Machine-learning-based disease diagnosis: A comprehensive review
MM Ahsan, SA Luna, Z Siddique - Healthcare, 2022 - mdpi.com
Globally, there is a substantial unmet need to diagnose various diseases effectively. The
complexity of the different disease mechanisms and underlying symptoms of the patient …
complexity of the different disease mechanisms and underlying symptoms of the patient …
A transdiagnostic review of negative symptom phenomenology and etiology
GP Strauss, AS Cohen - Schizophrenia bulletin, 2017 - academic.oup.com
In the DSM5, negative symptoms are 1 of the 5 core dimensions of psychopathology
evaluated for schizophrenia. However, negative symptoms are not pathognomonic—they …
evaluated for schizophrenia. However, negative symptoms are not pathognomonic—they …
Medical diagnostic systems using artificial intelligence (ai) algorithms: Principles and perspectives
Disease diagnosis is the identification of an health issue, disease, disorder, or other
condition that a person may have. Disease diagnoses could be sometimes very easy tasks …
condition that a person may have. Disease diagnoses could be sometimes very easy tasks …
Bias investigation in artificial intelligence systems for early detection of Parkinson's disease: a narrative review
Background and Motivation: Diagnosis of Parkinson's disease (PD) is often based on
medical attention and clinical signs. It is subjective and does not have a good prognosis …
medical attention and clinical signs. It is subjective and does not have a good prognosis …
Principles and Perspectives in Medical Diagnostic Systems Employing Artificial Intelligence (AI) Algorithms
The process of identifying a health problem, illness, disorder, or other condition is known as
disease diagnosis. Diagnosing certain diseases may be quite simple at times, but there may …
disease diagnosis. Diagnosing certain diseases may be quite simple at times, but there may …
Efficient diagnosis system for Parkinson's disease using deep belief network
AH Al-Fatlawi, MH Jabardi… - 2016 IEEE Congress on …, 2016 - ieeexplore.ieee.org
In this paper, a deep belief network (DBN) has been adopted as an efficient technique to
diagnosis the Parkinson's disease (PD). This diagnosis has been established based on the …
diagnosis the Parkinson's disease (PD). This diagnosis has been established based on the …
Cardiovascular/stroke risk stratification in diabetic foot infection patients using deep learning-based artificial intelligence: an investigative study
NN Khanna, MA Maindarkar, V Viswanathan… - Journal of clinical …, 2022 - mdpi.com
A diabetic foot infection (DFI) is among the most serious, incurable, and costly to treat
conditions. The presence of a DFI renders machine learning (ML) systems extremely …
conditions. The presence of a DFI renders machine learning (ML) systems extremely …
Machine learning algorithms for the diagnosis of Alzheimer and Parkinson disease
RS Nancy Noella, J Priyadarshini - Journal of Medical Engineering …, 2023 - Taylor & Francis
Dementia is a general term used to indicate any disorder related to human memory. The
various memory-related problems severely affect the human brain and so the individual …
various memory-related problems severely affect the human brain and so the individual …
Parkinson disease prediction using machine learning algorithm
Parkinson disease, the second most common neurological disorder that causes significant
disability, reduces the quality of life and has no cure. Approximately, 90% affected people …
disability, reduces the quality of life and has no cure. Approximately, 90% affected people …
[PDF][PDF] Machine learning based approaches for prediction of Parkinson's disease
AK Tiwari - Mach Learn Appl, 2016 - academia.edu
The prediction of Parkinson's disease is most important and challenging problem for
biomedical engineering researchers and doctors. The symptoms of disease are investigated …
biomedical engineering researchers and doctors. The symptoms of disease are investigated …