Image deblurring is one of the classical problems in image processing and computer vision. The vital task to restore high-quality with edge-preservation, details-protection, artifacts suppression. In order achieve ideal results, a nonblind method that combines total generalized variation (TGV) shearlet-based sparsity proposed. First, observed decomposed into two components: structures details by global gradient extraction scheme. Second, for structure component, TGV regularization utilized...

Depression has become one of the most common mental illnesses, causing severe physical and harm. To clarify impact brain region segmentation on detection accuracy moderate-to-severe major depressive disorder (MDD) identify optimal for detecting MDD using electroencephalography (EEG), this study compared eight traditional single-machine learning algorithms with a hybrid machine model based stacking ensemble technique. The employed K-nearest neighbors (KNN), decision tree (DT), Extreme...

Abstract Background The various types of ionizing radiation and altered gravity in the space environment present a risk to humans during missions. Changes lead skin diseases, affecting status aviators fly. Therefore, it is important explore molecular-level changes Objectives Bioinformatics analysis gene arrays from hair follicle tissue 10 astronauts was performed expression before, after Methods First, STEM (Short Time-series Expression Miner) software used identify patterns genes pre-, in-...

Purpose . To explore the influences of smoking, alcohol consumption, drinking tea, diet, sleep, and exercise on risk stroke relationships among factors, present corresponding knowledge-based rules, provide a scientific basis for assessment intervention factors stroke. Methods The decision tree C4.5 algorithm was optimized utilized to establish model assessment; then, main (including hypertension, dyslipidemia, diabetes, atrial fibrillation, body mass index (BMI), history stroke, family...

Entering the digital age, literacy has become one of essential knowledge and key skills for talents. First all, this paper sorts out research status existing framework at home abroad, conducts comparative analysis research, puts forward index reference frame, preliminarily constructs evaluation higher vocational students. Then, is verified by factor analysis, data results prove that constructed in certain rationality. On basis, weight calculated, thus formal students obtained. Finally,...

BACKGROUND: Stroke is a leading cause of mortality and disability, which can be affected by people's daily living habits.OBJECTIVE: To investigate the effects main habits (smoking, drinking, diet, vegetable fruits consumption, exercise) on stroke risk in patients provide scientific basis for assessment factors, novel analysis model proposed.METHODS: A data mining method using decision trees adopted optimized C4.5 algorithm presented.It able to deal with unbalanced problem...

RGB-D images can be used to build 3D models with high precision and efficiency. This paper introduces the method principle of modeling reconstruction process analyzes KinectFusion BundleFusion methods. Based on BundleFusion, this constructs a set methods for stroke patients’ food carries out experiments watermelon, banana, orange, corn, dish cold bitter gourd. With actual measurement data validation, banana’s average error rate 3.95%; is 3.89%; grapes, 4.28%; apple, banana mixture...

As the aging population continues to grow, increasing number of disabled elderly individuals poses ongoing challenges society in terms healthcare and medical burdens. Grading disability is significant importance for improving services allocating social resources. Traditional grading methods using a single assessment scale tend be subjective cannot comprehensively accurately reflect real situation. This paper presents NES (Needs Elderly care Shanghai) scale, based on 33 quantified scoring...

Stroke is an acute cerebrovascular disease characterized by a high incidence, disability rate, recurrence and mortality rate. Depression, as one of the main types mood disorders, can manifest symptoms such loss interest in daily activities, reduced energy, diminished self-esteem, insomnia, decreased appetite. There exists significant relationship between these two conditions terms their pathogenesis. To delve deeper into factors associated with occurrence both diseases, particularly...

Cerebral stroke, a type of cerebrovascular disease, has become the second leading cause death globally. It is closely related to many diseases, including hypertension, diabetes, senile dementia, and so forth. As traditional Chinese medicine formulas are increasingly used treat stroke its associated people have begun use machine learning methods analyze prescriptions summarize their laws. In this study, we collected data from classic formulations. Using Jaccard similarity coefficient method,...

Blind image deblurring is one of the challenging problems in processing and computer vision. The main purpose blind to estimate correct blur kernel restore latent with edge-preservation, details-protection, ringing suppression. In order achieve ideal results, an innovative compound L0-regularized model proposed by regularizing sparsity property natural images two characteristics kernel, such as continuity sparsity. alternating direction framework, split Bregman algorithm half-quadratic...

The micro program "TCM prescription data collection" was developed by using Wechat developer tools, MYSQL database, Spring Boot and other technologies to realize the collection, processing analysis of patients' vital signs information, clinical examination TCM data. intelligent information annotation, extraction structured storage user interface text are realized NLP technology. similarity visualization classical prescriptions for cardiovascular cerebrovascular diseases were mainly realized....

BACKGROUND: With the gradual aging of China's population development, number disabled elderly has increased significantly.OBJECTIVE: In order to better solve problem life care for these people, it is necessary conduct in-depth and detailed research on specific conditions in differentiate different set appropriate insurance provisions.METHODS: Based analysis basic behavioral ability elderly, referring International Disability standards, this paper refines three living indicators physiological...

Under the background of development smart medical five new characteristics data standardization, these include system integration, service regionalization, application intelligence, and structural diversification for clinical information systems. According to characteristic, we adopted 'flattening' idea curriculum integration. That was based on modular teaching content method integration that virtual platform case characteristics. Finally, questionnaires students who in different majors had...

For patients with stroke at home, strategies have been formulated for emotional nursing, sports rehabilitation and interventions poor lifestyle habits such as smoking, drinking, picky eating. Data were obtained through tracking investigation, effect evaluation indexes developed according to Hamilton depression scale (HAMD), activities of daily living (ADL) other rating scale; C4.5 decision tree algorithm was used analyze the nursing intervention strategy, then we derived corresponding...

To explore the risk factors for thyroid nodules and their correlation with diabetes stroke, authors conducted a study on 1000 patients metabolic syndrome (MS). The analysis included variables such as gender, age, familial disease, salt intake, iodine smoking, alcohol consumption, sleep quality, mental stress, exercise, BMI, blood pressure, diabetes, baseline nodules. Apriori algorithm of machine learning was used to derive 12 association rules ([Formula: see text]), decision tree 20...

Traditional Chinese medicine (TCM) prescription has the characteristic of “one person, one prescription”. Mining rules its prescriptions can be helpful for clinical diagnosis and treatment reflects “Precision Medical”. Taking classic cardiovascular cerebrovascular diseases as samples, author discussed mining process methods techniques data preprocessing. The machine learning method is used to construct a model based on set relations, similarity between calculated, “Mean-Link” clustering...