scholarly journals Clinical data mining on network of symptom and index and correlation of tongue-pulse data in fatigue population

2020 ◽  
Author(s):  
yulin Shi ◽  
Xiaojuan Hu ◽  
Cui Ji ◽  
Longtao Cui ◽  
Jingbin Huang ◽  
...  
Keyword(s):  
Correlation Analysis ◽  
Complex Network ◽  
Canonical Correlation ◽  
Network Technology ◽  
Clinical Practices ◽  
Symptom Index ◽  
The Core ◽  
Core Symptom ◽  
Objective Evidence ◽  
Core Symptoms

Abstract BackgroundFatigue is a kind of non-specific symptom, which is widely found in sub-health and various diseases. It is closely related to people's physical and mental health.Due to lack of objective evidence, it is often neglected in clinical diagnosis,especially in the early stage of disease.A large number of clinical practices and studies have shown that tongue and pulse image are reflection of overall state of the body.Establishing an objective evaluation method for diagnosis of disease fatigue and non-disease fatigue by combining clinical symptom and index and tongue and pulse data is of great significance for timely and effective clinical treatment.MethodsIn this study, 2362 physical examination subjects were divided into healthy control, the group of sub-health fatigue and disease fatigue ,used complex network technology to screen out the core symptoms and western medicine indexes of fatigue,respectively. Constructed the core symptom network and the core symptom-index network. At the same time, used canonical correlation analysis to get the associated relationship of tongue and pulse, and analyzed the characteristic of the tongue and pulse data.ResultsThere were some similarities between the core symptoms of sub-health fatigue and disease fatigue,as well as differences. Symptom-index associated analysis of disease fatigue showed that the core indexes in the group of disease fatigue group had a significant canonical correlation, with the canonical correlation coefficient was 0.42 (P < 0.05). There was no statistically significant correlation between the tongue and pulse data in sub-health fatigue group.ConclusionsThe complex network technology was suitable for the correlation analysis of symptoms and indexes in the fatigue population, and the tongue and pulse objective data had certain diagnostic contribution to the classification of fatigue population.Name of the registry: Chinese Clinical Trial RegistryTrial registration number: ChiCTR-IOR-15006502; ChiCTR1900026008Date of registration: Jun. 04th, 2015URL of trial registry record:http://www.chictr.org.cn/showprojen.aspx?proj=11119;http://www.chictr.org.cn/edit.aspx?pid=38828&htm=4 (This is a retrospective registration)

scholarly journals Clinical data mining on network of symptom and index and correlation of tongue-pulse data in fatigue population

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Yulin Shi ◽  
Xiaojuan Hu ◽  
Ji Cui ◽  
Longtao Cui ◽  
Jingbin Huang ◽  
...  
Keyword(s):  
Correlation Analysis ◽  
Complex Network ◽  
Canonical Correlation ◽  
Network Technology ◽  
Clinical Practices ◽  
Symptom Index ◽  
Specific Symptom ◽  
Node Importance ◽  
Core Symptom ◽  
Core Symptoms

Abstract Background Fatigue is a kind of non-specific symptom, which occurs widely in sub-health and various diseases. It is closely related to people's physical and mental health. Due to the lack of objective diagnostic criteria, it is often neglected in clinical diagnosis, especially in the early stage of disease. Many clinical practices and researches have shown that tongue and pulse conditions reflect the body's overall state. Establishing an objective evaluation method for diagnosing disease fatigue and non-disease fatigue by combining clinical symptom, index, and tongue and pulse data is of great significance for clinical treatment timely and effectively. Methods In this study, 2632 physical examination population were divided into healthy controls, sub-health fatigue group, and disease fatigue group. Complex network technology was used to screen out core symptoms and Western medicine indexes of sub-health fatigue and disease fatigue population. Pajek software was used to construct core symptom/index network and core symptom-index combined network. Simultaneously, canonical correlation analysis was used to analyze the objective tongue and pulse data between the two groups of fatigue population and analyze the distribution of tongue and pulse data. Results Some similarities were found in the core symptoms of sub-health fatigue and disease fatigue population, but with different node importance. The node-importance difference indicated that the diagnostic contribution rate of the same symptom to the two groups was different. The canonical correlation coefficient of tongue and pulse data in the disease fatigue group was 0.42 (P < 0.05), on the contrast, correlation analysis of tongue and pulse in the sub-health fatigue group showed no statistical significance. Conclusions The complex network technology was suitable for correlation analysis of symptoms and indexes in fatigue population, and tongue and pulse data had a certain diagnostic contribution to the classification of fatigue population.

scholarly journals Clinical data mining on network of symptom and index and correlation of tongue-pulse data in fatigue population

