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Disease Detection with Machine Learning

#artificialintelligence

There are many concerns about increasing reliance on technology. Nevertheless, as a society, we continue to push technology to new heights. From how we order food to how we provide healthcare, machine learning, and artificial intelligence continue to help us surpass our wildest dreams. This is very important, especially if early detection and treatment can bring the best results. Using such an algorithm can literally save lives. Some universities have found through the creation of databases that their artificial intelligence can do as well as doctors in the diagnosis process but also do better in early detection. Artificial Intelligence can also give diagnosis suggestions based on the structured data entered by symptoms, give medication suggestions based on the diagnosis code, and predict adverse drug reactions based on other medications taken. Organizations such as Health Catalyst are using artificial intelligence to reduce hospital-acquired infections (HAI). If we can detect these dangerous infections early, we can reduce the mortality and morbidity associated with them. With the help of machine learning, the company is working to understand medical issues through crowdsourcing better. Having a larger and more diverse database can help the research be more accurate.


Image Classification with Convolutional Neural Networks (CNNs) - KDnuggets

#artificialintelligence

A Convolutional Neural Network is a special class of neural networks that are built with the ability to extract unique features from image data. For instance, they are used in face detection and recognition because they can identify complex features in image data. Like other types of neural networks, CNNs consume numerical data. Therefore, the images fed to these networks must be converted to a numerical representation. Since images are made up of pixels, they are converted into a numerical form that is passed to the CNN.


Detecting diseases with Machine Learning

#artificialintelligence

There are many concerns about increasing reliance on technology. Nevertheless, as a society, we continue to push technology to new heights. From how we order food to how we provide healthcare, machine learning, and artificial intelligence continue to help us surpass our wildest dreams. This is very important, especially if early detection and treatment can bring the best results. Using such an algorithm can literally save lives. Some universities have found through the creation of databases that their artificial intelligence can do as well as doctors in the diagnosis process, but also do better in early detection. Artificial Intelligence can also give diagnosis suggestions based on the structured data entered by symptoms, give medication suggestions based on the diagnosis code, and predict adverse drug reactions based on other medications taken. Organizations such as Health Catalyst are using artificial intelligence to reduce hospital-acquired infections (HAI). If we can detect these dangerous infections early, we can reduce the mortality and morbidity associated with them. With the help of machine learning, the company is working to understand medical issues through crowdsourcing better.


Recognise Arabic Digits

#artificialintelligence

Let us build a Deep Learning Model which can read, understand and detect over 28 handwritten Arabic digits. Being one of the six U.N. recognized languages, Arabic is the official language of about 1.8 million people across the globe. Talking about the spread of the language, it spread along with the growth of Islam around the world. It gained vocabulary from Middle Persian and Turkish. In the Islamic world during the 8th century, knowledge of Arabic became a compulsion for everyone.