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您的检索式：作者名="Garg Divya"
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| 1 | Autism Spectrum Disorder Prediction by an Explainable Deep Learning Approach显示文摘Autism Spectrum Disorder (ASD) is a developmental disorderwhose symptoms become noticeable in early years of the age though it canbe present in any age group. ASD is a mental disorder which affects the communicational, social and non-verbal behaviors. It cannot be cured completelybut can be reduced if detected early. An early diagnosis is hampered by thevariation and severity of ASD symptoms as well as having symptoms commonly seen in other mental disorders as well. Nowadays, with the emergenceof deep learning approaches in various fields, medical experts can be assistedin early diagnosis of ASD. It is very difficult for a practitioner to identifyand concentrate on the major feature’s leading to the accurate prediction ofthe ASD and this arises the need for having an automated approach. Also,presence of different symptoms of ASD traits amongst toddlers directs tothe creation of a large feature dataset. In this study, we propose a hybridapproach comprising of both, deep learning and Explainable Artificial Intelligence (XAI) to find the most contributing features for the early and preciseprediction of ASD. The proposed framework gives more accurate predictionalong with the recommendations of predicted results which will be a vital aidclinically for better and early prediction of ASD traits amongst toddlers. | Anupam Garg Anshu Parashar Dipto Barman Sahil Jain Divya Singhal Mehedi Masud Mohamed Abouhawwash | 2022 | Computers, Materials & Continua2022，，4： | 1 |
| 2 | Pseudospectral methods for solving infinite-horizon optimal control problems显示文摘 | Garg Divya Hager W W Rao A V | 2011 | Automatica2011，47，4： | 1 |
| 3 | Direct trajectory optimization and costateestimation of finite-horizon and infinite-horizon optimalcontrol problems using a Radau pseudospectral method显示文摘 | Garg Divya Patterson Michael A Darby ChristopherL | 2011 | Computational Optimization and Applications2011，49，2： | 1 |
| 4 | A unified framework for the numerical solution ofoptimal control problems using pseudospectral methods 显示文摘 | Garg Divya Patterson Michael Hager William W | 2010 | Automatica2010，46，11： | 1 |
| 5 | The mediating role of sleep qualityon the relationship between internet gaming disorder and perceived stress and suicidal behaviour among Indian medical students显示文摘Background In the recent digital era,individuals with internet gaming disorder(IGD)have reported a much higher prevalence of poor sleep quality,perceived stress and suicidal behaviour.However,the underlying mechanisms for these psychological problems remain unknown.Aims The primary aims of this study were to explore the mediating role of sleep quality on the relationship between IGD and the health outcomes of perceived stress and suicidal behaviour and to assess the prevalence and risk factors for IGD among medical students.Methods A cross-sectional study enrolling 795 medical students from two medical colleges in a rural area of North India was conducted from April to May 2022.The study participants were chosen using a stratified random sampling approach.A self-administered questionnaire was used to collect data,including sociodemographic and personal information and gaming characteristics.The study also included the Gaming Disorder and Hazardous Gaming Scale,the Pittsburgh Sleep Quality Index,the Perceived Stress Scale-10 and the Suicide Behaviors Questionnaire-Revised to measure IGD,sleep quality,perceived stress and suicidal behaviour,respectively.Multiple logistic regression for the risk factors and Pearson's correlation test for the relationship between variables were used.Hayes'PROCESS macro for SPSS was employed to carry out mediation analysis.Results Among the 348 gamers with a mean age of 21.03(SD 3.27)years,the prevalence of IGD was 15.23%(95%confidence interval:11.6%to 19.4%).In the correlational analysis,small to large(r:0.32-0.72)significant relationships between scores of IGD and other health outcomes were established.The indirect effect(B=0.300)via sleep quality accounted for 30.55%of the total effect(B=0.982)of IGD on perceived stress(partially mediated),while sleep quality(B=0.174)accounted for 27.93%of the total effect(B=0.623)of IGD on suicidal behaviour(partially mediated).The factors of being male,living in a single-parent family,using the internet for other than academic purposes(1-3 hours and more than 3 hours/day),playing games for more than 3 hours/day and playing games with violent content were associated with IGD symptoms. | Sunny Garg Aakanksha Kharb Deepika Verma Ritu Antil Binika Khanna Ritika Sihag Divya Lamba | 2023 | General Psychiatry2023，36，3： | 0 |
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