Raisa Nazir Ahmed Kazi^1,*, Manjur Kolhar², Faiza Rizwan²

CMC-Computers, Materials & Continua, Vol.66, No.2, pp. 1237-1250, 2021, DOI:10.32604/cmc.2020.012707

Abstract The widespread use of smartwatches has increased their specific and complementary activities in the health sector for patient’s prognosis. In this study, we propose a framework referred to as smart forecasting CardioWatch (SCW) to measure the heart-rate variation (HRV) for patients with myocardial infarction (MI) who live alone or are outside their homes. In this study, HRV is used as a vital alarming sign for patients with MI. The performance of the proposed framework is measured using machine learning and deep learning techniques, namely, support vector machine, logistic regression, and decision-tree classification techniques. The results indicated that the analysis of… More >

Nazeer Muhammad¹, Rubab², Nargis Bibi³, Oh-Young Song⁴, Muhammad Attique Khan^5,*, Sajid Ali Khan⁶

CMC-Computers, Materials & Continua, Vol.66, No.2, pp. 2199-2216, 2021, DOI:10.32604/cmc.2020.012257

Abstract Agriculture plays an important role in the economy of all countries. However, plant diseases may badly affect the quality of food, production, and ultimately the economy. For plant disease detection and management, agriculturalists spend a huge amount of money. However, the manual detection method of plant diseases is complicated and time-consuming. Consequently, automated systems for plant disease detection using machine learning (ML) approaches are proposed. However, most of the existing ML techniques of plants diseases recognition are based on handcrafted features and they rarely deal with huge amount of input data. To address the issue, this article proposes a fully… More >

Ramachandran Vinyagam¹, Pradeep Kumar², Kyung Eun Lee^1,3, Baojun Xu⁴, Muhammad Nurul Matin^5,*, Sang Gu Kang^1,3,*

Phyton-International Journal of Experimental Botany, Vol.90, No.1, pp. 1-15, 2021, DOI:10.32604/phyton.2020.013388

Abstract Medicinal herbs are well known and studied over the past millennia in most of the developing countries as a rational means of treatment against various diseases and disorders. Wedelolactone (WDL), a major bioactive compound in Eclipta prostrata L (Eclipta alba L), has been reported with potential benefits in human health against chronic diseases. However, a comprehensive study on WDL pharmacological benefits in various ailments, to the best of our knowledge, is not yet reported. Thereof, the present review provides the recent therapeutic applications in reference to biological and functional activities against major human chronic diseases, including cardiovascular, cancer, diabetes mellitus,… More >

Zongshuai Liu¹, Xuyu Xiang^1,2,*, Jiaohua Qin¹, Yun Tan¹, Qin Zhang¹, Neal N. Xiong³

CMC-Computers, Materials & Continua, Vol.66, No.1, pp. 457-466, 2021, DOI:10.32604/cmc.2020.012165

Abstract In recent years, with the development of machine learning and deep learning, it is possible to identify and even control crop diseases by using electronic devices instead of manual observation. In this paper, an image recognition method of citrus diseases based on deep learning is proposed. We built a citrus image dataset including six common citrus diseases. The deep learning network is used to train and learn these images, which can effectively identify and classify crop diseases. In the experiment, we use MobileNetV2 model as the primary network and compare it with other network models in the aspect of speed,… More >

MEHMET TASPINAR^1,2,*, ALIHAN BOZOGLAN^3,4, ABDULLAH SECKIN ERTUGRUL⁵, LEVENT ELMAS⁶

BIOCELL, Vol.44, No.3, pp. 337-344, 2020, DOI:10.32604/biocell.2020.011470

Abstract This study was carried out to compare individuals diagnosed with atherosclerosis and periodontal periodontitis based on the degree of change in the human beta-defensins (HBD) HBD-2, HBD-3, and calprotectin. Atherosclerosis is the most frequently observed cardiovascular disease. Dental and periodontal infections are known to provide a considerable basis for atheroma plaque formation. The study group consists of a total number of 40 subjects, with 20 patients diagnosed with atherosclerosis and chronic periodontitis and 20 systemically healthy patients diagnosed with chronic periodontitis. Clinical periodontal and blood parameters and HBD-2, HBD-3, and calprotectin biomarkers in the gingival crevicular fluid were measured. In… More >

Linguo Li^{1, 2}, Lijuan Sun¹, Jian Guo¹, Shujing Li^{2, *}, Ping Jiang³

CMC-Computers, Materials & Continua, Vol.65, No.1, pp. 761-775, 2020, DOI:10.32604/cmc.2020.010158

