Matches in SemOpenAlex for { <https://semopenalex.org/work/W3043249932> ?p ?o ?g. }
Showing items 1 to 84 of
84
with 100 items per page.
- W3043249932 abstract "Cases of mental disorders are not very uncommon to find, especially when the pace of life is rapidly increasing. People neither have time to eat healthy and maintain a properly balanced life cycle nor to give rest to their mind and body. Thus, the occurrences of cases of mental disorders are increasing at an epidemic rate. 5% of persons who are 18 years above may experience mental illness once in year. This is regardless of the fact that they have any kind of lifestyle, its equivalent to 43.8 million people. This fact becomes more alarming and disturbing when well-trained medical experts are less in numbers to treat such a large number of people. The process of diagnosis and detection of the disorders of such a complex organ is also not an easy and straightforward task. It may often take a lot of time, thus delaying the commencement of the patient’s treatment. Proposed model predicts and diagnoses the disease effectively and can help practitioners by reducing diagnosis time. The logistic algorithm achieved the highest percentage 99.16% of prediction on the disease datasets obtained from Kaggle. This research work proposes the technique for an early prediction and performance-based technique." @default.
- W3043249932 created "2020-07-23" @default.
- W3043249932 creator A5013401583 @default.
- W3043249932 creator A5087630623 @default.
- W3043249932 date "2020-07-18" @default.
- W3043249932 modified "2023-09-25" @default.
- W3043249932 title "Statistical Approach to Detect Alzheimer’s Disease and Autism Spectrum-Related Neurological Disorder Using Machine Learning" @default.
- W3043249932 cites W2005342778 @default.
- W3043249932 cites W2148194409 @default.
- W3043249932 cites W2509083204 @default.
- W3043249932 cites W2550633897 @default.
- W3043249932 cites W2770278297 @default.
- W3043249932 cites W2804087047 @default.
- W3043249932 cites W2898879724 @default.
- W3043249932 cites W2900469714 @default.
- W3043249932 cites W2902092143 @default.
- W3043249932 cites W2970145080 @default.
- W3043249932 doi "https://doi.org/10.1007/978-981-15-5224-3_2" @default.
- W3043249932 hasPublicationYear "2020" @default.
- W3043249932 type Work @default.
- W3043249932 sameAs 3043249932 @default.
- W3043249932 citedByCount "3" @default.
- W3043249932 countsByYear W30432499322021 @default.
- W3043249932 countsByYear W30432499322022 @default.
- W3043249932 crossrefType "book-chapter" @default.
- W3043249932 hasAuthorship W3043249932A5013401583 @default.
- W3043249932 hasAuthorship W3043249932A5087630623 @default.
- W3043249932 hasConcept C118552586 @default.
- W3043249932 hasConcept C119857082 @default.
- W3043249932 hasConcept C126322002 @default.
- W3043249932 hasConcept C127413603 @default.
- W3043249932 hasConcept C13280743 @default.
- W3043249932 hasConcept C134362201 @default.
- W3043249932 hasConcept C142724271 @default.
- W3043249932 hasConcept C154945302 @default.
- W3043249932 hasConcept C15744967 @default.
- W3043249932 hasConcept C201995342 @default.
- W3043249932 hasConcept C205649164 @default.
- W3043249932 hasConcept C205778803 @default.
- W3043249932 hasConcept C2776674806 @default.
- W3043249932 hasConcept C2777526511 @default.
- W3043249932 hasConcept C2778538070 @default.
- W3043249932 hasConcept C2779134260 @default.
- W3043249932 hasConcept C2780451532 @default.
- W3043249932 hasConcept C41008148 @default.
- W3043249932 hasConcept C534262118 @default.
- W3043249932 hasConcept C71924100 @default.
- W3043249932 hasConceptScore W3043249932C118552586 @default.
- W3043249932 hasConceptScore W3043249932C119857082 @default.
- W3043249932 hasConceptScore W3043249932C126322002 @default.
- W3043249932 hasConceptScore W3043249932C127413603 @default.
- W3043249932 hasConceptScore W3043249932C13280743 @default.
- W3043249932 hasConceptScore W3043249932C134362201 @default.
- W3043249932 hasConceptScore W3043249932C142724271 @default.
- W3043249932 hasConceptScore W3043249932C154945302 @default.
- W3043249932 hasConceptScore W3043249932C15744967 @default.
- W3043249932 hasConceptScore W3043249932C201995342 @default.
- W3043249932 hasConceptScore W3043249932C205649164 @default.
- W3043249932 hasConceptScore W3043249932C205778803 @default.
- W3043249932 hasConceptScore W3043249932C2776674806 @default.
- W3043249932 hasConceptScore W3043249932C2777526511 @default.
- W3043249932 hasConceptScore W3043249932C2778538070 @default.
- W3043249932 hasConceptScore W3043249932C2779134260 @default.
- W3043249932 hasConceptScore W3043249932C2780451532 @default.
- W3043249932 hasConceptScore W3043249932C41008148 @default.
- W3043249932 hasConceptScore W3043249932C534262118 @default.
- W3043249932 hasConceptScore W3043249932C71924100 @default.
- W3043249932 hasLocation W30432499321 @default.
- W3043249932 hasOpenAccess W3043249932 @default.
- W3043249932 hasPrimaryLocation W30432499321 @default.
- W3043249932 hasRelatedWork W1584117 @default.
- W3043249932 hasRelatedWork W1750062 @default.
- W3043249932 hasRelatedWork W2000177 @default.
- W3043249932 hasRelatedWork W2476476 @default.
- W3043249932 hasRelatedWork W4085024 @default.
- W3043249932 hasRelatedWork W4179840 @default.
- W3043249932 hasRelatedWork W5173387 @default.
- W3043249932 hasRelatedWork W5813897 @default.
- W3043249932 hasRelatedWork W5835750 @default.
- W3043249932 hasRelatedWork W868042 @default.
- W3043249932 isParatext "false" @default.
- W3043249932 isRetracted "false" @default.
- W3043249932 magId "3043249932" @default.
- W3043249932 workType "book-chapter" @default.