• ETRI Journal
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• v.44 no.4
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• pp.613-623
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• 2022

Autism spectrum disorder (ASD) is a developmental disorder associated with cognitive and neurobehavioral disorders. It affects the person's behavior and performance. Autism affects verbal and non-verbal communication in social interactions. Early screening and diagnosis of ASD are essential and helpful for early educational planning and treatment, the provision of family support, and for providing appropriate medical support for the child on time. Thus, developing automated methods for diagnosing ASD is becoming an essential need. Herein, we investigate using various machine learning methods to build predictive models for diagnosing ASD in children using facial images. To achieve this, we used an autistic children dataset containing 2936 facial images of children with autism and typical children. In application, we used classical machine learning methods, such as support vector machine and random forest. In addition to using deep-learning methods, we used a state-of-the-art method, that is, automated machine learning (AutoML). We compared the results obtained from the existing techniques. Consequently, we obtained that AutoML achieved the highest performance of approximately 96% accuracy via the Hyperpot and tree-based pipeline optimization tool optimization. Furthermore, AutoML methods enabled us to easily find the best parameter settings without any human efforts for feature engineering.

• IMMUNE NETWORK
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• v.20 no.3
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• pp.23.1-23.20
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• 2020

Sepsis is conceptually defined as life-threatening organ dysfunction that is caused by a dysregulated host response to infection. Although there has been significant advancement in recent decades in defining and understanding sepsis pathology, clinical management of sepsis is challenging due to difficulties in diagnosis, a lack of reliable prognostic biomarkers, and treatment options that are largely limited to antibiotic therapy and fundamental supportive measures. The lack of reliable diagnostic and prognostic tests makes it difficult to triage patients who are in need of more urgent care. Furthermore, while the acute inpatient treatment of sepsis warrants ongoing attention and investigation, efforts must also be directed toward longer term survival and outcomes. Sepsis survivors experience incomplete recovery, with long-term health impairments that may require both cognitive and physical treatment and rehabilitation. This review summarizes recent advances in sepsis prognosis research and discusses progress made in elucidating the underlying causes of prolonged health deficits experienced by patients surviving the early phases of sepsis.

• Clinical and Experimental Pediatrics
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• v.51 no.3
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• pp.225-232
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• 2008

The mission of National Health Screening Program for Infant and Children is to promote and improve the health, education, and well-being of infants, children, families, and communities. Although the term 'diagnosis' usually relates to pathology, a similar diagnostic approach applies to the child seen primarily for health supervision. In the case of health, diagnosis determines the selection of appropriate health promoting and preventive interventions, whether medical, dental, nutritional, educational, or psychosocial. Components of the diagnostic process in health supervision include the health 'interview'; assessment of physiological, emotional, cognitive, and social development (including critical developmental milestones); physical examination; screening procedures; and evaluation of strengths and issues. Open and informed communication between the health professional and the family remains the most significant component of both health diagnosis and health promotion. Families complete medical history forms at their health supervision visit. Family-friendly questionnaires, checklists, and surveys that are appropriate for the child's age are additional tools to improve and update data gathering. This type of information helps initiate and inform discussions between the family and the health professional. This article provides a comprehensive review of current National Health Screening Program for Infant and Children in Korea.

• Analytical Science and Technology
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• v.30 no.6
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• pp.355-378
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• 2017

Because neurochemicals are related to homeostasis and cognitive and behavioral functions in human body and because they enable the diagnosis of numerous neurodegenerative disorders, there has been increasing interest in the development of analytical platforms for neurochemical profiling in biological samples. In particular, mass spectrometry (MS)-based analytical methods combined with chromatographic separation have been widely used to profile neurochemicals in metabolic pathways. However, development of delicate sample preparation procedures and highly sensitive instrumental detection is necessary considering the trace levels and chemical instabilities of neurochemicals in biological samples. Therefore, in this review, analytical trends in MS-based metabolomics approaches to neurochemicals in multiple biological samples, such as urine, blood, CSF, and biological tissues, are discussed. This paper is expected to contribute to the development of an analytical platform to discover biomarkers that will aid diagnosis, prognosis, and treatment of neurodegenerative disorders.

