Journal: Multimedia Tools and Applications

Article Title: Bio-medical imaging (X-ray, CT, ultrasound, ECG), genome sequences applications of deep neural network and machine learning in diagnosis, detection, classification, and segmentation of COVID-19: a Meta-analysis & systematic review

doi: 10.1007/s11042-023-15029-1

Figure Lengend Snippet: Summary report of experimental setup work with technical details and performance metrics in the studied papers

Article Snippet: Abbas et al. [ ] , DeTraC (AlexNet, VGG19, ResNet, GoogleNet, SqueezeNet , , 3 × 3 , , , 4020 × 4892, 4248 × 3480 , 0.001 , 5 , Accuracy:97.35%, Sensitivity:98.23%, Specificity:96.34%. , ReLU , SGD , MATLAB 2019a.

Techniques: Activation Assay, Software, Blocking Assay

Journal: Global Health Action

Article Title: Using the INDEPTH HDSS to build capacity for chronic non-communicable disease risk factor surveillance in low and middle-income countries

doi: 10.3402/gha.v2i0.1984

Figure Lengend Snippet: Population distribution in the nine rural INDEPTH HDSS and the risk factor survey

Article Snippet: A total of 18,494 individuals were successfully interviewed, a pooled response rate of 98% (ranging from 95% in Matlab HDSS, Chililab HDSS, and Purworejo HDSS to 100% in Kanchanaburi HDSS).

Techniques:

Journal: Global Health Action

Article Title: Using the INDEPTH HDSS to build capacity for chronic non-communicable disease risk factor surveillance in low and middle-income countries

doi: 10.3402/gha.v2i0.1984

Figure Lengend Snippet: Prevalence of five major behavioural and biological risk factors (95% CI) adjusted by sex and age group in nine Asian HDSS sites

Article Snippet: A total of 18,494 individuals were successfully interviewed, a pooled response rate of 98% (ranging from 95% in Matlab HDSS, Chililab HDSS, and Purworejo HDSS to 100% in Kanchanaburi HDSS).

Techniques: Activity Assay