2021 ◽  
Author(s):  
yulin Shi ◽  
Xiaojuan Hu ◽  
Cui Ji ◽  
Longtao Cui ◽  
Jingbin Huang ◽  
...  
Keyword(s):  
Correlation Analysis ◽  
Complex Network ◽  
Canonical Correlation ◽  
Disease Stage ◽  
Network Technology ◽  
Trial Registry ◽  
Clinical Practices ◽  
The Core ◽  
Node Importance ◽  
Core Symptoms

Abstract Background: Fatigue is a kind of non-specific symptom, which occurs widely in sub-health and various diseases. It is closely related to people's physical and mental health. Due to the lack of objective diagnosis criteria, it is often neglected in clinical diagnosis, especially in the early disease stage. Many clinical practices and research have shown that tongue and pulse conditions reflect the body's overall state. Establishing an objective evaluation method for diagnosing disease fatigue and non-disease fatigue by combining clinical symptoms, indexes, and tongue & pulse data is of great significance for timely and effective clinical treatment.Methods: In this study, 2632 physical examination populations were divided into healthy controls, sub-health fatigue group, and disease fatigue group. Complex network technology was used to screen out the core symptoms and Western medicine indexes of sub-health fatigue and disease fatigue populations. Pajek software was used to construct the core symptoms/indexes network and core symptoms-indexes combined network. Simultaneously, the canonical correlation analysis method was used to analyze the objective tongue & pulse data between the two groups of fatigue population and analyze the distribution of tongue & pulse data.Results: Some similarities were found in the core symptoms of sub-health fatigue and disease fatigue population, but with different node importance. The node-importance difference indicated that the diagnostic contribution rate of the same symptom to the two groups was different. The canonical correlation coefficient of tongue & pulse data in the disease fatigue group was 0.42 (P < 0.05). On the contrast, correlation analysis of tongue & pulse in the sub-health fatigue group showed no statistical significance. Conclusions: The complex network technology was suitable for the correlation analysis of symptoms and indexes in the fatigue population, and the tongue & pulse data had a certain diagnostic contribution to the classification of the fatigue population.Name of the registry: Chinese Clinical Trial RegistryTrial registration number: ChiCTR-IOR-15006502; ChiCTR1900026008Date of registration: Jun. 04th, 2015URL of trial registry record: http://www.chictr.org.cn/showprojen.aspx?proj=11119;http://www.chictr.org.cn/edit.aspx?pid=38828&htm=4 (This is a retrospective registration)

scholarly journals Parkinsonism and dysautonomia with anti-CV2/CRMP5 associated paraneoplastic neurological syndromes mimicking multiple system atrophy: a case report

BMC Neurology ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Jia Song ◽  
Ying Zhang ◽  
Yue Lang ◽  
Yi-Heng Wang ◽  
Jie Shao ◽  
...  
Keyword(s):  
Multiple System Atrophy ◽  
Case Presentation ◽  
Paraneoplastic Neurological Syndromes ◽  
Onconeural Antibodies ◽  
The Core ◽  
Core Symptom ◽  
Pet Ct ◽  
Controllable Factors ◽  
Spectrum Disorders ◽  
Core Symptoms

Abstract Background Paraneoplastic neurological syndromes (PNSs) are broad-spectrum disorders that can affect any part of the nervous system varying in core symptoms. Onconeural antibodies, including Hu, Yo, Ri, anti-CV2, amphiphysin, Ma2, and Tr are well-characterized and commonly used for the diagnosis of definite PNS. Generally, anti-CV2 antibodies have usually been associated with cerebellar ataxia, chorea, peripheral and autonomic neuropathies, myelopathy, optic neuritis, and retinitis. However, Parkinsonism has not been reported as the core symptom in patients with anti-CV2 antibodies. Case presentation We report a patient with anti-CV2 antibody manifested as Parkinsonism and autonomic dysfunction, which may lead to the diagnosis of multiple system atrophy with predominant Parkinsonism (MSA-P). A lumbar puncture examination was undergone to find a positive anti-CV2 antibody in cerebrospinal fluid. PET-CT showed no tumor. Immunotherapy was adopted and the symptoms were relieved for 5 months. However, with no evidence of tumor, he died after 8 months. Conclusions Our findings indicate that PNS with anti-CV2 antibody can be shown as MSA-P mimic. Considering that MSA is a neurodegenerative disease with a poor prognosis, screening for other treatable or controllable factors like PNS presented in this case is necessary when encountering a rapid progressive MSA-mimic patient.

