1.Predictive Factors of Social Functioning in Patients with Schizophrenia: Exploration for the Best Combination of Variables Using Data Mining.
Sung Man BAE ; Seung Hwan LEE ; Young Min PARK ; Myung Ho HYUN ; Hiejin YOON
Psychiatry Investigation 2010;7(2):93-101
OBJECTIVE: This study aimed to use data mining to explore the significantly contributing variables to good social functioning in schizophrenia patients. METHODS: The study cohort comprised 67 schizophrenia patients on stable medication. A total of 51 variables (6 demographic data, 3 illness history, 22 social cognition, 16 neurocognition, 4 psychiatric symptoms) were input into a data-mining decision tree using the Answer Tree program to find the pathway for the best social functioning. RESULTS: Several contributing factors for good social functioning were found. Continuous attention was the strongest contributing factor. Three variables involving best social functioning included good continuous attention, good theory of mind (TOM), and low sensitivity of disgust emotion. CONCLUSION: Our results confirmed the mediating roles of social cognition between neurocognition and functional outcomes, and suggested that social cognition can significantly predict social functioning in schizophrenia patients.
Cognition
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Cohort Studies
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Data Mining
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Decision Trees
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Humans
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Negotiating
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Schizophrenia
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Theory of Mind
2.Neuroeconomics and Psychiatry : Application of Quantitative Methodology.
Journal of Korean Neuropsychiatric Association 2013;52(5):301-310
Neuroeconomics is an interdisciplinary field that seeks to explain human decision making using a combination of research methods from neuroscience, (behavioral) economics, and cognitive and social psychology. With recent advances in functional neuroimaging and computing power, neuroeconomics suggests the possibility of examining psychopathology using a quantitative model based on objective metrics. The purpose of this paper is to introduce the theory of neuroeconomics and to review the literature on its application to psychiatric research. First, the concept of utility function in economic decision theory can be used to explain depressive symptoms with regard to lack of interest in money. Second, differences in attitudes toward uncertainty and risk suggest that avolition and anhedonia can be expected to reduce the influence of uncertainty on decision making. Third, some parametrically varied values of delay discounting show the relation of discounted value to risk of addiction. Finally, economic game theory can provide a model including social factors to address psychiatric conditions ; thus, it provides a useful framework for the current diagnostic classification systems for consideration of interpersonal factors. We expect that conduct of more interdisciplinary research in neuroeconomics and psychiatry will clarify diagnosis and contribute to the description of psychiatric disorders.
Anhedonia
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Decision Making
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Decision Theory
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Depression
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Functional Neuroimaging
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Game Theory
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Humans
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Neurosciences
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Psychology, Social
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Psychopathology
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Uncertainty
3.Experience of Career Decision of Korean Nursing Students.
Hyun Young KOO ; Ok Kyoung PARK ; Kae Wha JO
Child Health Nursing Research 2017;23(2):168-178
PURPOSE: The purpose of this study was to explore and describe the experiences of career decision making by Korean nursing students. METHODS: The participants were 18 nursing students from one nursing college. Data were collected through in-depth individual interviews, and the main question was, “Could you describe your experience of making a career decision?” Data from the field and transcribed notes were analyzed using Strauss and Corbin's grounded theory methodology. RESULTS: Core category of nursing students' experiences in making career decisions was ‘trying to find the way of being a nurse’. Action/interaction strategies were ‘becoming one's own self’, ‘actively exploring the way of being a nurse’, and ‘experiencing one’s own achievement as a future nurse’. Consequences were ‘deciding on the career on one’s own’ and ‘career indecision on one's own’. CONCLUSION: The findings indicate that nursing students tried to know themselves, explore careers and experience their achievements, and that their efforts were influenced by real situations and support systems. Therefore, nurse educators should develop systems and programs to help students in nursing make career decisions.
Career Choice
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Decision Making
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Grounded Theory
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Humans
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Nursing*
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Qualitative Research
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Students, Nursing*
4.The effective distribution system for the concentration of patients to extra-large hospitals.
