Matches in SemOpenAlex for { <https://semopenalex.org/work/W2078383609> ?p ?o ?g. }
Showing items 1 to 77 of
77
with 100 items per page.
- W2078383609 abstract "Machine learning is the important part of the artificial intelligence which plays an important role in medical diagnosis. Attention Deficit Hyperactivity Disorder (ADHD) is one of the most common childhood disorders and continues through adolescence and adulthood. ADHD is a complex brain disorder which is usually difficult to diagnose. The study of different literature reports gives the analytical feature of the disorder as the ADHD has been misdiagnosis with other type of the brain disorders. Here in this report propose a decision system support system in diagnosis of ADHD disorder through brain Electroencephalographic signals. The main goal of this study is to provide different machine learning algorithms that may cure disorder and analysis with different methods of machine learning using MATLAB features. With the input of EEG signals from dataset of patient we apply machine learning techniques like SVM, NAIVE BAYES, KNN etc and using these algorithms methods, EEG can be decomposed into functionality different components, and this study analysis find the appropriate method is better for brain disorder problem that can reduce the contaminates using MATLAB feature and tools." @default.
- W2078383609 created "2016-06-24" @default.
- W2078383609 creator A5082549396 @default.
- W2078383609 date "2013-01-01" @default.
- W2078383609 modified "2023-10-03" @default.
- W2078383609 title "An Approach to Improve Brain Disorder Using Machine Learning Techniques" @default.
- W2078383609 cites W1548802052 @default.
- W2078383609 cites W2079277602 @default.
- W2078383609 cites W2127324977 @default.
- W2078383609 cites W2156260858 @default.
- W2078383609 cites W2156909104 @default.
- W2078383609 cites W2396755452 @default.
- W2078383609 cites W412782537 @default.
- W2078383609 doi "https://doi.org/10.9790/0661-01127784" @default.
- W2078383609 hasPublicationYear "2013" @default.
- W2078383609 type Work @default.
- W2078383609 sameAs 2078383609 @default.
- W2078383609 citedByCount "2" @default.
- W2078383609 countsByYear W20783836092017 @default.
- W2078383609 countsByYear W20783836092018 @default.
- W2078383609 crossrefType "journal-article" @default.
- W2078383609 hasAuthorship W2078383609A5082549396 @default.
- W2078383609 hasConcept C111919701 @default.
- W2078383609 hasConcept C118552586 @default.
- W2078383609 hasConcept C119857082 @default.
- W2078383609 hasConcept C12267149 @default.
- W2078383609 hasConcept C138885662 @default.
- W2078383609 hasConcept C154945302 @default.
- W2078383609 hasConcept C15744967 @default.
- W2078383609 hasConcept C2776401178 @default.
- W2078383609 hasConcept C2780365114 @default.
- W2078383609 hasConcept C2780783007 @default.
- W2078383609 hasConcept C41008148 @default.
- W2078383609 hasConcept C41895202 @default.
- W2078383609 hasConcept C52001869 @default.
- W2078383609 hasConcept C522805319 @default.
- W2078383609 hasConceptScore W2078383609C111919701 @default.
- W2078383609 hasConceptScore W2078383609C118552586 @default.
- W2078383609 hasConceptScore W2078383609C119857082 @default.
- W2078383609 hasConceptScore W2078383609C12267149 @default.
- W2078383609 hasConceptScore W2078383609C138885662 @default.
- W2078383609 hasConceptScore W2078383609C154945302 @default.
- W2078383609 hasConceptScore W2078383609C15744967 @default.
- W2078383609 hasConceptScore W2078383609C2776401178 @default.
- W2078383609 hasConceptScore W2078383609C2780365114 @default.
- W2078383609 hasConceptScore W2078383609C2780783007 @default.
- W2078383609 hasConceptScore W2078383609C41008148 @default.
- W2078383609 hasConceptScore W2078383609C41895202 @default.
- W2078383609 hasConceptScore W2078383609C52001869 @default.
- W2078383609 hasConceptScore W2078383609C522805319 @default.
- W2078383609 hasLocation W20783836091 @default.
- W2078383609 hasOpenAccess W2078383609 @default.
- W2078383609 hasPrimaryLocation W20783836091 @default.
- W2078383609 hasRelatedWork W2576251832 @default.
- W2078383609 hasRelatedWork W2736875006 @default.
- W2078383609 hasRelatedWork W2749054675 @default.
- W2078383609 hasRelatedWork W2805710794 @default.
- W2078383609 hasRelatedWork W2891712045 @default.
- W2078383609 hasRelatedWork W2968778218 @default.
- W2078383609 hasRelatedWork W2969891182 @default.
- W2078383609 hasRelatedWork W2970276290 @default.
- W2078383609 hasRelatedWork W3007075053 @default.
- W2078383609 hasRelatedWork W3015969491 @default.
- W2078383609 hasRelatedWork W3016865253 @default.
- W2078383609 hasRelatedWork W3030870789 @default.
- W2078383609 hasRelatedWork W3043601189 @default.
- W2078383609 hasRelatedWork W3046997039 @default.
- W2078383609 hasRelatedWork W3094648644 @default.
- W2078383609 hasRelatedWork W3110849702 @default.
- W2078383609 hasRelatedWork W3127213705 @default.
- W2078383609 hasRelatedWork W3129302576 @default.
- W2078383609 hasRelatedWork W3140301847 @default.
- W2078383609 hasRelatedWork W3205824203 @default.
- W2078383609 isParatext "false" @default.
- W2078383609 isRetracted "false" @default.
- W2078383609 magId "2078383609" @default.
- W2078383609 workType "article" @default.