Results 31 to 40 of about 18,044,334 (281)

Probability of major depression diagnostic classification using semi-structured versus fully structured diagnostic interviews [PDF]

, 2018
Background: Different diagnostic interviews are used as reference standards for major depression classification in research. Semi-structured interviews involve clinical judgement, whereas fully structured interviews are completely scripted.
Levis, Alexander W., Benedetti, Andrea, Levis, Brooke, Riehm, Kira E., Saadat, Nazanin   +4 more
core   +1 more source

Early detection of cardiovascular autonomic neuropathy: A multi-class classification model based on feature selection and deep learning feature fusion

Information Fusion, 2022
The conventional diagnostic process and tools of cardiovascular autonomic neuropathy (CAN) can easily identify the two main categories of the condition: severe/definite CAN and normal/healthy without CAN.
M. R. Hassan, S. Huda, M. M. Hassan, J. Abawajy, Ahmed Alsanad, G. Fortino   +5 more
semanticscholar   +1 more source

Diagnostic Classification Models for Ordinal Item Responses

Frontiers in Psychology, 2018
The purpose of this study is to develop and evaluate two diagnostic classification models (DCMs) for scoring ordinal item data. We first applied the proposed models to an operational dataset and compared their performance to an epitome of current ...
Ren Liu, Zhehan Jiang
doaj   +1 more source

FUZZY DIAGNOSTİCS OF SOİLS ACCORDİNG TO THE WORLD REFERENCE BASE FOR SOİL RESOURCES

Сучасні інформаційні системи, 2020
Soil classification remains one of the most controversial topics in the world soil science because of differences in the principles underlying it. As of today, many countries have developed and use their own national classifications.
Samira Afrasiyab Hasanova, Adalat Bakhtiyar Pashayev, Elhan Nariman Sabziev   +2 more
doaj   +1 more source

Deep learning‐based detection and classification of lumbar disc herniation on magnetic resonance images

JOR Spine, 2023
Background The severity assessment of lumbar disc herniation (LDH) on MR images is crucial for selecting suitable surgical candidates. However, the interpretation of MR images is time‐consuming and requires repetitive work. This study aims to develop and
Weicong Zhang, Ziyang Chen, Zhihai Su, Zhengyan Wang, Jinjin Hai, Chengjie Huang, Yuhan Wang, Bin Yan, Hai Lu   +8 more
doaj   +1 more source

Poisson Diagnostic Classification Models: A Framework and an Exploratory Example

Educational and Psychological Measurement, 2021
Assessments with a large amount of small, similar, or often repetitive tasks are being used in educational, neurocognitive, and psychological contexts. For example, respondents are asked to recognize numbers or letters from a large pool of those and the ...
Ren Liu, Haiyan Liu, Dexin Shi, Zhehan Jiang   +3 more
semanticscholar   +1 more source

Hybrid AI-assistive diagnostic model permits rapid TBS classification of cervical liquid-based thin-layer cell smears

Nature Communications, 2021
Technical advancements significantly improve earlier diagnosis of cervical cancer, but accurate diagnosis is still difficult due to various factors. We develop an artificial intelligence assistive diagnostic solution, AIATBS, to improve cervical liquid ...
Xiaohui Zhu, Xiao-Ming Li, K. Ong, Wenli Zhang, Wencai Li, Long-Jie Li, David M. Young, Yonghui Su, B. Shang, Ling-Gan Peng, Wei Xiong, Yunke Liu, W. Liao, Jingjing Xu, Feifei Wang, Qing Liao, Sheng-Nan Li, Min Liao, Yu Li, L. Rao, Jinquan Lin, J. Shi, Ze-Jun You, Wen-Long Zhong, Xinrong Liang, Hao Han, Yan Zhang, N. Tang, Aixia Hu, Hong-Yi Gao, Zhiqiang Cheng, L. Liang, Weimiao Yu, Yan-Qing Ding   +33 more
semanticscholar   +1 more source

Artificial neural network with Taguchi method for robust classification model to improve classification accuracy of breast cancer

PeerJ Computer Science, 2021
Artificial neural networks (ANN) perform well in real-world classification problems. In this paper, a robust classification model using ANN was constructed to enhance the accuracy of breast cancer classification.
Md Akizur Rahman, R. C. Muniyandi, Dheeb Albashish, Md. Mokhlesur Rahman, Opeyemi Lateef Usman   +4 more
semanticscholar   +1 more source

Lenke Classification Report Generation Method for Scoliosis Based on Spatial and Context Dual Attention

Applied Sciences, 2023
The scoliosis report is a diagnosis made by the clinician looking at X-ray images of the spine. However, with numerous images, writing the report can be time-consuming and error-prone.
Yu Tang, Zhiqin He, Qinmu Wu, Xiao Wang, Yuhang Wang   +4 more
doaj   +1 more source

Differential Item Functioning in Diagnostic Classification Models

, 2019
Assessment of differential item functioning (DIF) in diagnostic classification models (DCMs) has begun to attract research attention. In previous studies, authors found that DIF detection in DCMs appeared to be very powerful even when most or all the ...
Qiu, X, Wang, W, Li, X
core   +1 more source