Relationships Between Positive Human Traits and PERMA (Positive Emotion, Engagement, Relationships, Meaning, and Accomplishments) in Student Veterans With and Without Disabilities: A Canonical Correlation Analysis

2021 ◽  
Vol 35 (3) ◽  
pp. 238-247
Author(s):  
Emre Umucu ◽  
Beatrice Lee ◽  
Kanako Iwanaga ◽  
Kristin Kosyluk ◽  
John Blake ◽  
...  
Keyword(s):  
Correlation Analysis ◽  
Canonical Correlation Analysis ◽  
Canonical Correlation ◽  
Character Strengths ◽  
Well Being ◽  
Building Blocks ◽  
The United States ◽  
Student Veterans ◽  
The Core ◽  
Core Elements

PurposeWe explored the relationships between positive human traits and positive emotions, engagement, relationships, meaning, and achievement (PERMA) the core elements for Seligman's model of happiness and well-being.MethodTwo hundred and five student veterans (147 males and 58 females; 80 with service-related disability) were recruited from several colleges and universities across the United States. Participants completed positive human traits measures on resilience, hope, optimism, attachment, and coping, along with the PERMA Profiler that measures the five core elements of the well-being theory. Correlational techniques and canonical correlation analysis were computed to examine the canonical relationship between positive human traits and PERMA variables.ResultsOverall, the positive human traits set accounted for 37% of the variance in the PERMA set, whereas the PERMA set accounted for 51% of the variance in the positive human traits set.ConclusionsThe research findings suggest that human traits can be conceptualized as building blocks for PERMA, and PERMA are the core elements for happiness and well-being. Importantly, student veterans with disabilities had significantly lower resilience, secure attachment and PERMA scores. Positive psychology interventions to help student veterans, especially students with service-related disabilities, develop character strengths, and PERMA could improve college life adjustment and goal persistence of student veterans.

Analysis of Maximum Expiratory Flow Volume Curves Using Canonical Correlation Analysis

1985 ◽  
Vol 24 (02) ◽  
pp. 91-100 ◽  
Author(s):  
W. van Pelt ◽  
Ph. H. Quanjer ◽  
M. E. Wise ◽  
E. van der Burg ◽  
R. van der Lende
Keyword(s):  
Correlation Analysis ◽  
Canonical Correlation Analysis ◽  
Canonical Correlation ◽  
Flow Volume ◽  
Non Linear ◽  
Maximum Expiratory Flow ◽  
Expiratory Flow ◽  
Relationship Of ◽  
The Relationship ◽  
Age And Sex

SummaryAs part of a population study on chronic lung disease in the Netherlands, an investigation is made of the relationship of both age and sex with indices describing the maximum expiratory flow-volume (MEFV) curve. To determine the relationship, non-linear canonical correlation was used as realized in the computer program CANALS, a combination of ordinary canonical correlation analysis (CCA) and non-linear transformations of the variables. This method enhances the generality of the relationship to be found and has the advantage of showing the relative importance of categories or ranges within a variable with respect to that relationship. The above is exemplified by describing the relationship of age and sex with variables concerning respiratory symptoms and smoking habits. The analysis of age and sex with MEFV curve indices shows that non-linear canonical correlation analysis is an efficient tool in analysing size and shape of the MEFV curve and can be used to derive parameters concerning the whole curve.

Disorder-specific alterations of tactile sensitivity in neurodevelopmental disorders

2020 ◽  
Author(s):  
Jason He ◽  
Ericka Wodka ◽  
Mark Tommerdahl ◽  
Richard Edden ◽  
Mark Mikkelsen ◽  
...  
Keyword(s):  
Clinical Symptoms ◽  
Autism Spectrum ◽  
Typically Developing ◽  
Hyperactivity Disorder ◽  
The Core ◽  
Children With Asd ◽  
Tactile Detection ◽  
Spectrum Disorders ◽  
Sensory Processes ◽  
Core Symptoms

Alterations of tactile processing have long been identified in autism spectrum disorders (ASD) and attention-deficit/hyperactivity disorder (ADHD). However, the extent to which these alterations are disorder-specific, rather than disorder-general, and how they relate to the core symptoms of each disorder, remains unclear. We measured and compared tactile detection, discrimination and order judgment thresholds between a large sample of children with ASD, ADHD, ASD + ADHD combined and typically developing controls. The pattern of results suggested that while difficulties with tactile detection and order judgement were more common in children with ADHD, difficulties with tactile discrimination were more common in children with ASD. Strikingly, subsequent correlation analyses found that the disorder-specific alterations suggested by the group comparisons were also exclusively related to the core symptoms of each respective disorder. These results suggest that disorder-specific alterations of lower-level sensory processes exist and are specifically related to higher-level clinical symptoms of each disorder.

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