Subjective Evaluation of Labeling Methods for Association Rule Clustering

Author(s):  
Renan de Padua ◽  
Fabiano Fernandes dos Santos ◽  
Merley da Silva Conrado ◽  
Veronica Oliveira de Carvalho ◽  
Solange Oliveira Rezende
1997 ◽  
Vol 78 (05) ◽  
pp. 1352-1356 ◽  
Author(s):  
Emel Aygören-Pürsün ◽  
Inge Scharrer ◽  

SummaryIn this open multicenter study the safety and efficacy of recombinant factor VIII (rFVIII) was assessed in 39 previously treated patients with hemophilia A (factor VIII basal activity ≤15%).Recombinant FVIII was administered for prophylaxis and treatment of bleeding episodes and for surgical procedures. A total of 3679 infusions of rFVIII were given. Efficacy of rFVIII as assessed by subjective evaluation of response to infusion and mean annual consumption of rFVIII was comparable to that of plasma derived FVIII concentrates. The incremental recovery of FVIII (2.4 ± 0,83%/IU/kg, 2.12 ± 0.61%/IU/kg, resp.) was within the expected range. No clinical significant FVIII inhibitor was detected in this trial. Five of 16 susceptible patients showed a seroconversion for parvovirus B19. However, the results are ambiguous in two cases and might be explained otherwise in one further case. Thus, in two patients a reliable seroconversion for parvovirus B19 was observed.


2020 ◽  
pp. 1-12
Author(s):  
Hu Jingchao ◽  
Haiying Zhang

The difficulty in class student state recognition is how to make feature judgments based on student facial expressions and movement state. At present, some intelligent models are not accurate in class student state recognition. In order to improve the model recognition effect, this study builds a two-level state detection framework based on deep learning and HMM feature recognition algorithm, and expands it as a multi-level detection model through a reasonable state classification method. In addition, this study selects continuous HMM or deep learning to reflect the dynamic generation characteristics of fatigue, and designs random human fatigue recognition experiments to complete the collection and preprocessing of EEG data, facial video data, and subjective evaluation data of classroom students. In addition to this, this study discretizes the feature indicators and builds a student state recognition model. Finally, the performance of the algorithm proposed in this paper is analyzed through experiments. The research results show that the algorithm proposed in this paper has certain advantages over the traditional algorithm in the recognition of classroom student state features.


2019 ◽  
Vol 139 (11) ◽  
pp. 385-392
Author(s):  
Yusuke Tahara ◽  
Zhang Shiyu ◽  
Rui Yatabe ◽  
Rumina Obi ◽  
Chie Okamura ◽  
...  

2016 ◽  
pp. 86-89
Author(s):  
S. Zhuk ◽  
◽  
O. Schurevska ◽  

The objective: to study the psychological characteristics of women’s status in one of the most common complications of pregnancy - the threat of termination of pregnancy, depending on the level of stress load. Patients and methods. We have studied the psychological status (the Holmes-Rahe level of psychosocial stress, the Spielberg-Hanin level of anxiety, V.I.Dobryakov’s related to a pregnancy test, diagnosis of psychological defense mechanisms, assessment of quality of life) 60 pregnant women with threat of premature birth in the third trimester of pregnancy. Surveyed women were divided into 2 groups: group 1 included 30 pregnant women – forced migrant of Donetsk and Lugansk area and 2 group – 30 pregnant women who resided in Kiev. Results. At the same clinical picture of the threat of premature birth we detected discrepancy between the subjective assessment of their condition in women – forced migrants: a high level of situational and personal anxiety, decrease in physical (physical functioning, role-physical functioning) and psychological (social functioning, role emotional functioning) health, doubtful and pathological subtypes of gestational dominant. This creates prerequisites for complications of pregnancy, childbirth and postpartum future period and requires the participation of psychologists in the work with this category of patients. Conclusion. So, revealed a discrepancy between the objective clinical signs similar obstetric pathology (on the example of threatened abortion) in pregnant women with different levels of stress load and their subjective evaluation of their condition that affects their psychological status. This should be reflected in individually tailored therapy and be mainstreamed into the work of obstetricians and gynecologists with these patients, and requires mandatory participation of psychologists in the work with this category of patients. Key words: pregnancy, the threat of premature birth, stress, psychological status.


2015 ◽  
Vol 6 (2) ◽  
Author(s):  
Rizal Setya Perdana ◽  
Umi Laili Yuhana

Kualitas perangkat lunak merupakan salah satu penelitian pada bidangrekayasa perangkat lunak yang memiliki peranan yang cukup besar dalamterbangunnya sistem perangkat lunak yang berkualitas baik. Prediksi defectperangkat lunak yang disebabkan karena terdapat penyimpangan dari prosesspesifikasi atau sesuatu yang mungkin menyebabkan kegagalan dalam operasionaltelah lebih dari 30 tahun menjadi topik riset penelitian. Makalah ini akandifokuskan pada prediksi defect yang terjadi pada kode program (code defect).Metode penanganan permasalahan defect pada kode program akan memanfaatkanpola-pola kode perangkat lunak yang berpotensi menimbulkan defect pada data setNASA untuk memprediksi defect. Metode yang digunakan dalam pencarian polaadalah memanfaatkan Association Rule Mining dengan Cumulative SupportThresholds yang secara otomatis menghasilkan nilai support dan nilai confidencepaling optimal tanpa membutuhkan masukan dari pengguna. Hasil pengujian darihasil pemrediksian defect kode perangkat lunak secara otomatis memiliki nilaiakurasi 82,35%.


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