Hematology

Lymphoma

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

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Showing 2185-2205 of 9,019 articles
Real-time, adaptive machine learning for non-stationary, near chaotic gasoline engine combustion time series.

Fuel efficient Homogeneous Charge Compression Ignition (HCCI) engine combustion timing predictions m...

Global asymptotical ω-periodicity of a fractional-order non-autonomous neural networks.

We study the global asymptotic ω-periodicity for a fractional-order non-autonomous neural networks. ...

Clinical evaluation of postoperative chemotherapy based on genetic testing in patients with stage IIIA non-small cell lung cancer.

BACKGROUND: We performed a retrospective analysis to evaluate whether a postoperative chemotherapy s...

Non-redundant association rules between diseases and medications: an automated method for knowledge base construction.

BACKGROUND: The widespread use of electronic health records (EHRs) has generated massive clinical da...

Subgraph augmented non-negative tensor factorization (SANTF) for modeling clinical narrative text.

OBJECTIVE: Extracting medical knowledge from electronic medical records requires automated approache...

Application of neural networks with back-propagation to genome-enabled prediction of complex traits in Holstein-Friesian and German Fleckvieh cattle.

BACKGROUND: Recently, artificial neural networks (ANN) have been proposed as promising machines for ...

Surrogate population models for large-scale neural simulations.

Because different parts of the brain have rich interconnections, it is not possible to model small p...

Non-invasive health status detection system using Gabor filters based on facial block texture features.

Blood tests allow doctors to check for certain diseases and conditions. However, using a syringe to ...

Multistability of neural networks with discontinuous non-monotonic piecewise linear activation functions and time-varying delays.

This paper is concerned with the problem of coexistence and dynamical behaviors of multiple equilibr...

Validating estimates of prevalence of non-communicable diseases based on household surveys: the symptomatic diagnosis study.

BACKGROUND: Easy-to-collect epidemiological information is critical for the more accurate estimation...

A prospective non-randomised single-center study comparing laparoscopic and robotic distal pancreatectomy.

BACKGROUND: Laparoscopic distal pancreatectomy (LDP) is increasing in popularity thanks to the benef...

Laparoscopic non-microsurgical tubal reanastomosis: A retrospective cohort study.

OBJECTIVE: To determine the pregnancy rate achieved through laparoscopic tubal reanastomosis using o...

Noninvasive blood glucose sensing using near infra-red spectroscopy and artificial neural networks based on inverse delayed function model of neuron.

In this paper, a non-invasive blood glucose sensing system is presented using near infra-red(NIR) sp...

Predictors of schizophrenia spectrum disorders in early-onset first episodes of psychosis: a support vector machine model.

Identifying early-onset schizophrenia spectrum disorders (SSD) at a very early stage remains challen...

Latent feature representation with stacked auto-encoder for AD/MCI diagnosis.

Recently, there have been great interests for computer-aided diagnosis of Alzheimer's disease (AD) a...

Non-destructive assessment of tissue engineered cartilage maturity using visible and near infrared spectroscopy combined with machine learning.

Tissue engineering is a promising approach to address the unmet clinical need for treating cartilage...

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