• The Korean Journal of Nuclear Medicine
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• v.30 no.3
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• pp.299-314
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• 1996

The purpose of the present study was to validate the use of tissue radioactivity ratios instead of regional metabolic rates for the assessment of regional metabolic changes in Alzheimer's disease(AD) with [$^{18}F$]FDG PET and to examine the correlation of ratio indices with the severity of cognitive impairment in AD. Thirty-seven AD Patients(age $68{\pm}9 yrs$, $mean{\pm}s.d.$; 36 probable and 1 definite AD), 28 patients with dementia of non-Alzheimer type(age $66{\pm}7 yrs$), and 17 healthy controls(age $66{\pm}4 yrs$) underwent [$^{18}F$]FDG PET imaging. Two simplified radioactivity ratio indices were calculated from 37-66 min image: region-to-cerebellar radioactivity ratio(RCR) and a composite radioactivity ratio(a ratio of radioactivity in the most typically affected regions over the least typically affected regions: CRR). Local cerebral metabolic rate for glucose(LCMRglu) was also measured using a three-compartment, five-parameter tracer kinetic model. The ratio indices were significantly lower in AD patients than in controls(RCR in temporoparietal cortex, $0.949{\pm}0.136$ vs. $1.238{\pm}0.129$, p=0.0004; RCR in frontal cortex, $1.027{\pm}0.128$ vs. $1.361{\pm}0.151$, p<0.0001; CRR, $0.886{\pm}0.096$ vs. $1.032{\pm}0.042$. p=0.0024). On the RCR analysis, 86% of AD patients showed a pattern of bilateral temporoparietal hypometabolism with or without frontal involvement; hypometabolism was unilateral in 11% of the patients. When bilateral temporoparietal hypometabolism was considered to be suggestive of AD, the sensitivity and specificity of the RCR analysis for the differential diagnosis of AD were 86% and 73%, respectively. The RCR was correlated significantly with the macroparameter K [$K_1k_3/(k_2+k_3)$] (r=0.775, p<0.0001) and LCMRglu(r=0.633, p=0.0002) measured using the kinetic model. In patients with AD, both average RCR of cortical association areas and CRR were correlated with Mini-Mental Status Examination(r=0.565, p=0.0145; r=0.642, p=0.0031, respectively), Clinical Dementia Rating(r=-0.576, p=0.0124; r=-0.591, p=0.0077), and total score of Mattis Dementia Rating Scale (r=0.574, p=0.0648; r=0.737, p=0.0096). There were also significant correlations between memory and language impairments and corresponding regional RCRs. The results suggest that the [$^{18}F$]FDG PET ratio indices, RCR and CRR, reflect global and regional metabolic rates and correlate with the severity of cognitive impairment in AD. The simplified ratio analysis may be clinically useful for the differential diagnosis and serial monitoring of the disease.

• Korean Journal of Psychosomatic Medicine
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• v.27 no.2
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• pp.119-129
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• 2019

Objectives : The purpose of this study was to examine cognitive and psychological characteristics of patients who visited psychiatric outpatient clinic with military service suitability issues. Methods : Since January, 2017 to September, 2018, patients were recruited from the department of psychiatry of university hospital. Participants were diagnosed using DSM-5 criteria by board certified psychiatrists. And each of participants tested with K-WAIS-IV, K-SCL-95 by clinical psychologist. The data were analyzed using SPSS 18.0. Results : The results indicated 24.6% of the patients have significantly low level of intellectual functioning. and 10.8% of the patients have borderline level of intellectual functioning, and 26.3% of them were below average. The results of psychological characteristics showed patients have cautious and potentially dangerous level of depression, anxiety, agoraphobia, and suicidal idea. And PTSD subscale's mean score was above problematic level. Next, we divided patients into two groups based on question of whether the patient is eligible to serve in the military service or not arises from recruitment process or army training center. But two group didn't differ significantly. And for further analyses, we also divided patients into two groups based on if they got single psychiatric diagnosis or more than one psychiatric diagnosis. Conclusions : The results indicated that group which has coexisting psychiatric disorders were more depressed, had higher level of anger and aggression, and had more serious levels of suicidal ideas than single psychiatric diagnosis group. The implications and limitations were discussed along with some suggestions for the future studies.

• Korean Journal of Psychosomatic Medicine
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• v.22 no.1
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• pp.23-30
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• 2014

Objectives : Homocysteine has been associated with cognitive impairment and various psychiatric symptoms. This study was designed to examine the relationship exists between plasma homocysteine concentration and behavioral and psychological symptoms of dementia(BPSD). Methods : 41 subjects with dementia of Alzheimer's type were included in this study. We carried out history taking, physical examination, and cognitive assessment for the diagnosis of dementia of Alzheimer's type based on DSM-IV. We scored the Mini Mental State Examination(MMSE), Global Deterioration Scale(GDS), Clinical Dementia Rating(CDR), and the Korean Neuropsychiatric Inventory(K-NPI). We also measured levels of homocysteine, folate, and vitamin $B_{12}$ in the plasma. Results : We found statistically significant positive correlations between homocysteine concentration with NPI total score, and with scores of several sub-domains such as delusion, agitation/aggression, depression/dysphoria, and elation/euphoria. No significant correlation existed between homocysteine levels and scores of MMSE, GDS, and CDR. Conclusions : This study shows that plasma homocysteine levels are associated with BPSD. Further research is necessary to identify pathophysiologic mechanisms underlying these relationships.

