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Editor's choice collection

Machine learning in medicine: Models, tools, and datasets

This retrospective article collection was edited by Dr Saif Aldeen AlRyalat. 

Machine learning and its derivative, deep learning, revolutionized diagnostic medicine and led to new applications and capabilities for existing diagnostic and prognostic tools. Recent years led to significant advances in machine learning models, which usually can be used for different specialties. Models need well curated datasets to be trained on, and the data need several pre-processing and organization steps. This collection provided valuable tools, datasets, and projects that used machine and deep learning methods in different specialties during the last two years. 

This collection was published 25 February 2021. 

Disease prediction via Bayesian hyperparameter optimization and ensemble learning
Liyuan Gao & Yongmei Ding 
BMC Research Notes 13, 205 (2020) 

CACTUS: cancer image annotating, calibrating, testing, understanding and sharing in breast cancer histopathology
Alper Aksac, Tansel Ozyer, Douglas J. Demetrick & Reda Alhajj 
BMC Research Notes 13, 13 (2020) 

BreCaHAD: a dataset for breast cancer histopathological annotation and diagnosis
Alper Aksac, Douglas J. Demetrick, Tansel Ozyer & Reda Alhajj 
BMC Research Notes 12, 82 (2019) **Data Note

A decision support system based on support vector machine for diagnosis of periodontal disease
Maryam Farhadian, Parisa Shokouhi & Parviz Torkzaban 
BMC Research Notes 13, 337 (2020)

Direct application of an ECG-based sleep staging algorithm on reflective photoplethysmography data decreases performance
M. M. van Gilst, B. M. Wulterkens, P. Fonseca, M. Radha, M. Ross, A. Moreau, A. Cerny, P. Anderer, X. Long, J. P. van Dijk & S. Overeem 
BMC Research Notes 13, 513 (2020) 

Can pre-trained convolutional neural networks be directly used as a feature extractor for video-based neonatal sleep and wake classification?
Muhammad Awais, Xi Long, Bin Yin, Chen Chen, Saeed Akbarzadeh, Saadullah Farooq Abbasi, Muhammad Irfan, Chunmei Lu, Xinhua Wang, Laishuan Wang & Wei Chen 
BMC Research Notes 13, 507 (2020)

Adults with Prader–Willi syndrome exhibit a unique microbiota profile
Wendy J. Dahl, Jérémie Auger, Zainab Alyousif, Jennifer L. Miller & Thomas A. Tompkins 
BMC Research Notes 14, 51 (2021)

Automated gene data integration with Databio
Robert W. Reid, Jacob W. Ferrier & Jeremy J. Jay 
BMC Research Notes 13, 195 (2020) 

Comparative evaluation of time series models for predicting influenza outbreaks: application of influenza-like illness data from sentinel sites of healthcare centers in Iran
Leili Tapak, Omid Hamidi, Mohsen Fathian & Manoochehr Karami 
BMC Research Notes 12, 353 (2019) 

CORAZON: a web server for data normalization and unsupervised clustering based on expression profiles
Thaís A. R. Ramos, Vinicius Maracaja-Coutinho, J. Miguel Ortega & Thaís G. do Rêgo 
BMC Research Notes 13, 338 (2020) 

New Content ItemSaif Aldeen AlRyalat is a medical doctor at the department of ophthalmology, The University of Jordan. Dr. AlRyalat is a keen supporter of Open Data and has been serving on the editorial board for BMC Research Notes since May 2020.

Annual Journal Metrics

  • Citation Impact 2023
    Journal Impact Factor: 1.6
    5-year Journal Impact Factor: N/A
    Source Normalized Impact per Paper (SNIP): 0.687
    SCImago Journal Rank (SJR): 0.486

    Speed 2023
    Submission to first editorial decision (median days): 13
    Submission to acceptance (median days): 191

    Usage 2023
    Downloads: 4,067,459
    Altmetric mentions: 2,370

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