Browse Items (9344 total)
Sort by:
Comparison of Data Normalization for Wine Classification Using K-NN
Algorithm
The range of values that are not balanced on each attribute can affect the quality of data mining results. For this reason, it is necessary to
pre-process the data. This preprocessing is expected to increase the accuracy of the results from the wine…
pre-process the data. This preprocessing is expected to increase the accuracy of the results from the wine…
Comparison of emergency physician opinions with MSOFA and PREMEWS scores in determining the necessity of non-traumatic internal medicine patient transfers to the emergency department: a longitudinal study
Accurate prehospital decision-making is critical in emergency care to ensure the appropriate use of resources and optimal patient outcomes. However, the alignment between emergency physicians’ clinical judgments and scoring systems such as…
Comparison of FairMOT-VGG16 and MCMOT Implementation for Multi-Object Tracking and Gender Detection on Mall CCTV
The crowd detection system on CCTV has proven to be useful for retail owners in mall areas where data can be used as a guide by owners to find out the number of visitors who enter at a certain time.
However, such information was still insufficient.…
However, such information was still insufficient.…
Comparison of Glasgow coma scale, motor component, eye component, and simplified motor scale for predicting trauma outcomes: a 13-year multicenter retrospective cohort study
To address the complexity and time-consuming nature of the full Glasgow Coma Scale (GCS), various simplified tools for assessing brain function have been proposed, such as the eye (GCSE) and motor component of the GCS (GCSM), and the Simplified Motor…
Comparison of Grid Search and Evolutionary Parameter Optimization with
Neural Networks on JCI Stock Price Movements during the Covid 19
This study aims to determine the effect of covid 19 on the movement of the JCI Stock Price by testing various combinations of
the input variables of closed price stock data on the JCI. The analysis is carried out to find the best RMSE value from…
the input variables of closed price stock data on the JCI. The analysis is carried out to find the best RMSE value from…
Comparison of K-Means Clustering & Logistic Regression on University
data to differentiate between Public and Private University
The development of advances in educational methods has developed in the last few decades. especially at the higher education
level such as college. The rising interest of students in pursuing their higher education has caused the sector to be split…
level such as college. The rising interest of students in pursuing their higher education has caused the sector to be split…
Comparison of Kernel Support Vector Machine Multi-Class in PPKM
Sentiment Analysis on Twitter
PPKM is the Indonesian government's policy to deal with the spread of the coronavirus since early 2021. Until now, PPKM is
still the main topic to prevent the spread of COVID-19. This policy has generated various responses from the public,…
still the main topic to prevent the spread of COVID-19. This policy has generated various responses from the public,…
Comparison of Min-Max normalization and Z-Score Normalization in the
K-nearest neighbor (kNN) Algorithm to Test the Accuracy of Types of
Breast Cancer
The purpose of this study was to examine the results of the prediction of breast cancer, which have been classified based on two
types of breast cancer, malignant and benign. The method used in this research is the k-NN algorithm with normalization…
types of breast cancer, malignant and benign. The method used in this research is the k-NN algorithm with normalization…
Comparison of Mycobacterium Tuberculosis Image Detection Accuracy
Using CNN and Combination CNN-KNN
Mycobacterium tuberculosis is a pathogenic bacterium that causes respiratory tract disease in the lungs, namely tuberculosis
(TB). The problem is to find out the bacterial colonies when the observation is still done manually using a microscope with…
(TB). The problem is to find out the bacterial colonies when the observation is still done manually using a microscope with…
Comparison of QSOFA and sirs scores for the prediction of adverse outcomes of secondary peritonitis among patients admitted on the adult surgical ward in a tertiary teaching hospital in Uganda: a prospective cohort study
Background: SIRS and qSOFA are two ancillary scoring tools that have been used globally, inside and outside of
ICU to predict adverse outcomes of infections such as secondary peritonitis. A tertiary teaching hospital in Uganda
uses SIRS outside the…
ICU to predict adverse outcomes of infections such as secondary peritonitis. A tertiary teaching hospital in Uganda
uses SIRS outside the…