Skip to main content

Machine Learning Aiding in the Diagnosis of Parkinson's Disease | Chapter 2 | New Frontiers in Medicine and Medical Research Vol. 9

Parkinson's disease (PD) is a neurological movement illness that is prevalent, progressive, and currently incurable. The diagnosis of Parkinson's disease is difficult, especially in the differential diagnosis of parkinsonism and in the early discovery of the disease. Machine learning techniques have been progressively applied to the diagnosis of PD, with promising findings. Machine learning techniques have been increasingly applied to the diagnosis of PD, with promising results. On magnetic resonance imaging (MRI), resting-state functional MRI (rs-fMRI), diffusion tensor imaging (DTI), and single photon emission computed tomography (SPECT) images, machine learning-based imaging applications have made it possible to automatically differentiate parkinsonism and detect PD at an early stage. In diagnosing PD-associated dopaminergic degeneration, machine learning-based SPECT image analysis apps outperformed conventional semi-quantitative analysis, performed as well as experts, and increased radiologists' PD diagnostic accuracy. Multimodal data (such as multimodal imaging and clinical data) may help with early identification of Parkinson's disease. Further refining and comprehensive validation of machine learning-based computer-aided diagnostic apps are required to incorporate them into clinical systems and make them accurate and reliable for the diagnosis of Parkinson's disease. Machine learning techniques are expected to improve differential diagnosis of parkinsonism and early PD detection, potentially lowering PD diagnosis error rates, allowing early neuroprotective treatment to slow neurodegeneration progression and prevent clinical symptoms from arising in patients with early-stage PD, and allowing proper treatment to effectively relieve patients from their symptoms.


Author (S) Details

Jing Zhang
Department of Neurology, School of Medicine, Washington University in St. Louis, St. Louis, MO 63110, USA.


View Book :- https://stm.bookpi.org/NFMMR-V9/article/view/3453


Labels:

Comments

Post a Comment

Popular posts from this blog

Greening Regional Airports: A Vision for Carbon Neutral Infrastructure | Chapter 12 | Contemporary Perspective on Science, Technology and Research Vol. 3

 This study provides an overview of the energy demand of a regional airport, divided into individual time horizons. The electrification of aircraft systems raises the question of whether airports will be among the largest electricity consumers in our infrastructure in the future. Sustainability and especially emission reductions are significant challenges for airports that are currently being addressed. The Clean Sky 2 project GENESIS addresses the environmental sustainability of hybrid-electric 50-passenger aircraft systems in a life cycle perspective to support the development of a technology roadmap for the transition to sustainable and competitive electric aircraft systems. This article originates from the GENESIS research and describes various options for ground power supply at a regional airport. Potential solutions for airport infrastructure with a short (2030), medium (2040), and long (2050) time horizon are proposed. In addition to the environmental and conservation benefi...
Post a Comment
Read more

Study on Processing Method Influences the Effect of Cassava (Manihot esculenta) Consumption on Blood Lipid Profile in Rats | Chapter 8 | Current Research and Development in Chemistry Vol.1

Cassava is consumed in many tropical countries and is fast becoming the major raw material of many diets, especially in the bakery, brewery and pharmaceutical industries. In a study to determine the effects of various formulations of Cassava feeds on blood lipid profile in rats. Forty adult Wistar rats weighing between 120 and 150 g were divided into 4 groups of 10 rats each. The rats were acclimatized for one week; fed with different formulations of Cassava feeds adlibitum, after which the rats were allotted into groups. Group 1 was fed on Garri; group 2 on Cassava flour; group 3 on Tapioca, and the control group (group 4) on normal chow. After 4 weeks, each animal was anaesthetized by exposure to chloroform vapour and blood samples collected by cardiac puncture. Group 1 diet (Garri) significantly increased HDL-cholesterol (HDL-C) concentration and significantly decreased LDL-cholesterol (LDL-C) concentration (p<0.05) compared with the control group. In Group 2 (Cassava flour), t...
Post a Comment
Read more

Ethnopharmacological Survey among Traditional Medicine Practitioners in Abidjan (Côte d'Ivoire) for the Management of Pathologies such as Malaria, ENT Diseases, Diarrhea, Typhoid Fever and Anemia | Chapter 05 | New Horizons in Medicine and Medical Research Vol. 8

 Traditional Medicine Practitioners (TMPs) of Côte d'Ivoire are familiar with the therapeutic herbs. Medicinal plants have been shown to be useful in the treatment of common diseases such as malaria (KROA, 2004) and diabetes (N'GUESSAN et al, 2013) in several studies and scientific study. In the Abidjan District, the current policy is to integrate traditional medicine and pharmacopoeia into the national health system in order to improve population health coverage, particularly in the management of commonly encountered diseases such as malaria, ENT diseases, diarrhoea, typhoid fever, and anaemia. This research aims to increase the use of traditional medicine and pharmacopoeia in the national health system. Over the course of three months, fifty (50) PMTs in the District of Abidjan participated in this study. Plant therapists accounted for 30 of the 50 PMTs polled at the end of the study, or 60%. Traditional medicine centres use 61 types of medicinal plants from 36 famili...
Post a Comment
Read more