 In medical informatics, deep learning was used to predict sleep quality based on data from wearables and predictions of health complications from electronic health record data.Deep learning has been shown to produce competitive results in medical application such as cancer cell classification, lesion detection, organ segmentation and image enhancement

Finding the appropriate mobile audience for mobile advertising is always challenging, since many data points must be considered and analyzed before a target segment can be created and used in ad serving by any ad server.Deep learning has been used to interpret large, many-dimensioned advertising datasets.