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Data mining and diagnosis
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Ebook "Methods and applications of artificial intelligence" includes content: Invited talks, information management, machine learning, data mining and diagnosis, knowledge representation and search, natural language processing, ai in power system operation and fault diagnosis, intelligent techniques in image processing, intelligent virtual environments.
563p
haojiubujain07
20-09-2023
3
3
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Data clustering tools can uncover new knowledge to be used in cancer diagnosis and treatment. In this study, we proposed a novel method to cluster records of a relation. First, we designed an algorithm that calculates the similarity between record pairs of the relation, and then this similarity measure was used to generate a network corresponding to the relation.
17p
viannee
02-08-2023
8
3
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Despite increased risk for negative outcomes, cognitive impairment (CI) is greatly under-detected during hospitalization. While automated EHR-based phenotypes have potential to improve recognition of CI, they are hindered by widespread under-diagnosis of underlying etiologies such as dementia—limiting the utility of more precise structured data elements.
7p
visteverogers
24-06-2023
3
2
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Integrating data from multidisciplinary Management of Malignant Pleural Mesothelioma: A cohort study
Malignant pleural mesothelioma (MPM) is a rare and aggressive malignancy that most commonly affects the pleural layers. The main goal of this project is to define and describe an integrated profile for each MPM case at diagnosis by using data mining and partition analysis.
9p
vimahuateng
26-11-2021
5
1
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Advances in medical technology have allowed for customized prognosis, diagnosis, and treatment regimens that utilize multiple heterogeneous data sources. Multiple kernel learning (MKL) is well suited for the integration of multiple high throughput data sources.
7p
vicolorado2711
23-10-2020
6
1
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About 90% of patients who have diabetes suffer from Type 2 DM (T2DM). Many studies suggest using the significant role of lncRNAs to improve the diagnosis of T2DM. Machine learning and Data Mining techniques are tools that can improve the analysis and interpretation or extraction of knowledge from the data.
13p
vicolorado2711
22-10-2020
28
0
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This paper investigates 168 articles associated with the implementation of data mining for diagnosing such diseases. The study concentrates on 85 selected papers which have received more attention between 1997 and 2018.
24p
kelseynguyen
28-05-2020
15
1
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Dengue fever is a re-emerging viral disease commonly occurring in tropical and subtropical areas. The clinical features and abnormal laboratory test results of dengue infection are similar to those of other febrile illnesses; hence, its accurate and timely diagnosis for providing appropriate treatment is difficult.
9p
vidr2711
19-02-2020
13
1
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Decision support systems (DSS) have evolved over the past four decades from theoretical concepts into real world computerized applications. DSS architecture contains three key components: a knowledge base, a computerized model, and a user interface. DSS simulate cognitive decision-making functions of humans based on artificial intelligence methodologies (including expert systems, data mining, machine learning, connectionism, logistical reasoning, etc.) in order to perform decision support functions.
420p
bi_bi1
11-07-2012
123
32
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