Browsing by Subject "Logistic regression"
Now showing items 1-20 of 23
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An advanced hospital rating system using machine learning and natural language processing
(Brac University, 2023-05)Bangladesh is the host of 255 public and 4,452 private hospitals. Unfortunately, there is no reliable metric or resource available online to determine which hospital is better. Patients and their peers often find it ... -
Analyzing the security of e-Health data based on a hybrid federated learning model
(Brac University, 2023-01)This research aims to provide an approach for analyzing the security of the e-health care system through the use of federated learning and the pre-processing of distinct deep learning models. The infrastructure for ... -
Application of machine learning techniques on the context of predicting upcoming traffic congestion and providing the best preferred path
(Brac University, 2019-04)Bangladesh being one of the most heavily populated country in the world, the traffic condition is worsening every year due to the increase of vehicle activities through- out the entire nation. Research claims that an average ... -
The applications of data mining and machine learning in Bangladesh for disease pattern analysis and prediction
(Brac University, 2020)Over the years, data mining and machine learning have proved to be very convenient in numerous fields of science and technology and their applications in the medical sector is an emerging one. With the world population ... -
Best feature selection and data visualization for breast cancer prediction
(Brac University, 2019-09)Breast cancer (BC) is one of the most common cancers among women worldwide, representing the majority of new cancer cases and cancer-related deaths according to global statistics, making it a signifcant public health ... -
A color vision approach considering Reflection Co efficient based on Autoencoder techniques using deep neural networks
(Brac University, 2021-09)Color vision approach using auto encoded technique is an effective way to detect objects. This approach considers various factors like movement detection, size and shape detection, color detection etc. Here we have ... -
Early detection of breast cancer using machine learning
(Brac University, 2018-12)Breast cancer is the most common cancer among women but in can occur in both the genders. It is accountable for an appalling number of deaths worldwide. In a particularly low-resource developing country like Bangladesh, ... -
Forecasting stock market prices using advanced tools of machine learning
(BRAC University, 2019-04)Stock market, a very unpredictable sector of nance, involves a large number of investors,buyers and sellers. Stock market prediction is the act of attempting to see the long run price of an organization stock or di erent ... -
Fraud detection in E-commerce using natural language processing
(Brac University, 2023-01)Electronic commerce sometimes referred to as e-commerce is a type of business that enables both businesses and private individuals to purchase and sell products and services online. E-commerce in Bangladesh is thriving ... -
Heart disease prediction system
(Brac University, 2022-01)[1]According to the World Health Organization (WHO), 17.9 million people die each year due to cardiovascular diseases (CVDs), almost 31% of all deaths worldwide. This single piece of evidence is strong enough to describe ... -
Interpretable credit card fraud detection using deep learning leveraging XAI
(Brac University, 2022-09)Due to the internet's widespread accessibility, more and more businesses are bringing their offerings online. Besides, because of the growth of E-commerce websites, both individuals and businesses that deal in finances ... -
Mathematical modeling of health service utilization data using multiple logistic regression
(BRAC University, 2011)Many women in Nepal experience life threatening complications during pregnancy and child birth. Place of delivery is an important aspect of maternal health services. By delivery at a health institution, women receive ... -
Nonparametric bootstrapping for multiple logistic regression model using R
(BRAC University, 2004)The use of explanatory variables or covariates in a regression model is an important way to represent heterogeneity in a population. Again bootstrapping is rapidly becoming a popular tool to apply in a broad range of ... -
Performance analysis of different machine learning approaches for single modal facial expression detection
(BRAC University, 8/13/2018)Facial expression detection plays a pivotal role in the studies of emotion, cognitive processes, and social interaction. This has potential applications in different aspects of everyday life .For Example, real time face ... -
Performance analysis of machine learning algorithms for Malware classification
(Brac University, 2022-09-29)Malware detection research has been popular over the years as the variations and complexity of malware attacks are increasing daily. Using variously Supervised and Unsupervised machine learning algorithms to detect, ... -
Predicting stock market trend from twitter feed and building a framework for Bangladesh
(BRAC University, 2018-04)Social media has become an integral part in our day to day lives. What we share in these media are what we believe in and give others a window of opportunity to predict what is going on in our mind or how our actions ... -
Prediction of bipolar disorder from mental episodes using machine learning approach
(Brac University, 2022-06-05)A precious gift to mankind is the ability to express their emotions or feelings and also to realize. Sometimes, an omnipresent sustained feeling or emotion can dominate a person’s behavior and affect his perception which ... -
Prediction of diabetes induced complications using different machine learning algorithms
(BRAC University, 2018-08)Machine Learning is an ever expanding field of Artificial Intelligence which uses huge amount of data to develop algorithms that can detect patterns and systems. One such application of Machine Learning is developing ... -
Sentimental analysis of food review contents to improve food culture and the quality of virtual content using natural language processing and machine learning
(Brac University, 2022-09)Internet-based applications like social media platforms and blogs have exploded in popularity, and with them have come reviews and commentary on people’s daily lives. Unfortunately, the vast majority of these evaluations ... -
A supervised learning approach by machine learning and deep learning algorithms to predict type II DM risk
(Brac University, 2019-09)The application of Arti cial intelligence (AI) has become a valuable part of medical research. These days diabetes is one of the top maladies on the planet. Nowadays it has become a common disease and alarming as people ...