Hematology

Lymphoma

Latest AI and machine learning research in lymphoma for healthcare professionals.

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Showing 1912-1932 of 9,008 articles
A Convenient Non-harm Cervical Spondylosis Intelligent Identity method based on Machine Learning.

Cervical spondylosis (CS), a most common orthopedic diseases, is mainly identified by the doctor's j...

Deleterious Non-Synonymous Single Nucleotide Polymorphism Predictions on Human Transcription Factors.

Transcription factors (TFs) are the major components of human gene regulation. In particular, they b...

Localization of Ventricular Activation Origin from the 12-Lead ECG: A Comparison of Linear Regression with Non-Linear Methods of Machine Learning.

We have previously developed an automated localization method based on multiple linear regression (M...

Disparities in the Treatment and Outcome of Stage I Non-Small-Cell Lung Cancer in the 21st Century.

BACKGROUND: African American (AA) individuals are less likely to receive treatment and more likely t...

The application of machine learning algorithms in understanding the effect of core/shell technique on improving powder compactability.

This study systemically investigated the application of core/shell technique to improve powder compa...

Gene Ontology-based function prediction of long non-coding RNAs using bi-random walk.

BACKGROUND: With the development of sequencing technology, more and more long non-coding RNAs (lncRN...

Measurement and immunophenotyping of pleural fluid EpCAM-positive cells and clusters for the management of non-small cell lung cancer patients.

OBJECTIVES: A malignant pleural effusion (MPE) is a common complication in non-small cell lung cance...

SVM-RFE: selection and visualization of the most relevant features through non-linear kernels.

BACKGROUND: Support vector machines (SVM) are a powerful tool to analyze data with a number of predi...

Machine learning combined with non-targeted LC-HRMS analysis for a risk warning system of chemical hazards in drinking water: A proof of concept.

Guaranteeing clean drinking water to the global population is becoming more challenging, because of ...

Non-directed bronchial lavage is a safe method for sampling the respiratory tract in critically ill patient.

Ventilated patients are at risk of acquiring ventilator-associated pneumonia. Various techniques are...

Splenomegaly Segmentation on Multi-Modal MRI Using Deep Convolutional Networks.

The findings of splenomegaly, abnormal enlargement of the spleen, is a non-invasive clinical biomark...

Kafnets: Kernel-based non-parametric activation functions for neural networks.

Neural networks are generally built by interleaving (adaptable) linear layers with (fixed) nonlinear...

The use of machine learning in the study of suicidal and non-suicidal self-injurious thoughts and behaviors: A systematic review.

BACKGROUND: Machine learning techniques offer promise to improve suicide risk prediction. In the cur...

Wheeze type classification using non-dyadic wavelet transform based optimal energy ratio technique.

BACKGROUND AND OBJECTIVE: Wheezes in pulmonary sounds are anomalies which are often associated with ...

An evaluation method of risk grades for prostate cancer using similarity measure of cubic hesitant fuzzy sets.

Prostate cancer (PC) is more common cancer in older men. Then, the existing evaluation method of PC ...

Automatic detection of oral and pharyngeal phases in swallowing using classification algorithms and multichannel EMG.

Swallowing is a complex process that involves sequential voluntary and involuntary muscle contractio...

Non-orthogonal one-step calibration method for robotized transcranial magnetic stimulation.

BACKGROUND: Robotized transcranial magnetic stimulation (TMS) combines the benefits of neuro-navigat...

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