Machine learning for genetic prediction of psychiatric disorders: a systematic review
Abstract Machine learning methods have been employed to make predictions in psychiatry
from genotypes, with the potential to bring improved prediction of outcomes in psychiatric …
from genotypes, with the potential to bring improved prediction of outcomes in psychiatric …
Machine learning based disease prediction from genotype data
N Katsaouni, A Tashkandi, L Wiese… - Biological Chemistry, 2021 - degruyter.com
Using results from genome-wide association studies for understanding complex traits is a
current challenge. Here we review how genotype data can be used with different machine …
current challenge. Here we review how genotype data can be used with different machine …
[HTML][HTML] Comparison of the performance of machine learning-based algorithms for predicting depression and anxiety among University Students in Bangladesh: A …
MIH Nayan, MSG Uddin, MI Hossain… - Asian Journal of …, 2022 - journals.lww.com
Methods: A structured questionnaire-based online survey was conducted on 2121 university
students (private and public) living in Bangladesh. After obtaining informed consent, the …
students (private and public) living in Bangladesh. After obtaining informed consent, the …
Introduction to machine learning
Abstract Machine learning is becoming increasingly popular in the neuroscientific literature.
However, navigating the literature can easily become overwhelming, especially for the …
However, navigating the literature can easily become overwhelming, especially for the …
Deep Learning based techniques for Neuro-degenerative disorders detection
LK Varanasi, CM Dasari - Engineering Applications of Artificial Intelligence, 2023 - Elsevier
Mental disorders are neural issues that influence brain cognition and social connectivity.
The significant increase in mental disorders needs prompt detection for effective treatment …
The significant increase in mental disorders needs prompt detection for effective treatment …
Machine learning approaches for the prediction of obesity using publicly available genetic profiles
This paper presents a novel approach based on the analysis of genetic variants from
publicly available genetic profiles and the manually curated database, the National Human …
publicly available genetic profiles and the manually curated database, the National Human …
A pattern of cognitive deficits stratified for genetic and environmental risk reliably classifies patients with schizophrenia from healthy control subjects
Background Schizophrenia risk is associated with both genetic and environmental risk
factors. Furthermore, cognitive abnormalities are established core characteristics of …
factors. Furthermore, cognitive abnormalities are established core characteristics of …
[HTML][HTML] Prediction of transition to psychosis from an at-risk mental state using structural neuroimaging, genetic, and environmental data
Introduction Psychosis is usually preceded by a prodromal phase in which patients are
clinically identified as being at in an “At Risk Mental State”(ARMS). A few studies have …
clinically identified as being at in an “At Risk Mental State”(ARMS). A few studies have …
Convergence and divergence of neurocognitive patterns in schizophrenia and depression
S Liang, MRG Brown, W Deng, Q Wang, X Ma… - Schizophrenia …, 2018 - Elsevier
Background Neurocognitive impairments are frequently observed in schizophrenia and
major depressive disorder (MDD). However, it remains unclear whether reported …
major depressive disorder (MDD). However, it remains unclear whether reported …
Improving enzyme regulatory protein classification by means of SVM-RFE feature selection
C Fernandez-Lozano, E Fernández-Blanco… - Molecular …, 2014 - pubs.rsc.org
Enzyme regulation proteins are very important due to their involvement in many biological
processes that sustain life. The complexity of these proteins, the impossibility of identifying …
processes that sustain life. The complexity of these proteins, the impossibility of identifying …