Literature DB >> 30100821

Machine learning: supervised methods.

Danilo Bzdok1, Martin Krzywinski2, Naomi Altman3.   

Abstract

Supervised learning algorithms extract general principles from observed examples guided by a specific prediction objective.

Entities:  

Mesh：

Year:  2018        PMID： 30100821      PMCID： PMC6082635          DOI： 10.1038/nmeth.4551

Source DB:  PubMed          Journal:  Nat Methods        ISSN： 1548-7091            Impact factor:   28.547


  1 in total

Review 1.  Inference in the age of big data: Future perspectives on neuroscience.

Authors:  Danilo Bzdok; B T Thomas Yeo
Journal:  Neuroimage       Date:  2017-04-27       Impact factor: 6.556
  1 in total
  27 in total

Review 1.  Artificial intelligence in radiotherapy.

Authors:  Sarkar Siddique; James C L Chow
Journal:  Rep Pract Oncol Radiother       Date:  2020-05-06

Review 2.  Artificial Intelligence for Mental Health and Mental Illnesses: an Overview.

Authors:  Sarah Graham; Colin Depp; Ellen E Lee; Camille Nebeker; Xin Tu; Ho-Cheol Kim; Dilip V Jeste
Journal:  Curr Psychiatry Rep       Date:  2019-11-07       Impact factor: 5.285

3.  Image-based pooled whole-genome CRISPRi screening for subcellular phenotypes.

Authors:  Gil Kanfer; Shireen A Sarraf; Yaakov Maman; Heather Baldwin; Eunice Dominguez-Martin; Kory R Johnson; Michael E Ward; Martin Kampmann; Jennifer Lippincott-Schwartz; Richard J Youle
Journal:  J Cell Biol       Date:  2021-02-01       Impact factor: 10.539

Review 4.  A guide to machine learning for biologists.

Authors:  Joe G Greener; Shaun M Kandathil; Lewis Moffat; David T Jones
Journal:  Nat Rev Mol Cell Biol       Date:  2021-09-13       Impact factor: 94.444

5.  Complementary encoding of spatial information in hippocampal astrocytes.

Authors:  Sebastiano Curreli; Jacopo Bonato; Sara Romanzi; Stefano Panzeri; Tommaso Fellin
Journal:  PLoS Biol       Date:  2022-03-03       Impact factor: 8.029

6.  Foundations of Machine Learning-Based Clinical Prediction Modeling: Part I-Introduction and General Principles.

Authors:  Julius M Kernbach; Victor E Staartjes
Journal:  Acta Neurochir Suppl       Date:  2022

7.  Artificial intelligence and infrared thermography as auxiliary tools in the diagnosis of temporomandibular disorder.

Authors:  Elisa Diniz de Lima; José Alberto Souza Paulino; Ana Priscila Lira de Farias Freitas; José Eraldo Viana Ferreira; Jussara da Silva Barbosa; Diego Filipe Bezerra Silva; Patrícia Meira Bento; Ana Marly Araújo Maia Amorim; Daniela Pita Melo
Journal:  Dentomaxillofac Radiol       Date:  2021-10-06       Impact factor: 2.419

Review 8.  Machine Learning for Antimicrobial Resistance Prediction: Current Practice, Limitations, and Clinical Perspective.

Authors:  Jee In Kim; Finlay Maguire; Kara K Tsang; Theodore Gouliouris; Sharon J Peacock; Tim A McAllister; Andrew G McArthur; Robert G Beiko
Journal:  Clin Microbiol Rev       Date:  2022-05-25       Impact factor: 50.129

9.  Identification of novel candidate biomarkers and immune infiltration in polycystic ovary syndrome.

Authors:  Zhijing Na; Wen Guo; Jiahui Song; Di Feng; Yuanyuan Fang; Da Li
Journal:  J Ovarian Res       Date:  2022-07-06       Impact factor: 5.506

Review 10.  Artificial intelligence approaches to predicting and detecting cognitive decline in older adults: A conceptual review.

Authors:  Sarah A Graham; Ellen E Lee; Dilip V Jeste; Ryan Van Patten; Elizabeth W Twamley; Camille Nebeker; Yasunori Yamada; Ho-Cheol Kim; Colin A Depp
Journal:  Psychiatry Res       Date:  2019-12-09       Impact factor: 3.222
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