Browsing by Subject "Logistic regression"
Now showing items 1-20 of 30
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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 ... -
Analysis of software fault prediction using machine learning algorithm
(Brac University, 2021-01)Today software performs a requisite role in our daily lives. Software's complexity keeps growing. The increasing complexity of any software system making it very di cult to improve its quality. The performance of the ... -
Analyzing Schizophrenic-prone text from social media content: a novel approach through ML and NLP
(Brac University, 2024-01)Schizophrenia is one of the destructive personality disorders where people have unusual interpretations of reality and are lured to develop harmful actions if not diagnosed promptly. This study focuses on identifying ... -
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 ... -
Black swan events and machine learning
(Brac University, 2021-01)Black Swan events refer to hard-to-predict and rare events that have a low probability of occurrence but have widespread impacts whenever they occur, be it positive or negative. These events can either be in the form of ... -
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, ... -
Enhancing autism detection through machine learning models focusing on behavioral analysis
(Brac University, 2024-05)Autism Spectrum Disorder (ASD) is a complex and enduring condition characterized by challenges related to communication and behavior. It is a complex neurological disorder related to an individual’s psychological ... -
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 diabetes using machine learning: a comparative study of supervised classification models
(Brac University, 2023)Diabetes is a primary worldwide health concern that can develop at any age and has serious consequences. It results from imbalanced glucose levels in the body. As well as being a long-term disease, it has other associated ...
