Literature DB >> 27008023

Introducing Machine Learning Concepts with WEKA.

Tony C Smith1, Eibe Frank2.   

Abstract

This chapter presents an introduction to data mining with machine learning. It gives an overview of various types of machine learning, along with some examples. It explains how to download, install, and run the WEKA data mining toolkit on a simple data set, then proceeds to explain how one might approach a bioinformatics problem. Finally, it includes a brief summary of machine learning algorithms for other types of data mining problems, and provides suggestions about where to find additional information.

Entities:  

Keywords:  Bioinformatics; Data mining; Machine learning; Tutorial; WEKA

Mesh:

Year:  2016        PMID: 27008023     DOI: 10.1007/978-1-4939-3578-9_17

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  27 in total

1.  PREDICTIVE MODELING OF HOSPITAL READMISSION RATES USING ELECTRONIC MEDICAL RECORD-WIDE MACHINE LEARNING: A CASE-STUDY USING MOUNT SINAI HEART FAILURE COHORT.

Authors:  Khader Shameer; Kipp W Johnson; Alexandre Yahi; Riccardo Miotto; L I Li; Doran Ricks; Jebakumar Jebakaran; Patricia Kovatch; Partho P Sengupta; Sengupta Gelijns; Alan Moskovitz; Bruce Darrow; David L David; Andrew Kasarskis; Nicholas P Tatonetti; Sean Pinney; Joel T Dudley
Journal:  Pac Symp Biocomput       Date:  2017

2.  Mu opioid receptors in the medial preoptic area govern social play behavior in adolescent male rats.

Authors:  Changjiu Zhao; Liza Chang; Anthony P Auger; Stephen C Gammie; Lauren V Riters
Journal:  Genes Brain Behav       Date:  2020-05-18       Impact factor: 3.449

3.  A machine learning-based framework to identify type 2 diabetes through electronic health records.

Authors:  Tao Zheng; Wei Xie; Liling Xu; Xiaoying He; Ya Zhang; Mingrong You; Gong Yang; You Chen
Journal:  Int J Med Inform       Date:  2016-10-01       Impact factor: 4.046

4.  Predicting Patient Length of Stay in Australian Emergency Departments Using Data Mining.

Authors:  Sai Gayatri Gurazada; Shijia Caddie Gao; Frada Burstein; Paul Buntine
Journal:  Sensors (Basel)       Date:  2022-06-30       Impact factor: 3.847

5.  Randomized Trial on the Effects of a Group EMDR Intervention on Narrative Complexity and Specificity of Autobiographical Memories: A Path Analytic and Supervised Machine-Learning Study.

Authors:  Andrea Poli; Angelo Gemignani; Mario Miccoli
Journal:  Int J Environ Res Public Health       Date:  2022-06-23       Impact factor: 4.614

6.  funtrp: identifying protein positions for variation driven functional tuning.

Authors:  Maximilian Miller; Daniel Vitale; Peter C Kahn; Burkhard Rost; Yana Bromberg
Journal:  Nucleic Acids Res       Date:  2019-12-02       Impact factor: 16.971

Review 7.  Using Big Data to Discover Diagnostics and Therapeutics for Gastrointestinal and Liver Diseases.

Authors:  Benjamin Wooden; Nicolas Goossens; Yujin Hoshida; Scott L Friedman
Journal:  Gastroenterology       Date:  2016-10-20       Impact factor: 33.883

8.  Prediction of Metal Ion Binding Sites in Proteins from Amino Acid Sequences by Using Simplified Amino Acid Alphabets and Random Forest Model.

Authors:  Suresh Kumar
Journal:  Genomics Inform       Date:  2017-12-29

9.  Use of Machine Learning Classifiers and Sensor Data to Detect Neurological Deficit in Stroke Patients.

Authors:  Eunjeong Park; Hyuk-Jae Chang; Hyo Suk Nam
Journal:  J Med Internet Res       Date:  2017-04-18       Impact factor: 5.428

10.  In Silico Prediction of Gamma-Aminobutyric Acid Type-A Receptors Using Novel Machine-Learning-Based SVM and GBDT Approaches.

Authors:  Zhijun Liao; Yong Huang; Xiaodong Yue; Huijuan Lu; Ping Xuan; Ying Ju
Journal:  Biomed Res Int       Date:  2016-08-08       Impact factor: 3.411

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