Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Artificial intelligence in disease diagnostics: A critical review and classification on the current state of research guiding future direction
The diagnosis of diseases is decisive for planning proper treatment and ensuring the well-
being of patients. Human error hinders accurate diagnostics, as interpreting medical …
being of patients. Human error hinders accurate diagnostics, as interpreting medical …
Artificial intelligence for assisting diagnostics and assessment of Parkinson's disease—A review
Artificial intelligence, specifically machine learning, has found numerous applications in
computer-aided diagnostics, monitoring and management of neurodegenerative movement …
computer-aided diagnostics, monitoring and management of neurodegenerative movement …
Artificial intelligence, machine learning and reasoning in health informatics—Case studies
Abstract To apply Artificial Intelligence (AI), Machine Learning (ML) and Machine Reasoning
(MR) in health informatics are often challenging as they comprise with multivariate …
(MR) in health informatics are often challenging as they comprise with multivariate …
Automated methods for diagnosis of Parkinson's disease and predicting severity level
The recent advancements in information technology and bioinformatics have led to
exceptional contributions in medical sciences. Extensive developments have been recorded …
exceptional contributions in medical sciences. Extensive developments have been recorded …
Artificial intelligence in psychological practice: Current and future applications and implications.
DD Luxton - Professional Psychology: Research and Practice, 2014 - psycnet.apa.org
This article reviews developments in artificial intelligence (AI) technologies and their current
and prospective applications in clinical psychological practice. Some of the principal AI …
and prospective applications in clinical psychological practice. Some of the principal AI …
Medical big data: neurological diseases diagnosis through medical data analysis
Diagnosis of neurological diseases is a growing concern and one of the most difficult
challenges for modern medicine. According to the World Health Organisation's recent report …
challenges for modern medicine. According to the World Health Organisation's recent report …
Automatic detection of Parkinson's disease based on acoustic analysis of speech
This paper proposes a methodology to detect early signs of Parkinson's disease (PD)
through free-speech in uncontrolled background conditions. The early detection mechanism …
through free-speech in uncontrolled background conditions. The early detection mechanism …
Machine learning techniques for the Schizophrenia diagnosis: A comprehensive review and future research directions
Schizophrenia (SCZ) is a brain disorder where different people experience different
symptoms, such as hallucination, delusion, flat-talk, disorganized thinking, etc. In the long …
symptoms, such as hallucination, delusion, flat-talk, disorganized thinking, etc. In the long …
Accuracy improvement for predicting Parkinson's disease progression
Parkinson's disease (PD) is a member of a larger group of neuromotor diseases marked by
the progressive death of dopamineproducing cells in the brain. Providing computational …
the progressive death of dopamineproducing cells in the brain. Providing computational …
[HTML][HTML] Speech analysis for diagnosis of Parkinson's disease using genetic algorithm and support vector machine
Parkinson's disease (PD) is the most common disease of motor system degeneration that
occurs when the dopamine-producing cells are damaged in substantia nigra. To detect PD …
occurs when the dopamine-producing cells are damaged in substantia nigra. To detect PD …