Prediction and verification of the effect of psoriasis on coronary heart disease based on artificial neural network

Li, An-hai; Qi, Meng-meng; Li, Wenwen; Yu, Xiao-qian; Yang, Lili; Wang, Jun; Li, Ding

doi:10.1016/j.heliyon.2022.e10677

Cited by 9 publications

(9 citation statements)

References 31 publications

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“…After ingesting food, the crevices in the crown of deciduous teeth are prone to retain plaque and food debris, which can significantly increase the incidence of caries in children's deciduous teeth [18]. According to a systematic review of 2410 studies, the prevalence of early childhood dental caries ranged from 23% to 90%, with most of them exceeding 50% [19]. After the decay of primary molars, there is a significant secondary pain sensation caused by stimulation such as sweetness and sourness, cold and heat.…”

Section: Discussionmentioning

confidence: 99%

Application of mineral trioxide aggregate pulpotomy in the treatment of early pulpitis of primary molars

Tao

2024

Am J Transl Res

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Objective: To evaluate the effectiveness of mineral trioxide aggregate (MTA) on pulpotomy in primary molars. Methods: Two hundred and sixty-three cases (310 teeth) of children with early pulpitis of primary molars admitted between February 2019 to February 2022 were enrolled, and their clinical data were retrospectively analyzed. Of them, 130 cases with 155 teeth treated with root canal treatment were set as the control group (CG) and 133 cases with 155 teeth receiving MTA pulpotomy were set as the observation group (OG). Clinical data such as efficacy evaluation, inflammatory factor levels, postoperative adverse reactions, and quality of life (QoL) were compared. Results: After surgery, the overall response rate in the OG was statistically higher than that in the CG, while the levels of inflammatory factors in the OG were significantly lower than those in the CG (all P<0.05). Moreover, the total incidence of complications was significantly lower in OG at 3, 6, and 12 months after surgery (P=0.018, P=0.007, P=0.015, respectively). The QoL of the two groups differed insignificantly before surgery; however, after the treatment, the QoL in OG was significantly higher than those in the CG at 3, 6, and 12 months after surgery (P=0.037, P=0.012, P=0.028, respectively). Moreover, the teeth location and treatment method were independent factors of efficacy (P=0.047, P=0.001, respectively). Conclusions: MTA pulpotomy outperformed root canal treatment for superior efficacy in children with early pulpitis of primary molars, with a positive effect on improving QoL, and patient prognosis.

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Section: Discussionmentioning

confidence: 99%

Application of mineral trioxide aggregate pulpotomy in the treatment of early pulpitis of primary molars

Tao

2024

Am J Transl Res

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“…ANNs are also heavily used clinically for the diagnosis, prognosis and prediction of concurrent evidence of disease 39–41 . Our group has previously experimented with ANNs to predict cardiovascular complications in psoriasis patients based on the least expensive laboratory tests and obtained an accuracy of more than 0.79 42 . In this study, we constructed three ANN models based on differentially expressed genes and pathomics signatures.…”

Section: Discussionmentioning

confidence: 99%

“…[39][40][41] Our group has previously experimented with ANNs to predict cardiovascular complications in psoriasis patients based on the least expensive laboratory tests and obtained an accuracy of more than 0.79. 42 In this study, we constructed three ANN models based on differentially expressed genes and pathomics signatures. Interestingly, the accuracy of all three ANN models was higher than 0.97, indicating that ANNs can effectively distinguish the alive group and dead group based on both differentially expressed genes and pathomics signatures.…”

Section: Discussionmentioning

confidence: 99%

Exploring and validating the prognostic value of pathomics signatures and genomics in patients with cutaneous melanoma based on bioinformatics and deep learning

