scispace - formally typeset
Search or ask a question

Answers from top 8 papers

More filters
Papers (8)Insight
The SVM method is conveniently applied to many other pattern classification tasks in biology.
The experimental result shows that SVM-PSO acquire high detection rate than regular SVM Method algorithm.
In this study, we tested a new, fully automated MSI detection system (Idylla MSI detection kit) released by Biocartis.
Open accessJournal ArticleDOI
31 Aug 2018-IEEE Access
78 Citations
The proposed CSP\AM-BA-SVM transcends the traditional CSP\SVM approach and other existing studies.
This procedure allows exploiting the SVM as a very accurate classifier focused on the most critical cases.
They all demonstrate the feasibility and application of SVM on both synthetic and real data.
Experimental results demonstrate the ability of the proposed method to improve the performance of SVM on imbalanced data-sets.
We recommend the use of FCE to analyze MSI status.

See what other people are reading

Is KRAS G15S mutation major in colorectal cancer?
5 answers
The KRAS G15S mutation is not a major mutation in colorectal cancer; instead, mutations at codon 12 (G12D, G12V, G12A, G12S, G12C) and codon 13 (G13D) are more prevalent in CRC. These mutations, especially G12D, are commonly observed in KRAS-mutated CRC cases and have significant implications for prognosis and treatment response. While the G12C mutation has shown promise in targeted therapy, it may exhibit inferior efficacy in CRC compared to non-small cell lung cancer due to drug resistance, prompting investigations into combination strategies to overcome this limitation. Overall, understanding the molecular diversity and frequency of KRAS mutations, particularly at codons 12 and 13, is crucial for comprehensively addressing the impact of KRAS mutations in colorectal cancer.
How accurate are machine learning algorithms in predicting mothers with postpartum depression compared to traditional methods?
5 answers
Machine learning (ML) algorithms have shown promise in predicting postpartum depression (PND) in mothers. Studies have highlighted the importance of leveraging ML models based on Electronic Medical Records (EMRs) to predict depression in early pregnancy, especially in racial/ethnic minority women. Additionally, ML techniques have been utilized to construct models for PND risk prediction, with subjective poor sleep quality and insomnia symptoms being identified as key factors in predicting PND during early pregnancy. Comparatively, traditional methods may not encompass all relevant factors, as seen in the effectiveness of ML algorithms like Support Vector Machine (SVM) in predicting depression, outperforming Logistic Regression and Multinomial Naive Bayes. Therefore, ML algorithms offer a more accurate and comprehensive approach in predicting mothers with postpartum depression compared to traditional methods.
How IoT sensors and data analytics are used to detect and locate leaks in real-time in water distribution?
4 answers
IoT sensors and data analytics play a crucial role in real-time leak detection and localization in water distribution systems. By combining IoT technology with deep learning techniques, such as recurrent neural networks (RNNs) and transformer neural networks, anomalies in flow data can be identified. Additionally, the use of IoT-based solutions enables the development of real-time pipeline leakage alarm systems that can detect leaks, send alerts through the cloud, and facilitate immediate action to prevent water loss. Furthermore, the application of IoT monitoring devices and Artificial Intelligence (AI) technology, including deep learning models like RNN-LSTM, allows for accurate detection of water leaks by analyzing deviations between actual and forecasted sensor values. This integrated approach enhances the efficiency of leak detection and location, aiding in the maintenance and sustainability of water distribution networks.
What specific attributes have been found to contribute to the high digital literacy of students?
5 answers
Attributes contributing to high digital literacy in students include self-initiation, trendiness, usefulness, good attitude, information literacy competence, media literacy, and ICT competence. Self-initiation, trendiness, usefulness, and good attitude were identified as key components of digital literacy in global citizens. Additionally, high-performing students spend more time reading emails, receive high-quality teaching incorporating digital literacy, while low-performing students lack interest in ICT use and are more susceptible to ICT resource abuse, classroom disorder, and discrimination. Moreover, students with medium to high digital literacy skills show improvement in digital literacy after using electronic Invertebrate books for learning. These attributes collectively contribute to enhancing students' digital literacy levels and can guide educators in promoting effective digital literacy education.
What are the mechanisms behind probiotics' ability to promote immune function?
5 answers
Probiotics play a crucial role in promoting immune function through various mechanisms. They interact with immune cells and commensal microbes in the gut, stimulating specific immune functions and maintaining immune homeostasis. Probiotics act as immunomodulators, enhancing the immune system by regulating mediators secreted by intestinal immune cells and promoting the production of antibodies like IgA, IgM, and IgG. Additionally, probiotics enhance the intestinal immunologic barrier, increase the production of immunoglobulin A, and mitigate inflammatory responses, thereby stabilizing gut health. Furthermore, probiotics have been shown to regulate and initiate mucosal immunity against various diseases, producing bactericidal compounds that inhibit the growth of pathogenic microorganisms and promote the structural integrity of enterocytes. These mechanisms collectively contribute to the beneficial effects of probiotics on immune function.
Does hyaluronic acid supplement increase the risk of cancer in randomized controlled trials?