Journal of the Korean Surgical Society 2011;80(6):373-383
PURPOSE: In Korean society, extra-large hospitals are congested with the majority of patients. Because of the congestions, the urgent patients need to wait anywhere from as short as a month to around three months. These concentrations of the patients on the extra-large hospitals causes not only the economic problem in terms of loss of opportunity cost and resources of other medium and large hospitals but also the fear and the consequential stress of the patients and the families of the patients who are waiting for the surgeries. The phenomenon of the concentrations derived due to the insufficient information to the medical consumers. If the information on medical treatment services such as surgery schedule is provided before the selection of hospital, we expect that the selection of hospital for the patients and their family will differ, resulting in redistribution of concentration phenomenon. In this paper, we propose and verify the effective distribution system for the concentration on the extra-large hospitals. METHODS: Web simulation survey was conducted. A total 100 respondents were divided into 4 groups of 25 respondents and the different information was provided to each group. RESULTS: Through multiple comparisons among groups, only group which was provided with both information about 'the difference of surgical results' and 'the waiting time for surgery', had difference in significance. CONCLUSION: By providing two sets of information to patients, reckless selection of extra-large hospitals can be spread to more appropriate hospitals and therefore achieve effective distribution of the population concentration on extra-large hospital.
Appointments and Schedules
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Decision Theory
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Estrogens, Conjugated (USP)
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Hospital Distribution Systems
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Humans
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Patient Self-Determination Act
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Surveys and Questionnaires
5.Nurses' Experiences of End-of-life Care in Long-term Care Hospitals in Japan: Balancing Improving the Quality of Life and Sustaining the Lives of Patients Dying at Hospitals.
Ryo ODACHI ; Tomoko TAMAKI ; Mikiko ITO ; Taketoshi OKITA ; Yuri KITAMURA ; Tomotaka SOBUE
Asian Nursing Research 2017;11(3):207-215
PURPOSE: In Japan, about 80% of deaths occur in hospitals, especially long-term care beds. The purpose of this study was to clarify the nursing practices used for such older patients at the end-of-life stage in long-termcare wards via the modified grounded theory approach (M-GTA). METHODS: Data were obtained through semi-structured interviews of nineteen nurses working in cooperating long-term care wards, acute care wards, or hospice services (to allow for constant comparison between these types of wards) in western Japan in 2014. We analyzed the transcribed data using M-GTA. RESULTS: The core category that emerged from the analysis was “Balancing enhancement of patients' daily life quality and life-sustaining care in the face of uncertainty about the patients' character.” Eleven categories emerged, such as Seeking older patients' character with their family, Supporting families' decision making, Rebuilding patients' daily life in the ward, and Sustaining patients' life span through medical care. CONCLUSIONS: Nurses experienced uncertainty about the care needs of older patients, the ethical problems of Enhancing the patients' QOL by using risky care, and the evaluation criteria used to judge their own nursing care after the patients' death. All nurses had the goal of ensuring a natural death for all patients. Nurses' acceptance and evaluation of their own care was critically influenced by the patient's family's responses to their care after patients' death. Further research is necessary to develop evaluation criteria and educational programs for end-of-life nursing care of older adults.
Adult
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Decision Making
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Grounded Theory
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Hospices
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Humans
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Japan*
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Long-Term Care*
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Nursing
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Nursing Care
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Qualitative Research
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Quality of Life*
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Terminal Care
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Uncertainty
6.Maxillary sinus floor augmentation: a review of current evidence on anatomical factors and a decision tree.
Mingyue LYU ; Dingyi XU ; Xiaohan ZHANG ; Quan YUAN
International Journal of Oral Science 2023;15(1):41-41
Maxillary sinus floor augmentation using lateral window and crestal technique is considered as predictable methods to increase the residual bone height; however, this surgery is commonly complicated by Schneiderian membrane perforation, which is closely related to anatomical factors. This article aimed to assess anatomical factors on successful augmentation procedures. After review of the current evidence on sinus augmentation techniques, anatomical factors related to the stretching potential of Schneiderian membrane were assessed and a decision tree for the rational choice of surgical approaches was proposed. Schneiderian membrane perforation might occur when local tension exceeds its stretching potential, which is closely related to anatomical variations of the maxillary sinus. Choice of a surgical approach and clinical outcomes are influenced by the stretching potential of Schneiderian membrane. In addition to the residual bone height, clinicians should also consider the stretching potential affected by the membrane health condition, the contours of the maxillary sinus, and the presence of antral septa when evaluating the choice of surgical approaches and clinical outcomes.
