Results 21 to 30 of about 3,742,547 (295)

Extended Topic Model Based Abnormal Medical Prescription Detection Method

Jisuanji kexue yu tansuo, 2020
Abnormal prescriptions refer to abnormal prescriptions prescribed by doctors for patients. Abnormalities in medical prescription, such as drug abuse and incorrect medicine, will affect the efficiency of treatment and even result in serious consequence ...
LIU Shaoqin, TANG Shuang, ZHAO Junfeng, WANG Yasha, ZHUO Lin
doaj   +1 more source

Chapter Early Detection and Reconstruction of Abnormal Data Using Hybrid VAE-LSTM Framework

, 2023
Early failure detection and abnormal data reconstruction in sensor data provided by building ventilation control systems are critical for public health.
Kwok, Helen H.L., Hou, Fangli, Ma, Jun, Cheng, Jack C. P.   +3 more
core   +1 more source

Software Operation Anomalies Diagnosis Method Based on a Multiple Time Windows Mixed Model

Applied Sciences, 2023
The detection of anomalies in software systems has become increasingly crucial in recent years due to their impact on overall software quality. However, existing integrated anomaly detectors usually combine the results of multiple detectors in a ...
Tao Shi, Zhuoliang Zou, Jun Ai
doaj   +1 more source

One-Step Gait Pattern Analysis of Hip Osteoarthritis Patients Based on Dynamic Time Warping through Ground Reaction Force

Applied Sciences, 2023
Osteoarthritis (OA) of the hip is a degenerative joint disease, which means it causes gradual damage to the joint, and its incidence rate continues to increase worldwide.
Sohyun Ahn, Wiha Choi, Hieyong Jeong, Sehoon Oh, Tae-Du Jung   +4 more
doaj   +1 more source

Geometry-Invariant Abnormality Detection

, 2023
Cancer is a highly heterogeneous condition best visualised in positron emission tomography. Due to this heterogeneity, a general-purpose cancer detection model can be built using unsupervised learning anomaly detection models. While prior work in this field has showcased the efficacy of abnormality detection methods (e.g. Transformer-based), these have
Ashay Patel, Petru-Daniel Tudosiu, Walter Hugo Lopez Pinaya, Olusola Adeleke, Gary J. Cook, Vicky Goh, Sébastien Ourselin, M. Jorge Cardoso   +7 more
openaire   +3 more sources

An LSTM auto-encoder based anomaly detection for industrial system

Dianxin kexue, 2020
In the context of the industrial internet,automatic and effective anomaly detection methods are of great significance to the safe and stable production of industrial systems.Traditional anomaly detection methods have the disadvantages of requiring a ...
Xiaojun SHEN, Yanan GE, Zhihao SHEN, Yangdan NI, Mingqi LV, Zhengqiu WENG   +5 more
doaj  

Automated Optical Inspection Method for Light-Emitting Diode Defect Detection Using Unsupervised Generative Adversarial Neural Network

Crystals, 2021
Many automated optical inspection (AOI) companies use supervised object detection networks to inspect items, a technique which expends tremendous time and energy to mark defectives.
Che-Hsuan Huang, Pei-Hsuan Lee, Shu-Hsiu Chang, Hao-Chung Kuo, Chia-Wei Sun, Chien-Chung Lin, Chun-Lin Tsai, Xinke Liu   +7 more
doaj   +1 more source

Predicting psychosis in at-risk patients using abnormal neural oscillations and synchrony in conjunctions with machine learning algorithms [PDF]

, 2016
In the last 20 years, there has been a marked increase in interest in the early detection and treatment of psychosis. Despite the various potential “prodromes” that have been identified and have helped to increase the accuracy in the detection of persons
Ramyead, Avinash
core   +1 more source

How abnormal is the behaviour of captive, zoo-living, chimpanzees? [PDF]

, 2011
Background. Many captive chimpanzees (Pan troglodytes) show a variety of serious behavioural abnormalities, some of which have been considered as possible signs of compromised mental health.
Newton-Fisher, Nicholas E., Birkett Lucy P., Birkett, Lucy P., Nicholas E Newton-Fisher, Newton-Fisher Nicholas E., Nicholas E. Newton-Fisher, Lucy P Birkett, Lucy P. Birkett   +7 more
core   +2 more sources

Automated detection of abnormal heart sound signals using Fano-factor constrained tunable quality wavelet transform

, 2021
Manual interpretation of heart sounds is insensitive and prone to subjectivity. Automated diagnosis systems incorporating artificial intelligence and advanced signal processing tools can potentially increase the sensitivity of disease detection and ...
Acharya, U. Rajendra, Sawant, Nidhi Kalidas, Nesaragi, Naimahmed, Patidar, Shivnarayan   +3 more
core   +1 more source