Anshika Arora

ORCID: 0000-0003-0414-1874
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About
Contact & Profiles
Research Areas
  • Impact of Technology on Adolescents
  • Digital Mental Health Interventions
  • Mental Health Research Topics
  • Sentiment Analysis and Opinion Mining
  • Sleep and related disorders
  • Mental Health via Writing
  • Technology Adoption and User Behaviour
  • EEG and Brain-Computer Interfaces
  • Child Development and Digital Technology
  • COVID-19 and Mental Health
  • E-Learning and COVID-19
  • Customer churn and segmentation
  • Pain Management and Opioid Use
  • Digital Marketing and Social Media
  • Educational Innovations and Challenges
  • Imbalanced Data Classification Techniques
  • Functional Brain Connectivity Studies
  • Foreign Language Teaching Methods
  • Non-Invasive Vital Sign Monitoring
  • Physical Activity and Health
  • Context-Aware Activity Recognition Systems
  • Mobile Health and mHealth Applications
  • Emotion and Mood Recognition
  • Head and Neck Cancer Studies
  • Data Mining and Machine Learning Applications

Netaji Subhas University of Technology
2020-2024

Bennett University
2023-2024

Swami Rama Himalayan University
2022-2023

Institute of Medical Sciences
2023

Delhi Technological University
2019

The COVID-19 pandemic forced universities around the world to shut down their campuses indefinitely and move educational activities onto online platforms. were not prepared for such a transition teaching-learning process evolved gradually. We conducted survey in which we asked undergraduate students an Indian university about opinion on different aspects of education during ongoing pandemic. received responses from 358 students. felt that they learn better physical classrooms (65.9%) by...

10.1002/hbe2.240 article EN Human Behavior and Emerging Technologies 2020-12-17

A large community of research has been developed in recent years to analyze social media and networks, with the aim understanding, discovering insights, exploiting available information. The focus shifted from conventional polarity classification contemporary application-oriented fine-grained aspects such as, emotions, sarcasm, stance, rumor, hate speech detection user-generated content. Detecting a sarcastic tone natural language hinders performance sentiment analysis tasks. majority...

10.1109/access.2019.2899260 article EN cc-by-nc-nd IEEE Access 2019-01-01

Mental well-being and social media have been closely related domains of study. In this research a novel model, AD prediction for anxious depression in real-time tweets is proposed. This mixed anxiety-depressive disorder predominantly associated with erratic thought process, restlessness sleeplessness. Based on the linguistic cues user posting patterns, feature set defined using 5-tuple vector.

10.2139/ssrn.3383359 article EN SSRN Electronic Journal 2019-01-01

Pain is the most common symptom in admitted cancer patients. The association between severity of pain and distress symptoms such as depression anxiety a subject research.The aim to study prevalence pain, anxiety, patients determine at tertiary care institute.This was prospective observational study.We enrolled 393 inpatients prospectively after written informed consent. Their disease details, presence, severity, character were recorded. Numerical Scale used for scores, self-reporting...

10.4103/ijpc.ijpc_4_19 article EN Indian Journal of Palliative Care 2019-01-01

Despite many analgesic modalities available, postoperative pain management after breast cancer surgery remains a challenge, which translates into poor quality of recovery, if untreated. Intravenous lignocaine with its anti-inflammatory, antihyperalgesic, and properties could provide good option for these patients. The aim this study was to evaluate the effect intravenous on relief recovery in patients undergoing cancer.In prospective double-blind placebo-controlled randomised study,...

10.4103/ija.ija_126_22 article EN cc-by-nc-sa Indian Journal of Anaesthesia 2023-02-01

A Website quality model essentially consists of a set criteria used to determine if website reaches certain levels fineness. Quality attributes are imperative in predicting website. However large features may increase complexity and computational time for prediction. In this study an initial 13 is prepared two-stage feature selection based on hybrid filter-wrapper approach optimize prediction performance. the first stage, each ranked using Information Gain (IG) method. second Firefly Search...

10.1109/aicai.2019.8701362 article EN 2019-02-01

10.1007/s11227-019-03026-x article EN The Journal of Supercomputing 2019-10-18

Abstract Wearable sensor‐based devices like actigraphs collect motor activity data which provide objective measures of physical activity. This research puts forward a novel methodology for assessment sleep quality using actigraph recordings High level features sequential are extracted Long‐Short Term Memory (LSTM) model then paired with significant statistical feature namely, zero percent describes the percentage events over series. Overlapping sliding window is used to input sequences into...

10.1111/exsy.13321 article EN Expert Systems 2023-05-08

Background:: Studies are indicative of the fact that high-quality websites get better rankings on search engines. A good website is one which provides reliable content, has design and user interface can address global audience. But end-users struggle with predicament selecting qualitative websites. Although “Quality” fairly a subjective term, there an obvious need for useful valid model evaluates quality attributes website. “A Website essentially consists set criteria used to determine if...

10.2174/2666255813666190911112235 article EN Recent Advances in Computer Science and Communications 2019-09-11

Smartphones are ubiquitous platforms and the most prevalent digital media devices use by university students for various activities. The lockdowns due to COVID-19 online education making smartphones frequently longer durations leading them feel nomophobic. objective of this study is identify prevalence nomophobia among during in India using unsupervised machine learning. This conducted on 111 undergraduate (mean age: 19.93 years, S.D.: 0.69) an Indian volunteered. Their perception about...

10.1109/confluence60223.2024.10463251 article EN 2024-01-18

Smartphones have been owned and used ubiquitously in all facets of society utilized for a wide number tasks such as calling messaging, social media, surfing well entertainment.Spending large amount time on smartphone might lead to dependence it variety purposes.This study uses objective measures real usage features assess addiction.A purpose built android application collect has developed linear classification models namely Support Vector Machine Logistic Regression are predict addiction...

10.5815/ijeme.2023.01.04 article EN International Journal of Education and Management Engineering 2023-02-08

Introduction: It is a well known fact that diverse nutritional issues are associated with advanced Head and Neck Squamous Cell Cancer (HNSCC). In addition to poor nutrition, varying degrees of immunocompromisation has been noted in these patients hence important study malnutrition systemic immunity together. Aim: To determine correlation between status being treated for HNSCC. Materials Methods: A prospective observational was conducted at Research Institute (CRI) Dehradun, India period 30...

10.7860/jcdr/2023/58831.18208 article EN cc-by-nc-nd JOURNAL OF CLINICAL AND DIAGNOSTIC RESEARCH 2023-01-01
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