Sinus Floor Augmentation
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Decision Trees
7.ECG arrhythmia classification using time frequency distribution techniques.
Safa SULTAN QURRAIE ; Rashid GHORBANI AFKHAMI
Biomedical Engineering Letters 2017;7(4):325-332
In this paper, we focus on classifying cardiac arrhythmias. The MIT-BIH database is used with 14 original classes of labeling which is then mapped into 5 more general classes, using the Association for the Advancement of Medical Instrumentation standard. Three types of features were selected with a focus on the time-frequency aspects of ECG signal. After using the Wigner-Ville distribution the time-frequency plane is split into 9 windows considering the frequency bandwidth and time duration of ECG segments and peaks. The summation over these windows are employed as pseudo-energy features in classification. The “subject-oriented” scheme is used in classification, meaning the train and test sets include samples from different subjects. The subject-oriented method avoids the possible overfitting issues and guaranties the authenticity of the classification. The overall sensitivity and positive predictivity of classification is 99.67 and 98.92%, respectively, which shows a significant improvement over previous studies.
Arrhythmias, Cardiac*
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Classification*
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Decision Trees
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Electrocardiography*
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Methods
8.The clinical decision analysis using decision tree.
Epidemiology and Health 2014;36(1):e2014025-
The clinical decision analysis (CDA) has used to overcome complexity and uncertainty in medical problems. The CDA is a tool allowing decision-makers to apply evidence-based medicine to make objective clinical decisions when faced with complex situations. The usefulness and limitation including six steps in conducting CDA were reviewed. The application of CDA results should be done under shared decision with patients' value.
Decision Support Techniques*
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Decision Trees*
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Evidence-Based Medicine
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Uncertainty
9.Development of Customer Relationship Management System in the Healthcare Domain Using Data Mining.
Journal of Korean Society of Medical Informatics 2004;10(3):303-310
OBJECTIVE: To provide medicare services for patients demands satisfyingly, immediate introduction of the Customer Relationship Management(CRM) is raised inevitable. In this paper we proposed that the minimizing the hospital losses by cut down the rate of cancelation of the hospital reservation, to secure patients as clients. METHODS: And to implement the data mining-based healthcare customer relationship management system applied from the back propagation algorithm of the artificial neural networks technique and the Feature GENeration(FGEN) algorithm of the decision tree technique. RESULTS: In this paper we divided a patient to an appropriate group through a data mining process and classified more correct customer through a campaign process. CONCLUSION: These results would be essential for new patients to enhance hospital reliability, for hospital to select profitable patients with high loyalty and to manage patients efficiently.
Data Mining*
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Decision Trees
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Delivery of Health Care*
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Humans
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Medicare
10.Application of Decision Tree for the Classification of Antimicrobial Peptide.
Su Yeon LEE ; Sunkyu KIM ; Sukwon S KIM ; Seon Jeong CHA ; Young Keun KWON ; Byung Ro MOON ; Byeong Jae LEE
Genomics & Informatics 2004;2(3):121-125
The purpose of this study was to investigate the use of decision tree for the classification of antimicrobial peptides. The classification was based on the activities of known antimicrobial peptides against common microbes including Escherichia coli and Staphylococcus aureus. A feature selection was employed to select an effective subset of features from available attribute sets.Sequential applications of decision tree with 17 nodes with 9 leaves and 13 nodes with 7 leaves provided the classification rates of 76.74% and 74.66% against E. coli and S. aureus, respectively. Angle subtended by positively charged face and the positive charge commonly gave higher accuracies in both E. coli and S. aureus datasets. In this study, we describe a successful application of decision tree that provides the understanding of the effects of physicochemical characteristics of peptides on bacterial membrane.
Classification*
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Dataset
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Decision Trees*
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Escherichia coli
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Membranes
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Peptides
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Staphylococcus aureus