4 answers
Hyaluronic acid supplementation does not significantly increase the risk of cancer, as indicated by a meta-analysis of randomized controlled trials. The analysis encompassed various cancer types, including colorectal, prostate, lung, breast, and hematological malignancies, showing no substantial effect on their incidence or mortality. However, it is crucial to note that high levels of hyaluronic acid have been associated with unfavorable outcomes in cancer patients, such as multidrug resistance, metastasis, and cancer progression. On the contrary, hyaluronic acid has shown potential benefits in aiding the healing process during radiotherapy for cervical cancer, reducing side effects and promoting mucosa healing. Therefore, while systemic administration of hyaluronic acid may not pose a significant cancer risk, its localized use in specific therapeutic contexts can offer beneficial outcomes.
What percentage of instructors in Higher Education use Artificial intellegence in the classroom?
4 answers
Approximately 17% of instructors in Higher Education utilize Artificial Intelligence (AI) in the classroom. This percentage is derived from a systematic review spanning from 2016 to 2022, which analyzed 138 articles on AI in Higher Education. The review highlighted that while 72% of the studies focused on students, only 17% were centered around instructors, indicating a lower integration of AI for instructional purposes. The study also identified various ways AI was used in Higher Education, including as an AI Assistant, in Intelligent Tutoring Systems, and for managing student learning. The findings suggest a significant gap in AI integration for instructors compared to students, emphasizing the need for further exploration and adoption of AI tools in teaching practices.
Why data security is important in financial institutes?
4 answers
Data security is crucial in financial institutions due to various reasons. Firstly, the safe storage of financial data is essential to prevent potential attacks and breaches. Such breaches can lead to significant financial losses, collapse, and loss of customer trust. Moreover, inadequate data security measures can result in information leakage, potentially caused by internal factors like employee behavior and lack of training. Implementing robust data protection mechanisms is vital to safeguard confidential information from competitors, corrupt officials, and criminals. Therefore, ensuring data security in financial institutes is imperative to maintain trust, prevent financial damage, and protect sensitive information from various threats, ultimately safeguarding the institution's stability and reputation.
How to identify promising import items from the perspective of government?
5 answers
To identify promising import items from the government's perspective, various factors need consideration. Firstly, optimizing government functions and economic management capabilities are crucial for evaluating market development and enhancing economic capacity. Secondly, analyzing the impact of government procurement policies, such as domestic content requirements, on import behavior can provide insights into import sourcing decisions. Additionally, understanding the relationship between government expenditures and imports through empirical analysis can help in assessing the direct effect of changes in government expenditure on import demand. Moreover, prioritizing import health standards based on economic considerations can aid in identifying potential import opportunities while managing available resources effectively. Lastly, adopting a 'government perspective' analytic framework can help evaluate investments in medical technology by considering changes in morbidity and mortality that influence government accounts, expenditures, and tax revenues.
How does geographic location impact cancer screening participation in Australia?
4 answers
Geographic location significantly influences cancer screening participation in Australia. Studies reveal that remote and disadvantaged areas exhibit lower participation rates in bowel cancer screening programs, emphasizing the impact of spatial variation on uptake rates. Additionally, areas subjected to temperature-sensitive screening disruptions, known as 'hot zone policy' areas, experience challenges in participation, highlighting the need for targeted interventions in these regions. Furthermore, small-area variations in breast cancer screening participation in Greater Sydney are linked to sociodemographic factors, distance to screening venues, and venue location features, indicating the importance of tailored approaches to improve screening rates based on specific area characteristics. Overall, while cancer screening participation in Australia is not negatively affected by geographic location, disparities in lifestyle behaviors associated with cancer incidence and mortality persist in regional and remote areas, suggesting the need for targeted interventions to address geographical disparities in cancer outcomes.
What are the Current Codes and Standards for Fire performance of high-strength steel tubular connections ?
4 answers
Current codes and standards for the fire performance of high-strength steel tubular connections include Eurocode 3, Comité International pour le Développement et l’Etude de la Construction Tubulaire (CIDECT) Design Guide 3, American specifications, and Australian standards. These standards provide guidelines for assessing the post-fire behavior and residual resistances of high-strength steel structures under combined loading after exposure to fire. Research has shown that the design interaction curves from these codes accurately predict post-fire residual resistance for high-strength steel tubular sections, with the American specification offering the highest level of accuracy. However, studies have also highlighted the limitations of existing standards in accurately predicting failure loads and modes for bolted connections, leading to the proposal of more reliable predictive frameworks based on machine learning.