bone Fracture Detection The bone is a major component of the human body.   Bone provides the ability to move the body. The bone fractures are common in the human body. The doctors use the X-ray image to diagnose the fractured bone. The manual fracture detection technique is very time consuming and also error probability chance is high. Therefore, an automated system needs to develop to diagnose the fractured bone.  For our project we have used MURA dataset which was released by Stanford university in year 2017. The x-ray is used in the computer-based system to perform the fracture bone diagnosis. The bone image contains noise. Therefore, a suitable preprocessing algorithm is used to remove noise and edges in the image. After that feature are extracted from the bone image. Finally, system is trained with the features and classification is performed by the ML (machine learning) algorithms. Bone fracture detection and segmentation will be done by  X – ray images....
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Disease Predication using Machine Learning

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  Project Overview It is “Disease Predication” project using Machine Learning. In this System we will predicts the disease based on the information or data which is provided by patient. By entering the symptoms and all other useful information the user can get to know that the patient is suffering from that disease or not.     Problem and Solution Statement This is very useful for those who are unable to visit hospital, in this case just by giving the information or data the patient can get to know that he/she is suffering from that disease or not. And the hospital can also get benefits from this system by just asking the symptoms from the patient and entering in the system and in just few seconds they can tell that the patient is suffering from the disease or not.   Benchmark (How this solution is better?) The purpose of making this project called “ Disease Predication using Machine Learning ” is to predict the disease of the patient by using informati...
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