Harnessing AI for Health and Knowledge: An Investigation into Machine and Deep Learning Models for Medical and Textual Data

The digitalization of medical information has greatly enhanced medical research by converting clinical observations and patient data into structured and unstructured textual formats, respectively. Despite the progress, there’s a notable scarcity of large-scale textual clinical data. This research de...

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Veröffentlicht in:	SN computer science Jg. 6; H. 6; S. 696
Hauptverfasser:	Abbas, Ali, Agarwal, Shreya, Jaiswal, Manish, Jha, Prajna, Siddiqui, Tanveer J.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Singapore Springer Nature Singapore 01.08.2025 Springer Nature B.V
Schlagworte:	Accuracy Classification Computer Imaging Computer Science Computer Systems Organization and Communication Networks Data Structures and Information Theory Datasets Deep learning Digitization Documents Feature selection Home environment Information Systems and Communication Service Machine learning Medical diagnosis Medical research Methods Multilayer perceptrons Multilayers Neural networks Optimization techniques Original Research Parkinson's disease Pattern Recognition and Graphics Performance evaluation Research Advancements in Intelligent Computing Social networks Software Engineering/Programming and Operating Systems Support vector machines Text categorization Unstructured data Vision Min-max scaling Naïve Bayes Document classification Machine learning Tf-Idf Artificial intelligence Multi-layer perceptron Parkinson’s disease
ISSN:	2661-8907, 2662-995X, 2661-8907
Online-Zugang:	Volltext
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