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Found 5 papers, 0 papers with code
Depression Status Estimation by Deep Learning based Hybrid Multi-Modal Fusion Model
Due to the immense variations in character level traits from person to person, traditional deep learning methods fail to generalize in a real world setting.
Multi-Modal Detection of Alzheimer's Disease from Speech and Text
Reliable detection of the prodromal stages of Alzheimer's disease (AD) remains difficult even today because, unlike other neurocognitive impairments, there is no definitive diagnosis of AD in vivo.
A smartphone based multi input workflow for non-invasive estimation of haemoglobin levels using machine learning techniques
This application expedites data collection and facilitates active learning of the model.
A Novel Sentiment Analysis Engine for Preliminary Depression Status Estimation on Social Media
We propose a cloud-based smartphone application, with a deep learning-based backend to primarily perform depression detection on Twitter social media.
A Data-Efficient Deep Learning Based Smartphone Application For Detection Of Pulmonary Diseases Using Chest X-rays
This paper introduces a paradigm of smartphone application based disease diagnostics that may completely revolutionise the way healthcare services are being provided.
