AIMC Topic: Neural Networks, Computer

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DeepImpute: an accurate, fast, and scalable deep neural network method to impute single-cell RNA-seq data.

Genome biology
Single-cell RNA sequencing (scRNA-seq) offers new opportunities to study gene expression of tens of thousands of single cells simultaneously. We present DeepImpute, a deep neural network-based imputation algorithm that uses dropout layers and loss fu...

Predicting diabetes second-line therapy initiation in the Australian population via time span-guided neural attention network.

PloS one
INTRODUCTION: The first line of treatment for people with Diabetes mellitus is metformin. However, over the course of the disease metformin may fail to achieve appropriate glycemic control, and a second-line therapy may become necessary. In this pape...

Using satellite-measured relative humidity for prediction of Metisa plana's population in oil palm plantations: A comparative assessment of regression and artificial neural network models.

PloS one
Metisa plana (Walker) is a leaf defoliating pest that is able to cause staggering economical losses to oil palm cultivation. Considering the economic devastation that the pest could bring, an early warning system to predict its outbreak is crucial. T...

ML-ResNet: A novel network to detect and locate myocardial infarction using 12 leads ECG.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVE: Myocardial infarction (MI) is one of the most threatening cardiovascular diseases for human beings, which can be diagnosed by electrocardiogram (ECG). Automated detection methods based on ECG focus on extracting handcrafted ...

Smart identification of psoriasis by images using convolutional neural networks: a case study in China.

Journal of the European Academy of Dermatology and Venereology : JEADV
BACKGROUND: Psoriasis is a chronic inflammatory skin disease, which holds a high incidence in China. However, professional dermatologists who can diagnose psoriasis early and correctly are insufficient in China, especially in the rural areas. A smart...

Noise-boosted bidirectional backpropagation and adversarial learning.

Neural networks : the official journal of the International Neural Network Society
Bidirectional backpropagation trains a neural network with backpropagation in both the backward and forward directions using the same synaptic weights. Special injected noise can then improve the algorithm's training time and accuracy because backpro...

Estimation of cerebral blood flow velocity during breath-hold challenge using artificial neural networks.

Computers in biology and medicine
UNLABELLED: The effect of untreated Obstructive Sleep Apnoea (OSA) on cerebral haemodynamics and CA impairment is an active field of research interest. A breath-hold challenge is usually used in clinical and research settings to simulate cardiovascul...

Recognizing Human Daily Activity Using Social Media Sensors and Deep Learning.

International journal of environmental research and public health
The human daily activity category represents individual lifestyle and pattern, such as sports and shopping, which reflect personal habits, lifestyle, and preferences and are of great value for human health and many other application fields. Currently...

Exploring Deep Physiological Models for Nociceptive Pain Recognition.

Sensors (Basel, Switzerland)
Standard feature engineering involves manually designing measurable descriptors based on some expert knowledge in the domain of application, followed by the selection of the best performing set of designed features for the subsequent optimisation of ...