Voting classifier-based crop recommendation
R Bandi, MSS Likhit, SR Reddy, SR Bodla… - SN Computer …, 2023 - Springer
The three most important necessities for human life are food, shelter, and clothing. Young
people who are technologically savvy have witnessed a significant scientific increase in the …
people who are technologically savvy have witnessed a significant scientific increase in the …
CNN with machine learning approaches using ExtraTreesClassifier and MRMR feature selection techniques to detect liver diseases on cloud
Liver disease is a significant global burden on health, with about a few hundred million
people suffering from chronic liver disease (CLD), with approximately 2 million deaths each …
people suffering from chronic liver disease (CLD), with approximately 2 million deaths each …
An effective approach for early liver disease prediction and sensitivity analysis
The liver is one of the most vital organs of the human body. Even when partially injured, it
functions normally. Therefore, detecting liver diseases at the early stages is challenging …
functions normally. Therefore, detecting liver diseases at the early stages is challenging …
Machine Learning for Early Prediction of Sepsis in Intensive Care Unit (ICU) Patients
A Alanazi, L Aldakhil, M Aldhoayan, B Aldosari - Medicina, 2023 - mdpi.com
Background and Objectives: Early detection of sepsis is crucial and can save lives.
However, identifying sepsis early and accurately remains a difficult task in the medical field …
However, identifying sepsis early and accurately remains a difficult task in the medical field …
Liver disease prediction and classification using machine learning techniques
S Tokala, K Hajarathaiah, SRP Gunda… - International …, 2023 - search.proquest.com
Recently liver diseases are becoming most lethal disorder in a number of countries. The
count of patients with liver disorder has been going up because of alcohol intake, breathing …
count of patients with liver disorder has been going up because of alcohol intake, breathing …
A mathematical model based on modified ID3 algorithm for healthcare diagnostics model
Data has become an asset in this digitization revolution, and the healthcare segment is the
leading cause of this big data. Healthcare data analysis is an influential and powerful source …
leading cause of this big data. Healthcare data analysis is an influential and powerful source …
[PDF][PDF] Liver ailment prediction using random forest model
Today, liver disease, or any deterioration in one's ability to survive, is extremely common all
around the world. Previous research has indicated that liver disease is more frequent in …
around the world. Previous research has indicated that liver disease is more frequent in …
Towards the Improvement of Credit Card Approval Process Using Classification Algorithm
ECD Del Pilar, MF Bongo - 2023 8th International Conference …, 2023 - ieeexplore.ieee.org
For financial institutions, such as banks, one of the major sources to earn includes the
issuance of credit cards. Over time, there has been a significant growth of applicants that opt …
issuance of credit cards. Over time, there has been a significant growth of applicants that opt …
Prediction of Liver Disease Using Soft Computing and Data Science Approaches
The liver is the most important and one of the largest organs in the body. The Liver serves a
number of functions, making it vital to the human body. When the Liver's regular functions …
number of functions, making it vital to the human body. When the Liver's regular functions …
Analysis and Prediction of Liver Cirrhosis Using Machine Learning Algorithms
LD Sawant, R Ritti, N Harshith… - 2023 3rd …, 2023 - ieeexplore.ieee.org
Liver cirrhosis is a serious and progressive liver disease that results in the formation of scar
tissue and liver dysfunction. It is one of the key reasons why people die and morbidity …
tissue and liver dysfunction. It is one of the key reasons why people die and morbidity …