A Comparative Study of Machine Learning classifiers to analyze the Precision of Myocardial Infarction prediction
RH Khan, J Miah, SAA Nipun… - 2023 IEEE 13th Annual …, 2023 - ieeexplore.ieee.org
In the modern world, heart disease ranks among the main causes of death. Smoking, high
blood pressure, and cholesterol are the three key risk factors for getting one heart disease …
blood pressure, and cholesterol are the three key risk factors for getting one heart disease …
Enhancing Lung Cancer Diagnosis with Machine Learning Methods and Systematic Review Synthesis
Lung cancer is the leading cause of death in the USA It is caused for various reasons, such
as malignant tumors that grow spontaneously in the lung and spread to other parts of the …
as malignant tumors that grow spontaneously in the lung and spread to other parts of the …
An empirical study to predict myocardial infarction using k-means and hierarchical clustering
The target of this research is to predict Myocardial Infarction using unsupervised Machine
Learning algorithms. Myocardial Infarction Prediction related to heart disease is a …
Learning algorithms. Myocardial Infarction Prediction related to heart disease is a …
A Study of Lung Cancer Prediction Using Machine Learning Algorithms
Lung cancer is the leading cause of death in the USA It is caused for various reasons, such
as malignant tumors that grow spontaneously in the lung and spread to other parts of the …
as malignant tumors that grow spontaneously in the lung and spread to other parts of the …
An empirical study to predict diabetes mellitus using K-means and hierarchical clustering techniques
Diabetes is a serious disease which is increasing at an alarming rate all over the world and
it may cause some longterm issues such as affecting the eyes, heart, kidneys, brain, feet and …
it may cause some longterm issues such as affecting the eyes, heart, kidneys, brain, feet and …
[PDF][PDF] Recursive hierarchical clustering algorithm
PY De Silva, CN Fernando, DD Wijethunge… - International journal of …, 2018 - ijmlc.org
Ultimate objective of data mining is to extract information from large datasets, and to utilize
the extracted information in decision making process. Clustering is the most generic …
the extracted information in decision making process. Clustering is the most generic …
An event-based approach to modeling complex data in critical care
V Tolls - 2018 - search.proquest.com
Precision medicine is an emerging field in critical care research where treatments are
individualized, ensuring the right patient receives the right medication at the right time. In this …
individualized, ensuring the right patient receives the right medication at the right time. In this …
Predicting Molecular Phenotypes with Single Cell RNA Sequencing Data: an Assessment of Unsupervised Machine Learning Models
According to the National Cancer Institute, there were 9.5 million cancer-related deaths in
2018. A challenge in improving treatment is resistance in genetically unstable cells. The …
2018. A challenge in improving treatment is resistance in genetically unstable cells. The …
Epileptic seizure detection by exploiting eeg signals using different decomposition techniques and machine learning approaches
In recent years, detecting epileptic seizure has gained a high demand in the field of
research. It is such a common and high talked brain disorder, since more than 65 million …
research. It is such a common and high talked brain disorder, since more than 65 million …
Verallgemeinerung der Diskretisierung von Jahresdauerlinien für mehrere Energieträger
T Harmat - 2015 - mediatum.ub.tum.de
Die Arbeit beschäftigt sich mit der Diskretisierung von mehreren zeitgleichen betrachteten
Lastprofilen unterschiedlicher Energieträger. Gegenstand der Arbeit ist ein …
Lastprofilen unterschiedlicher Energieträger. Gegenstand der Arbeit ist ein …