Machine learning and deep learning approach for medical image analysis: diagnosis to detection
Computer-aided detection using Deep Learning (DL) and Machine Learning (ML) shows
tremendous growth in the medical field. Medical images are considered as the actual origin …
tremendous growth in the medical field. Medical images are considered as the actual origin …
Prediction of mortality from heart failure using machine learning
S Kedia, M Bhushan - … on Emerging Frontiers in Electrical and …, 2022 - ieeexplore.ieee.org
Cardiovascular diseases (CVDs) or heart failure (HF) is a vital cause of death worldwide.
Approximately 17.9 million people die each year, and it accounts for 31% of global deaths in …
Approximately 17.9 million people die each year, and it accounts for 31% of global deaths in …
Deep learning techniques for prediction and diagnosis of diabetes mellitus
Diabetes Mellitus (DM) is a serious chronic disease that affects billions of people worldwide.
8.5% of the population suffers from diabetes between the age range of18 to 70 years. In …
8.5% of the population suffers from diabetes between the age range of18 to 70 years. In …
Intelligent process automation: The future of digital transformation
The technological evolution in the last decades has led us to the forefront of the digitization
of services at every stratum of the processes and businesses. As the technology is …
of services at every stratum of the processes and businesses. As the technology is …
Prediction of students' academic performance using Machine Learning Techniques
The prediction of students' academic performance is a subset of Educational Data Mining
(EDM) which deals with the large-scale data gathered from an education system. EDM aims …
(EDM) which deals with the large-scale data gathered from an education system. EDM aims …
Advancements in healthcare services using deep learning techniques
Deep learning (DL) is the technique encouraging clinical staff and physicians to work on a
variety of data using DL algorithms. DL techniques have given a rise in the medical facilities …
variety of data using DL algorithms. DL techniques have given a rise in the medical facilities …
Smart ECG monitoring and analysis system using machine learning
In critical situations, a patient quarantines himself from others which makes it difficult for a
doctor to monitor the acute health symptoms of a patient. This work aims to create a Smart …
doctor to monitor the acute health symptoms of a patient. This work aims to create a Smart …
Identifying quality attributes of FODA and DSSA methods in domain analysis using a case study
The concept of reuse is addressed in software product line engineering (SPLE) by
distinguishing between two types of processes for development: application and domain …
distinguishing between two types of processes for development: application and domain …
Text Categorization using Supervised Machine Learning Techniques
Text categorization is a task for text mining that involves pattern classification and is
essential for the effective management of textual information systems (TIS). Each document …
essential for the effective management of textual information systems (TIS). Each document …
Supervised learning methods for identifying credit card fraud
Credit card fraud has increased due to the growing usage of credit cards for in-store and
online transactions. These cards allow the user to make substantial purchases without …
online transactions. These cards allow the user to make substantial purchases without …