scholarly journals Predicting Age Groups of Reddit Users based on Posting Behavior and Metadata: Comparative Study of Classification Models (Preprint)

10.2196/25807 ◽  
2020 ◽  
Author(s):  
Rob Chew ◽  
Caroline Kery ◽  
Laura Baum ◽  
Thomas Bukowski ◽  
Annice Kim ◽  
...  
Keyword(s):  
Comparative Study ◽  
Age Groups ◽  
Classification Models

An Extensive Review on Machine Learning and Deep Learning Based Cervical Cancer Diagnosis and Classification Models

2020 ◽  
Vol 17 (12) ◽  
pp. 5438-5446
Author(s):  
C. Suguna ◽  
S. P. Balamurugan
Keyword(s):  
Machine Learning ◽  
Cervical Cancer ◽  
Deep Learning ◽  
Comparative Study ◽  
Cancer Diagnosis ◽  
Pap Smear ◽  
Classification Models ◽  
Extensive Review ◽  
Diagnosis And Classification ◽  
Automated Machine Learning

Cervical cancer is a commonly occurring deadliest disease among women, which needs earlier diagnosis to reduce the prevalence. Pap-smear is considered as a widely employed technique to screen and diagnose cervical cancer. Since classical manual screening techniques are inefficient in the identification of cervical cancer, several research works have been started to develop automated machine learning (ML) and deep learning (DL) tools for cervical cancer diagnosis. This paper surveys the recent works made on cervical cancer diagnosis and classification. The recently presently ML and DL models for cervical cancer diagnosis and classification has been reviewed in detail. Besides, segmentation techniques developed for cervical cancer diagnosis also surveyed. At the end of the survey, a brief comparative study has been carried out to identify the significance of the reviewed methods.

scholarly journals A Comparative Study of Deep Neck Abscess with Regards to Anatomical Location and Age Groups Using CT and Clinical Data

2012 ◽  
Vol 66 (4) ◽  
pp. 309
Author(s):  
Chan Ho Park ◽  
Jong Kyu Han ◽  
Young Tong Kim ◽  
Hyeong Cheol Shin ◽  
Hyung Hwan Kim ◽  
...  
Keyword(s):  
Comparative Study ◽  
Clinical Data ◽  
Age Groups ◽  
Anatomical Location ◽  
Neck Abscess ◽  
Deep Neck Abscess

scholarly journals Comparative Study About Youth Body Height by Age Group and BMI at Medical Faculty of UMM

2020 ◽  
Vol 16 (1) ◽  
pp. 50
Author(s):  
Anung Putri Ilahika ◽  
Wiby Fahmi Wijaya
Keyword(s):  
Body Mass Index ◽  
Medical Students ◽  
Comparative Study ◽  
Body Mass ◽  
Growth And Development ◽  
Continuous Process ◽  
Age Groups ◽  
Medical Faculty ◽  
The Body ◽  
Measurement Results

Growth and development is a continuous process in the process of reaching adulthood, including the teenage stage. The problem that is often faced is physical change. Adolescent physical changes that appear are the increase in height and weight which affects the Body Mass Index (BMI). Height is one of the important things in adolescent growth and development. which is affected by genetic and environmental factors. The peak of growth in adolescents is different between boys and girls, so the pattern of height and BMI are also different. The purpose of this study was to determine differences in adolescent height based on age groups and BMI in Medical Faculty of UMM. This research is a comparative study by taking a sample of 100 medical students of UMM who have an age range of 17-20 years. The data to be taken is height measured using a MIC scale health scale ratio ratio. The measurement results have a numerical scale with units of centimeters (cm). Body mass index (BMI) is an index obtained from the division of body weight with height2. The measurement results are stated in kg / m2. All data obtained will be analyzed using the ANOVA comparative test. ANOVA test results generated p value in the two groups of students> 0.05 which concluded that the mean height of the student body based on age and BMI was not significantly different (not significant) statistically for both men and women. The conclusion from this study there were no differences in adolescent height based on age groups and BMI among medical students of UMM.

scholarly journals Adults blink more deeply: a comparative study of the attentional blink across different age groups

2016 ◽  
Vol 21 (2) ◽  
pp. e12512 ◽  
Author(s):  
Natalie Russo ◽  
Wendy R. Kates ◽  
Nicole Shea ◽  
Megan LeBlanc ◽  
Bradley Wyble
Keyword(s):  
Comparative Study ◽  
Attentional Blink ◽  
Age Groups

Comparative study of cardiorespiratory adaptations in elite basketball players of different age groups

2021 ◽  
Vol 61 (9) ◽  
Author(s):  
Eleftherios T. DIMITROS ◽  
Nikolaos A. KOUTLIANOS ◽  
Maria ANIFANTI ◽  
Evangelia I. KOUIDI ◽  
Asterios P. DELIGIANNIS
Keyword(s):  
Comparative Study ◽  
Age Groups ◽  
Basketball Players

scholarly journals A Comparative Study of Indian Food Image Classification Using K-Nearest-Neighbour and Support-Vector-Machines

2018 ◽  
Vol 7 (3.12) ◽  
pp. 521 ◽  
Author(s):  
Pathanjali C ◽  
Vimuktha E Salis ◽  
Jalaja G ◽  
Latha A
Keyword(s):  
Comparative Study ◽  
Detection System ◽  
Experimental Result ◽  
Support Vector ◽  
Svm Classifier ◽  
Nearest Neighbour ◽  
Classification Models ◽  
Food Detection ◽  
Knn Classifier ◽  
Indian Food

Food being the vital part of everyone’s lives, food detection and recognition becomes an interesting and challenging problem in computer vision and image processing. In this paper we mainly propose an automatic food detection system that detects and recognises varieties of Indian food. This paper uses a combined colour and shape features. The K-Nearest-Neighbour (KNN) and Support-Vector -Machine (SVM) classification models are used to classify the features. A comparative study on the performance of both the classification models is performed. The experimental result shows the higher efficiency of SVM classifier over KNN classifier. 

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