DIAGNOSIS OF MEDICAL CONDITIONS IN PATIENTS USING MACHINE LEARNING MODELS
NeuroQuantology
; 20(16):2289-2297, 2022.
Article
in English
| ProQuest Central | ID: covidwho-20240088
ABSTRACT
A variety of patient care and intelligent health systems can benefit from the implementation of artificial intelligence as a tool to aid caregivers. Machine learning and deep learning are two types of AI that are increasingly being used in the medical industry. Artificial intelligence methods require a large amount of clinical data from a range of imaging modalities for correct disease diagnosis. In addition, AI has greatly enhanced the quality of hospital stays, allowing patients to be released sooner and complete their recoveries at home. This article aims to provide the information on the field of AI subset i.e., machine learning-based disease detection with information that will aid them in making better decision making. This helps the researchers to classify the medical conditions in patients with a prominent dataset.
Physics; Diagnosis; Medical Conditions; Machine Learning; Patients; Deep learning; Artificial intelligence; Decision making; Medical diagnosis; Research; Computer science; Data mining; Cardiovascular disease; Mathematical functions; Data collection; Professionals; Algorithms; Coronaviruses; Breast cancer; Alzheimers disease
Full text:
Available
Collection:
Databases of international organizations
Database:
ProQuest Central
Type of study:
Prognostic study
Language:
English
Journal:
NeuroQuantology
Year:
2022
Document Type:
Article
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