Works matching IS 17560381 AND DT 2023 AND VI 16 AND IP 1

Results: 36

Correction: A prognostic model based on seven immune-related genes predicts the overall survival of patients with hepatocellular carcinoma.

Published in:

2023

By:

Yan, Qian;
Zheng, Wenjiang;
Wang, Boqing;
Ye, Baoqian;
Luo, Huiyan;
Yang, Xinqian;
Zhang, Ping;
Wang, Xiongwen

Publication type:

Correction Notice

Attention-based dual-path feature fusion network for automatic skin lesion segmentation.

Published in:

BioData Mining, 2023, v. 16, n. 1, p. 1, doi. 10.1186/s13040-023-00345-x

By:

He, Zhenxiang;
Li, Xiaoxia;
Chen, Yuling;
Lv, Nianzu;
Cai, Yong

Publication type:

Article

Optimizing age-related hearing risk predictions: an advanced machine learning integration with HHIE-S.

Published in:

BioData Mining, 2023, v. 16, n. 1, p. 1, doi. 10.1186/s13040-023-00351-z

By:

Yang, Tzong-Hann;
Chen, Yu-Fu;
Cheng, Yen-Fu;
Huang, Jue-Ni;
Wu, Chuan-Song;
Chu, Yuan-Chia

Publication type:

Article

6mA-StackingCV: an improved stacking ensemble model for predicting DNA N6-methyladenine site.

Published in:

BioData Mining, 2023, v. 16, n. 1, p. 1, doi. 10.1186/s13040-023-00348-8

By:

Huang, Guohua;
Huang, Xiaohong;
Luo, Wei

Publication type:

Article

Endoscopy-based IBD identification by a quantized deep learning pipeline.

Published in:

BioData Mining, 2023, v. 16, n. 1, p. 1, doi. 10.1186/s13040-023-00350-0

By:

Datres, Massimiliano;
Paolazzi, Elisa;
Chierici, Marco;
Pozzi, Matteo;
Colangelo, Antonio;
Dorian Donzella, Marcello;
Jurman, Giuseppe

Publication type:

Article

DeepAutoGlioma: a deep learning autoencoder-based multi-omics data integration and classification tools for glioma subtyping.

Published in:

BioData Mining, 2023, v. 16, n. 1, p. 1, doi. 10.1186/s13040-023-00349-7

By:

Munquad, Sana;
Das, Asim Bikas

Publication type:

Article

Research agenda for using artificial intelligence in health governance: interpretive scoping review and framework.

Published in:

BioData Mining, 2023, v. 16, n. 1, p. 1, doi. 10.1186/s13040-023-00346-w

By:

Ramezani, Maryam;
Takian, Amirhossein;
Bakhtiari, Ahad;
Rabiee, Hamid R.;
Ghazanfari, Sadegh;
Sazgarnejad, Saharnaz

Publication type:

Article

Prescription pattern analysis of Type 2 Diabetes Mellitus: a cross-sectional study in Isfahan, Iran.

Published in:

BioData Mining, 2023, v. 16, n. 1, p. 1, doi. 10.1186/s13040-023-00344-y

By:

Ziad, Elnaz;
Sadat, Somayeh;
Farzadfar, Farshad;
Malekpour, Mohammad-Reza

Publication type:

Article

Quantum analysis of squiggle data.

Published in:

BioData Mining, 2023, v. 16, n. 1, p. 1, doi. 10.1186/s13040-023-00343-z

By:

Nagy, Naya;
Stuart-Edwards, Matthew;
Nagy, Marius;
Mitchell, Liam;
Zovoilis, Athanasios

Publication type:

Article

Disclosing transcriptomics network-based signatures of glioma heterogeneity using sparse methods.

Published in:

BioData Mining, 2023, v. 16, n. 1, p. 1, doi. 10.1186/s13040-023-00341-1

By:

Martins, Sofia;
Coletti, Roberta;
Lopes, Marta B.

Publication type:

Article

STAR_outliers: a python package that separates univariate outliers from non-normal distributions.

Published in:

BioData Mining, 2023, v. 16, n. 1, p. 1, doi. 10.1186/s13040-023-00342-0

By:

Gregg, John T.;
Moore, Jason H.

Publication type:

Article

Machine learning based study for the classification of Type 2 diabetes mellitus subtypes.

Published in:

BioData Mining, 2023, v. 16, n. 1, p. 1, doi. 10.1186/s13040-023-00340-2

By:

Ordoñez-Guillen, Nelson E.;
Gonzalez-Compean, Jose Luis;
Lopez-Arevalo, Ivan;
Contreras-Murillo, Miguel;
Aldana-Bobadilla, Edwin

Publication type:

Article

Assessment of emerging pretraining strategies in interpretable multimodal deep learning for cancer prognostication.

