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相关论文: Automated Schizophrenia Detection from Handwriting…

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Brain Functional Networks (BFNs), graph theoretical models of brain activity data, provide a systems perspective of complex functional connectivity within the brain. Neurological disorders are known to have basis in abnormal functional…

定量方法 · 定量生物学 2016-08-30 Megha Singh , Rahul Badhwar , Ganesh Bagler

Gene expression represents a fundamental interface between genes and environment in the development and ongoing plasticity of the human organism. Individual differences in gene expression are likely to underpin much of human diversity,…

基因组学 · 定量生物学 2019-05-31 Akram Yazdani , Raul Mendez Giraldez , Ahmad Samiei

Parkinson's disease (PD) is a progressive neurodegenerative condition characterized by the death of dopaminergic neurons, leading to various movement disorder symptoms. Early diagnosis of PD is crucial to prevent adverse effects, yet…

计算机视觉与模式识别 · 计算机科学 2025-10-07 Nabil Daiyan , Md Rakibul Haque

Machine learning models have been successfully employed in the diagnosis of Schizophrenia disease. The impact of classification models and the feature selection techniques on the diagnosis of Schizophrenia have not been evaluated. Here, we…

机器学习 · 计算机科学 2022-07-05 M. Tanveer , Jatin Jangir , M. A. Ganaie , Iman Beheshti , M. Tabish , Nikunj Chhabra

Parkinson's disease (PD) is debilitating, progressive, and clinically marked by motor symptoms. As the second most common neurodegenerative disease in the world, it affects over 10 million lives globally. Existing diagnoses methods have…

机器学习 · 计算机科学 2021-11-30 Riya Tyagi , Tanish Tyagi , Ming Wang , Lujin Zhang

Alzheimer's disease is one of the most incisive illnesses among the neurodegenerative ones, and it causes a progressive decline in cognitive abilities that, in the worst cases, becomes severe enough to interfere with daily life. Currently,…

计算机视觉与模式识别 · 计算机科学 2024-05-28 Tiziana D'Alessandro , Cristina Carmona-Duarte , Claudio De Stefano , Moises Diaz , Miguel A. Ferrer , Francesco Fontanella

Early detection is key for treating those diagnosed with specific learning disorder, which includes problems with spelling, grammar, punctuation, clarity and organization of written expression. Intervening early can prevent potential…

计算机与社会 · 计算机科学 2020-09-02 Nuriel S. Mor , Kathryn L. Dardeck

Patients with schizophrenia often display impairments in the expression of emotion and speech and those are observed in their facial behaviour. Automatic analysis of patients' facial expressions that is aimed at estimating symptoms of…

计算机视觉与模式识别 · 计算机科学 2018-08-09 Mina Bishay , Petar Palasek , Stefan Priebe , Ioannis Patras

Background and objectives: Parkinson's disease is a neurological disorder that affects the motor system producing lack of coordination, resting tremor, and rigidity. Impairments in handwriting are among the main symptoms of the disease.…

The Human Genome Project (HGP) provides researchers with the data of nearly all human genes and the challenge to use this information for elucidating the etiology of common disorders. A secondary Darwinian method was applied to HGP and…

无序系统与神经网络 · 物理学 2015-03-26 Hans W. M. Moises

Both neurobiological and environmental factors are known to play a role in the origin of schizophrenia, but no model has been proposed that accounts for both. This work presents a functional model of schizophrenia that merges psychodynamic…

神经元与认知 · 定量生物学 2017-03-10 Alessandro Fontana

This study focuses on how different modalities of human communication can be used to distinguish between healthy controls and subjects with schizophrenia who exhibit strong positive symptoms. We developed a multi-modal schizophrenia…

信号处理 · 电气工程与系统科学 2024-04-22 Gowtham Premananth , Yashish M. Siriwardena , Philip Resnik , Carol Espy-Wilson

Hand preference and degree of handedness (DoH) are two different aspects of human behavior which are often confused to be one. DoH is a person's inherent capability of the brain; affected by nature and nurture. In this study, we used…

人工智能 · 计算机科学 2024-12-03 Smriti Bala , Venugopalan Y. Vishnu , Deepak Joshi

This survey presents the most relevant neural network models of autism spectrum disorder and schizophrenia, from the first connectionist models to recent deep network architectures. We analyzed and compared the most representative symptoms…

神经元与认知 · 定量生物学 2019-11-22 Pablo Lanillos , Daniel Oliva , Anja Philippsen , Yuichi Yamashita , Yukie Nagai , Gordon Cheng

Motor dysfunction is a common sign of neurodegenerative diseases (NDs) such as Parkinson's disease (PD) and Alzheimer's disease (AD), but may be difficult to detect, especially in the early stages. In this work, we examine the behavior of a…

神经元与认知 · 定量生物学 2025-10-23 Thomas Thebaud , Anna Favaro , Casey Chen , Gabrielle Chavez , Laureano Moro-Velazquez , Ankur Butala , Najim Dehak

Schizophrenia is a serious psychiatric disorder. Its pathogenesis is not completely clear, making it difficult to treat patients precisely. Because of the complicated non-Euclidean network structure of the human brain, learning critical…

计算机视觉与模式识别 · 计算机科学 2024-08-28 Yuhong Jiao , Jiaqing Miao , Jinnan Gong , Hui He , Ping Liang , Cheng Luo , Ying Tan

Doctors typically write in incomprehensible handwriting, making it difficult for both the general public and some pharmacists to understand the medications they have prescribed. It is not ideal for them to write the prescription quietly and…

计算机视觉与模式识别 · 计算机科学 2022-10-24 Pavithiran G , Sharan Padmanabhan , Nuvvuru Divya , Aswathy V , Irene Jerusha P , Chandar B

Schizophrenia (SZ) is a mental disorder that typically emerges in late adolescence or early adulthood. It reduces the life expectancy of patients by 15 years. Abnormal behavior, perception of emotions, social relationships, and reality…

Learning disabilities, which primarily interfere with the basic learning skills such as reading, writing and math, are known to affect around 10% of children in the world. The poor motor skills and motor coordination as part of the…

机器学习 · 计算机科学 2022-06-28 Jayakanth Kunhoth , Somaya Al-Maadeed , Suchithra Kunhoth , Younus Akbari

One notable method for recording brainwaves to identify neurological problems is electroencephalography (hereafter EEG). A trained neuro physician can learn more about how the brain functions through the use of EEGs. However conventionally,…

神经元与认知 · 定量生物学 2024-02-26 Hari Prasad SV