4.7 Article

Deep belief network-based approach for detecting Alzheimer's disease using the multi-omics data

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Computer Science, Hardware & Architecture

Pixels to Classes: Intelligent Learning Framework for Multiclass Skin Lesion Localization and Classification

Muhammad Attique Khan et al.

Summary: A novel deep learning framework is proposed for lesion segmentation and classification, involving two primary phases with distinct network architectures. The proposed method is validated on three datasets, demonstrating superior performance compared to existing techniques in terms of sensitivity, precision, F1-Score, and accuracy.

COMPUTERS & ELECTRICAL ENGINEERING (2021)

Article Computer Science, Information Systems

Multi-Class Skin Lesion Detection and Classification via Teledermatology

Muhammad Attique Khan et al.

Summary: Teledermatology is an illustrious application of telemedicine and e-health, providing an effective tool for diagnosing skin lesions. This research aims to classify skin lesion images from different servers using a framework comprising localization and classification modules. Experimental results demonstrate the strength and practicality of the proposed framework.

IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS (2021)

Article Computer Science, Artificial Intelligence

Prediction of Alzheimer's disease based on deep neural network by integrating gene expression and DNA methylation dataset

Chihyun Park et al.

EXPERT SYSTEMS WITH APPLICATIONS (2020)

Article Biotechnology & Applied Microbiology

Identification of Methylated Gene Biomarkers in Patients with Alzheimer's Disease Based on Machine Learning

Jianting Ren et al.

BIOMED RESEARCH INTERNATIONAL (2020)

Article Radiology, Nuclear Medicine & Medical Imaging

Binary Classification of Alzheimer's Disease Using sMRI Imaging Modality and Deep Learning

Ahsan Bin Tufail et al.

JOURNAL OF DIGITAL IMAGING (2020)

Article Computer Science, Interdisciplinary Applications

Influence of medical domain knowledge on deep learning for Alzheimer's disease prediction

Branimir Ljubic et al.

COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2020)

Article Biochemical Research Methods

Integration of Multi-Omics Data for Gene Regulatory Network Inference and Application to Breast Cancer

Lin Yuan et al.

IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS (2019)

Review Chemistry, Multidisciplinary

Emotion AI-Driven Sentiment Analysis: A Survey, Future Research Directions, and Open Issues

Priya Chakriswaran et al.

APPLIED SCIENCES-BASEL (2019)

Proceedings Paper Mathematics, Interdisciplinary Applications

Neural Network-Based Multiomics Data Integration in Alzheimer's Disease

Pankhuri Singhal et al.

PROCEEDINGS OF THE 2019 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE COMPANION (GECCCO'19 COMPANION) (2019)

Article Computer Science, Interdisciplinary Applications

A hybrid data mining model for diagnosis of patients with clinical suspicion of dementia

Leonard Barreto Moreira et al.

COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2018)

Review Oncology

Machine learning and systems genomics approaches for multi-omics data

Eugene Lin et al.

BIOMARKER RESEARCH (2017)

Review Pharmacology & Pharmacy

Alzheimer disease: Epidemiology, diagnostic criteria, risk factors and biomarkers

Christiane Reitz et al.

BIOCHEMICAL PHARMACOLOGY (2014)

Article Biochemistry & Molecular Biology

Common dysregulation network in the human prefrontal cortex underlies two neurodegenerative diseases

Manikandan Narayanan et al.

MOLECULAR SYSTEMS BIOLOGY (2014)

Article Psychiatry

Genome-wide association study of Alzheimer's disease

M. I. Kamboh et al.

TRANSLATIONAL PSYCHIATRY (2012)

Review Clinical Neurology

Epidemiology of Alzheimer disease

Christiane Reitz et al.

NATURE REVIEWS NEUROLOGY (2011)

Article Computer Science, Artificial Intelligence

Representational power of restricted Boltzmann machines and deep belief networks

Nicolas Le Roux et al.

NEURAL COMPUTATION (2008)

Article Pathology

Analysis of microarray data using Z score transformation

C Cheadle et al.

JOURNAL OF MOLECULAR DIAGNOSTICS (2003)