• Journal of Biomedical Engineering Research
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• v.30 no.5
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• pp.401-411
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• 2009

In this paper, we correct pulse wave velocity(PWV) with heart-rate and derive regression equations to estimate intima-media thickness(IMT). Widely used methods for diagnosis of arteriosclerosis are IMT and PWV. Arterial wall stiffness determines the degree of energy absorbed by the elastic aorta and its recoil in diastole but there is not correlation between sclerosis and IMT in an existing study. In this study, we will correct PWV with heart-rate and get regression equation to estimate IMT using heart-rate correction index(HCI). We executed experiments for this study. Made up question of physical condition and measured electrocardiogram(ECG), photoplethysmogram (PPG) of finger-tip and toe-tip and ultrasound image of carotid artery. Calculated PWV and IMT using ECG, PPG and ultrasound image. We found that every p-value between PWV and IMT is not significant(<0.05). But p-value between IMT and HCI which is a corrected PWV using heart-rate is significant(>0.01). We use HCI and various measured parameter for estimating regression equation and apply backward estimation to select parameters for regression analysis. Result of backward estimation, found that only HCI is possible to derive proper regression equation of IMT. Relationship between PWV and IMT is the second order. Result of regression equation of E-H PWV is $R^2$=0.735, adj $R^2$=0.711. This is the best correlation value. We calculate error of its analysis for verification of earlobe PWV regression equation. Its result is RMSEP=0.0328, MAPE(%) = 4.7622. Like this regression analysis, we know that HCI is useful parameter and relationship between PWV, HCI and IMT. In addition, we are able to suggest possibility which is that we can get different parameter of prediction throughout just one measurement.

• Korean Journal of Psychosomatic Medicine
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• v.22 no.2
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• pp.71-78
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• 2014

Objectives : Behavioral and psychological symptoms of dementia(BPSD) represent significant clinical problems, resulting in functional decline, caregiver distress, institutionalization and increased mortality. A recent study showed gender differences have important role in the development of BPSD, but relationship between BPSD and gender has never been studied in Korea. This study was designed to examine whether patients with Alzheimer's disease show gender differences in behavioral and psychological symptoms of dementia(BPSD). Methods : Ninety-eight subjects with Alzheimer's disease were included in this study. We carried out history taking and cognitive assessment for the diagnosis of Alzheimer's disease based on DSM-IV. Cognitive impairment and BPSD were measured using the Mini Mental State Examination(MMSE), Global Deterioration Scale (GDS), Clinical Dementia Rating(CDR) and the Korean Neuropsychiatric Inventory(K-NPI). Independent samples t-test was used to examine the differences across gender in BPSD. Correlation analysis between MMSE, CDR, GDS and NPI was performed using Pearson's correlation coefficient. Results : There were no significant gender differences between the gender in BPSD. We found statistically significant negative correlations between MMSE with NPI total score, and with scores of several sub-domains such as hallucination. Conclusions : This study showed that gender differences in BPSD are not significant. Further research is necessary to identify whether BPSD affect gender differences or individual differences.

• Korean Journal of Cognitive Science
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• v.9 no.1
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• pp.31-39
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• 1998

This paper describes an electronic performance support system called HELPS(Handler Electronic Learning Performence Support) for semiconductor testing e equipment. The purpose of this system is to improve productivity of operators by providing just-in-time, on-the-job, mutimedia-based system information for operational support, training, and knowledge-based trouble shooting and repair. HELPS is composed of a operation module and a trouble shooting module. The operation module uses multimedia and hypermedia to provide the detailed and easily accessible information about equipment to users. Multimedia incorporate multiple. media forms including still and video images. animations 'texts' graphics. and audio. Hypermedia a are provided through a hierarchical information structure which offers not only specific information which is needed to perform a task to experienced operators. but detailed system guidance and information to novice operators. The trouble shooting module is composed of an integrated mutimedia-supported expert system which assists operators in trouble shooting and equipment repair. After diagnosis through the use of the expert system. multimedia advice is presented to the user in either still images with text or motion sequences with sound HELPS is evaluated in term of training time and trouble shooting and repair time. It improved productivity by saving more than 30% of the total time used without the system. This s system has the potential to improve productivity when it is used with ICAIOntellignet Computer Aided Instruction) and virtual reality.