|
| Name of the framework | System | Technique | Area of application |
|
| Apache Mahout [102] | Library for machine learning (open source) | A real-time computation system which is more flexible and scalable. | Provides mechanisms such as clustering, classification, and regression. |
|
| Skytree [103] | AI-based platform which is applied for general purpose algorithms | Applies artificial intelligence for producing complicated algorithms for more advanced analytics. | For processing very large organized and unorganized datasets more accurately without performing downsampling. |
|
| Karmasphere [104] | Platform of big data | Searches and scrutinizes the web-based, mobile-based, and sensor-based data in Hadoop for the social media. | Develops and issues a graphical-based environment which assists the way finding through any type of big data and identifies the recent trends and patterns present in it. |
|
| BigML [105] | Platform for AI-based programs | Gives various tools for performing tasks related to AI such as clustering, regression analysis, pattern classification, detection of anomaly, and discovery of association. | It combines the AI-based features along with the cloud-based infrastructure for developing applications which are cost-effective, highly accurate, reliable, and flexible. |
|
| Cognitive machine learning algorithm [106] | Cognitive computing tool | Associative memory classifier-based machine learning algorithm. | Echocardiography data are normalized using the machine learning algorithm in order to differentiate the constrictive pericarditis from restrictive cardiomyopathy. |
|
| Machine learning algorithms [107] | Support vector machine | Analyzes and classifies a multidimensional echocardiographic data based on gap in present in it. | To distinguish between athlete heart and hypertrophic cardiomyopathy. |
|
| Phenotypic clustering [108] | Hierarchical clustering | Classifies similar objects between the same clusters and calculates the hierarchy in the echocardiographic data. | To analyze the clustering of echocardiographic variables in order to compute the dysfunction in left ventricular and isolate high-risk phenotyping patterns. |
|
| Convolutional neural network [109] | Combination of AI and natural language processing | It reads the chest X-ray reports of patients and assists the antibiotic assistant system to alert physicians for anti-infective therapy. | It combines the AI-based features along with the natural language processing for effective diagnosis of diseases. |
|