Published in:

BioData Mining, 2023, v. 16, n. 1, p. 1, doi. 10.1186/s13040-023-00338-w

By:

Azher, Zarif L.;
Suvarna, Anish;
Chen, Ji-Qing;
Zhang, Ze;
Christensen, Brock C.;
Salas, Lucas A.;
Vaickus, Louis J.;
Levy, Joshua J.

Publication type:

Article

Neural network-based prognostic predictive tool for gastric cardiac cancer: the worldwide retrospective study.

Published in:

BioData Mining, 2023, v. 16, n. 1, p. 1, doi. 10.1186/s13040-023-00335-z

By:

Li, Wei;
Zhang, Minghang;
Cai, Siyu;
Wu, Liangliang;
Li, Chao;
He, Yuqi;
Yang, Guibin;
Wang, Jinghui;
Pan, Yuanming

Publication type:

Article

Inverse problem for parameters identification in a modified SIRD epidemic model using ensemble neural networks.

Published in:

BioData Mining, 2023, v. 16, n. 1, p. 1, doi. 10.1186/s13040-023-00337-x

By:

Petrica, Marian;
Popescu, Ionel

Publication type:

Article

ChatGPT and large language models in academia: opportunities and challenges.

Published in:

BioData Mining, 2023, v. 16, n. 1, p. 1, doi. 10.1186/s13040-023-00339-9

By:

Meyer, Jesse G.;
Urbanowicz, Ryan J.;
Martin, Patrick C. N.;
O'Connor, Karen;
Li, Ruowang;
Peng, Pei-Chen;
Bright, Tiffani J.;
Tatonetti, Nicholas;
Won, Kyoung Jae;
Gonzalez-Hernandez, Graciela;
Moore, Jason H.

Publication type:

Article

Overlapping filter bank convolutional neural network for multisubject multicategory motor imagery brain-computer interface.

Published in:

BioData Mining, 2023, v. 16, n. 1, p. 1, doi. 10.1186/s13040-023-00336-y

By:

Luo, Jing;
Li, Jundong;
Mao, Qi;
Shi, Zhenghao;
Liu, Haiqin;
Ren, Xiaoyong;
Hei, Xinhong

Publication type:

Article

Comparison of cancer subtype identification methods combined with feature selection methods in omics data analysis.

Published in:

BioData Mining, 2023, v. 16, n. 1, p. 1, doi. 10.1186/s13040-023-00334-0

By:

Park, JiYoon;
Lee, Jae Won;
Park, Mira

Publication type:

Article

ScInfoVAE: interpretable dimensional reduction of single cell transcription data with variational autoencoders and extended mutual information regularization.

Published in:

BioData Mining, 2023, v. 16, n. 1, p. 1, doi. 10.1186/s13040-023-00333-1

By:

Pan, Weiquan;
Long, Faning;
Pan, Jian

Publication type:

Article

Changing word meanings in biomedical literature reveal pandemics and new technologies.

Published in:

BioData Mining, 2023, v. 16, n. 1, p. 1, doi. 10.1186/s13040-023-00332-2

By:

Nicholson, David N.;
Alquaddoomi, Faisal;
Rubinetti, Vincent;
Greene, Casey S.

Publication type:

Article

A self-inspected adaptive SMOTE algorithm (SASMOTE) for highly imbalanced data classification in healthcare.

Published in:

BioData Mining, 2023, v. 16, n. 1, p. 1, doi. 10.1186/s13040-023-00330-4

By:

Kosolwattana, Tanapol;
Liu, Chenang;
Hu, Renjie;
Han, Shizhong;
Chen, Hua;
Lin, Ying

Publication type:

Article

Automated quantitative trait locus analysis (AutoQTL).

Published in:

BioData Mining, 2023, v. 16, n. 1, p. 1, doi. 10.1186/s13040-023-00331-3

By:

Freda, Philip J.;
Ghosh, Attri;
Zhang, Elizabeth;
Luo, Tianhao;
Chitre, Apurva S.;
Polesskaya, Oksana;
St. Pierre, Celine L.;
Gao, Jianjun;
Martin, Connor D.;
Chen, Hao;
Garcia-Martinez, Angel G.;
Wang, Tengfei;
Han, Wenyan;
Ishiwari, Keita;
Meyer, Paul;
Lamparelli, Alexander;
King, Christopher P.;
Palmer, Abraham A.;
Li, Ruowang;
Moore, Jason H.

Publication type:

Article

Reference-free phylogeny from sequencing data.

Published in:

BioData Mining, 2023, v. 16, n. 1, p. 1, doi. 10.1186/s13040-023-00329-x

By:

Ryšavý, Petr;
Železný, Filip

Publication type:

Article

Clinical assistant decision-making model of tuberculosis based on electronic health records.

Published in:

BioData Mining, 2023, v. 16, n. 1, p. 1, doi. 10.1186/s13040-023-00328-y

By:

Wang, Mengying;
Lee, Cuixia;
Wei, Zhenhao;
Ji, Hong;
Yang, Yingyun;
Yang, Cheng

Publication type:

Article

Genetics and precision health: the ecological fallacy and artificial intelligence solutions.