Abstract As an indispensable task in crop protection, the detection of crop diseases directly impacts the income of farmers. To address the problems of low crop-disease identification precision and detection abilities, a new method of detection is proposed based on improved genetic algorithm and extreme learning machine. Taking five different typical diseases with common crops as the objects, this method first preprocesses the images of crops and selects the optimal features for fusion. Then, it builds a model of crop disease identification for extreme learning machine, introduces the hill-climbing algorithm to improve the traditional genetic algorithm, optimizes the initial weights and… More >

Mi Kyoung Song¹, Gi Beom Kim¹, Eun Jung Bae¹, Young Ah Lee¹, Hyun-Young Kim², Seung-Kee Min³, Jung Hee Kim⁴, Jae-Kyung Won⁵

Congenital Heart Disease, Vol.13, No.4, pp. 608-616, 2018, DOI:10.1111/chd.12625

Abstract Objective: Pheochromocytoma and paraganglioma (extra-adrenal pheochromocytoma) are rare neuroendocrine tumors that arise from the neuroendocrine cells. Chronic hypoxia is known as a possible cause, and a strong link between cyanotic congenital heart disease and these tumors has been reported. However, reports of phechromocytoma/paraganglioma in Fontan patients were scarce. We herein report seven cases of phechromocytoma/paraganglioma after Fontan operation at a single tertiary center.
Methods: We retrospectively reviewed medical records and imaging studies who diagnosed as phechromocytoma/paraganglioma after Fontan operation in Seoul National University Children’s Hospital.
Results: Seven patients were identified during follow-up after Fontan operation, and the prevalence was 2.5%… More >

Felicit e Kamdem^1,2, Danielle Kedy Koum^2,3, Ba Hamadou^1,4, Melanie Yemdji¹, Henry Luma^1,4, Marie Solange Doualla^1,4, Diomède Noukeu⁵, Esther Barla⁵, Christophe Akazong⁵, Anastase Dzudie^1,4, Henry Ngote¹, Yves Monkam¹, Sidiki Mouliom¹, Samuel Kingue^4,6

Congenital Heart Disease, Vol.13, No.1, pp. 113-117, 2018, DOI:10.1111/chd.12529

Abstract Introduction: Cardiovascular diseases in pediatric pathologies have emerged in the recent years in sub-Saharan Africa (SSA), with congenital heart diseases (CHDs) being the most frequent. Unfortunately, their diagnosis is usually delayed, thereby increasing childhood morbidity and mortality.
Objectives: Describe the clinical, echocardiographic, and therapeutic aspects of CHDs of children at Douala General Hospital.
Methods: We carried out a cross-sectional descriptive study over a 10-year period, from January 2006 to December 2015. Files and reports of cardiac ultrasounds of patients aged ≤ 15 years were reviewed.
Results: We reviewed the medical records of 1616 children, of which 370 (22.9%) had CHD.… More >

Nayan T. Srivastava^1,2, Roger Hurwitz³, W. Aaron Kay⁴, George J. Eckert⁵, Alisha Kuhlenhoelter⁶, Nicole DeGrave², Eric S. Ebenroth^2,6

Congenital Heart Disease, Vol.14, No.2, pp. 176-184, 2019, DOI:10.1111/chd.12698

Abstract Objective: For over 20 years, we have followed a cohort of patients who underwent the Mustard procedure for d‐transposition of the great arteries. The current study follows the same cohort from our last study in 2007 to reassess their functional ca‐ pacity and quality of life.
Participants: Of the original 45 patients, six patients have required cardiac transplant and 10 patients have died, including two of the transplanted patients. Twenty‐five of the remaining patients agreed to participate in this current study.
Design: Patients underwent comparable testing to the previous studies when possi‐ ble including exercise stress testing, echocardiography, MRI or… More >

Xiangao Jiang¹, Megan Coffee^{2, 3, *}, Anasse Bari^{4, *}, Junzhang Wang⁴, Xinyue Jiang⁵, Jianping Huang¹, Jichan Shi¹, Jianyi Dai¹, Jing Cai¹, Tianxiao Zhang⁶, Zhengxing Wu¹, Guiqing He¹, Yitong Huang⁷

CMC-Computers, Materials & Continua, Vol.63, No.1, pp. 537-551, 2020, DOI:10.32604/cmc.2020.010691

Abstract The virus SARS-CoV2, which causes coronavirus disease (COVID-19) has become a pandemic and has spread to every inhabited continent. Given the increasing caseload, there is an urgent need to augment clinical skills in order to identify from among the many mild cases the few that will progress to critical illness. We present a first step towards building an artificial intelligence (AI) framework, with predictive analytics (PA) capabilities applied to real patient data, to provide rapid clinical decision-making support. COVID-19 has presented a pressing need as a) clinicians are still developing clinical acumen to this novel disease and b) resource limitations… More >