Li,

Yu,

Tian

et al. 2023

Medical Physics

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BackgroundCutaneous melanoma (CM) is the most common malignant tumor of the skin. Our study aimed to investigate the prognostic value of pathomics signatures for CM by combining pathomics and genomics.PurposeThe purpose of this study was to explore the potential application value of pathomics signatures.MethodsPathology full scans, clinical information, and genomics data for CM patients were downloaded from The Cancer Genome Atlas (TCGA) database. Exploratory data analysis (EDA) was used to visualize patient characteristics. Genes related to a poorer prognosis were screened through differential analysis. Survival analysis was performed to assess the prognostic value of gene and pathomics signatures. Artificial neural network (ANN) models predicted prognosis using signatures and genes. Correlation analysis was used to explore signature‐gene links.ResultsThe clinical traits for 468 CM samples and the genomic data and pathology images for 471 CM samples were obtained from the TCGA database. The EDA results combined with multiple machine learning (ML) models suggested that the top 5 clinical traits in terms of importance were age, biopsy site, T stage, N stage and overall disease stage, and the eight ML models had a precision lower than 0.56. A total of 60 differentially expressed genes were obtained by comparing sequencing data. A total of 413 available quantitative signatures of each pathomics image were obtained with CellProfile software. The precision of the binary classification model based on pathomics signatures was 0.99, with a loss value of 1.7119e‐04. The precision of the binary classification model based on differentially expressed genes was 0.98, with a loss value of 0.1101. The precision of the binary classification model based on pathomics signatures and differentially expressed genes was 0.97, with a loss value of 0.2088. The survival analyses showed that the survival rate of the high‐risk group based on gene expression and pathomics signatures was significantly lower than that of the low‐risk group. A total of 222 pathomics signatures and 51 differentially expressed genes were analyzed for survival with p‐values of less than 0.05. There was a certain correlation between some pathomics signatures and differential gene expression involving ANO2, LINC00158, NDNF, ADAMTS15, and ADGRB3, etc.ConclusionThis study evaluated the prognostic significance of pathomics signatures and differentially expressed genes in CM patients. Three ANN models were developed, and all achieved accuracy rates higher than 97%. Specifically, the pathomics signature‐based ANN model maintained a remarkable accuracy of 99%. These findings highlight the CellProfile + ANN model as an excellent choice for prognostic prediction in CM patients. Furthermore, our correlation analysis experimentally demonstrated a preliminary link between disease quantification and qualitative changes. Among various features, including M stage and treatments received, special attention should be given to age, biopsy site, T stage, N stage, and overall disease stage in CM patients.

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“…The design of MLPs often involves trial-and-error, and various techniques have been suggested to accomplish this objective, including methods based on hill-climbing algorithms, which iteratively refine the initial architecture to reduce an internal error metric [32][33][34]. In recent years, ANNs have demonstrated success across diverse domains, spanning environmental sciences [35][36][37][38], healthcare [39][40][41], or image reconstruction [42,43], just to name a few.…”

Section: Introductionmentioning

confidence: 99%

Evaluating the Perceptions of the Portuguese Population on the Economic Impacts of Biotechnology-Based Technologies

Vicente,

Neves,

Figueiredo

2024

Sustainability

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Biotechnology-based technologies have the potential to act as catalysts for economic development by fostering innovation, creating new job opportunities, stimulating industry growth, and promoting environmental sustainability. This study aims to evaluate the perceptions of the Portuguese population regarding the economic impacts of using these technologies in areas such as the environment, energy resources, agriculture, industry, and health. For this purpose, a questionnaire was developed and distributed in Portugal to a sample consisting of 559 individuals of both genders, aged between 16 and 82 years old. The findings suggest that, although there is a higher perception of the economic impact of these technologies, participants reveal difficulties in perceiving impacts on health, industry, and energy resources. Moreover, metrics for quantifying participants’ overall perception and improvement potential are provided. These metrics are particularly important as they enable the formation of participant groups with similar characteristics, facilitating the development of tailored intervention strategies. Additionally, a model based on artificial neural networks was presented to predict the perceptions of the Portuguese population regarding the economic impacts of using the mentioned technologies. The proposed model performs well, achieving accuracy rates of 93.0% for the training set and 90.9% for the test set.

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Prediction and verification of the effect of psoriasis on coronary heart disease based on artificial neural network

Cited by 9 publications

References 31 publications

Application of mineral trioxide aggregate pulpotomy in the treatment of early pulpitis of primary molars

Application of mineral trioxide aggregate pulpotomy in the treatment of early pulpitis of primary molars

Exploring and validating the prognostic value of pathomics signatures and genomics in patients with cutaneous melanoma based on bioinformatics and deep learning

Evaluating the Perceptions of the Portuguese Population on the Economic Impacts of Biotechnology-Based Technologies

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