Published in:

BioData Mining, 2023, v. 16, n. 1, p. 1, doi. 10.1186/s13040-023-00327-z

By:

Williams, Scott M.;
Moore, Jason H.

Publication type:

Article

Algorithm-based detection of acute kidney injury according to full KDIGO criteria including urine output following cardiac surgery: a descriptive analysis.

Published in:

BioData Mining, 2023, v. 16, n. 1, p. 1, doi. 10.1186/s13040-023-00323-3

By:

Schmid, Nico;
Ghinescu, Mihnea;
Schanz, Moritz;
Christ, Micha;
Schricker, Severin;
Ketteler, Markus;
Alscher, Mark Dominik;
Franke, Ulrich;
Goebel, Nora

Publication type:

Article

Unsupervised encoding selection through ensemble pruning for biomedical classification.

Published in:

BioData Mining, 2023, v. 16, n. 1, p. 1, doi. 10.1186/s13040-022-00317-7

By:

Spänig, Sebastian;
Michel, Alexander;
Heider, Dominik

Publication type:

Article

Genetics and precision health: the ecological fallacy and artificial intelligence solutions.

Published in:

BioData Mining, 2023, v. 16, n. 1, p. 1, doi. 10.1186/s13040-023-00327-z

By:

Williams, Scott M.;
Moore, Jason H.

Publication type:

Article

Prediction of the risk of developing end-stage renal diseases in newly diagnosed type 2 diabetes mellitus using artificial intelligence algorithms.

Published in:

BioData Mining, 2023, v. 16, n. 1, p. 1, doi. 10.1186/s13040-023-00324-2

By:

Ou, Shuo-Ming;
Tsai, Ming-Tsun;
Lee, Kuo-Hua;
Tseng, Wei-Cheng;
Yang, Chih-Yu;
Chen, Tz-Heng;
Bin, Pin-Jie;
Chen, Tzeng-Ji;
Lin, Yao-Ping;
Sheu, Wayne Huey-Herng;
Chu, Yuan-Chia;
Tarng, Der-Cherng

Publication type:

Article

Signature literature review reveals AHCY, DPYSL3, and NME1 as the most recurrent prognostic genes for neuroblastoma.

Published in:

BioData Mining, 2023, v. 16, n. 1, p. 1, doi. 10.1186/s13040-023-00325-1

By:

Chicco, Davide;
Sanavia, Tiziana;
Jurman, Giuseppe

Publication type:

Article

Ten simple rules for providing bioinformatics support within a hospital.

Published in:

BioData Mining, 2023, v. 16, n. 1, p. 1, doi. 10.1186/s13040-023-00326-0

By:

Chicco, Davide;
Jurman, Giuseppe

Publication type:

Article

iU-Net: a hybrid structured network with a novel feature fusion approach for medical image segmentation.

Published in:

BioData Mining, 2023, v. 16, n. 1, p. 1, doi. 10.1186/s13040-023-00320-6

By:

Jiang, Yun;
Dong, Jinkun;
Cheng, Tongtong;
Zhang, Yuan;
Lin, Xin;
Liang, Jing

Publication type:

Article

The Matthews correlation coefficient (MCC) should replace the ROC AUC as the standard metric for assessing binary classification.

Published in:

BioData Mining, 2023, v. 16, n. 1, p. 1, doi. 10.1186/s13040-023-00322-4

By:

Chicco, Davide;
Jurman, Giuseppe

Publication type:

Article

LoFTK: a framework for fully automated calculation of predicted Loss-of-Function variants and genes.

Published in:

BioData Mining, 2023, v. 16, n. 1, p. 1, doi. 10.1186/s13040-023-00321-5

By:

Alasiri, Abdulrahman;
Karczewski, Konrad J.;
Cole, Brian;
Loza, Bao-Li;
Moore, Jason H.;
van der Laan, Sander W.;
Asselbergs, Folkert W.;
Keating, Brendan J.;
van Setten, Jessica

Publication type:

Article

Detection of iron deficiency anemia by medical images: a comparative study of machine learning algorithms.

Published in:

BioData Mining, 2023, v. 16, n. 1, p. 1, doi. 10.1186/s13040-023-00319-z

By:

Appiahene, Peter;
Asare, Justice Williams;
Donkoh, Emmanuel Timmy;
Dimauro, Giovanni;
Maglietta, Rosalia

Publication type:

Article

Bacteria spatial tracking in Urban Park soils with MALDI-TOF Mass Spectrometry and Specific PCR.

Published in:

BioData Mining, 2023, v. 16, n. 1, p. 1, doi. 10.1186/s13040-022-00318-6

By:

Arnal, Diego;
Moya, Celeste;
Filippelli, Luigi;
Segura-Garcia, Jaume;
Maicas, Sergi

Publication type:

Article