A5021374702- Artificial Intelligence in Healthcare
- Software Engineering Research
- Software Reliability and Analysis Research
- AI in cancer detection
- Statistical Methods in Clinical Trials
- Radiomics and Machine Learning in Medical Imaging
- Prostate Cancer Treatment and Research
- Prostate Cancer Diagnosis and Treatment
- Software Engineering Techniques and Practices
- Machine Learning in Healthcare
- Data Mining Algorithms and Applications
- Software System Performance and Reliability
- Artificial Intelligence in Healthcare and Education
- Open Source Software Innovations
- Cancer, Lipids, and Metabolism
- Digital Mental Health Interventions
- Gene expression and cancer classification
- Sentiment Analysis and Opinion Mining
- Cardiac Arrest and Resuscitation
- Software Testing and Debugging Techniques
- Liver Disease Diagnosis and Treatment
- Liver Disease and Transplantation
- Alcohol Consumption and Health Effects
- Water Quality Monitoring Technologies
- Hydrological Forecasting Using AI
University of Delhi
2023-2024
Guru Teg Bahadur Hospital
2023-2024
Jamia Millia Islamia
2019-2023
Guru Gobind Singh Indraprastha University
2023
University Hospitals Sussex NHS Foundation Trust
2020
Ambedkar University Delhi
2018
Indian Institute of Technology Delhi
2017
Centre for Development of Advanced Computing
2016
Ovarian cancer is the third most common gynecologic cancers worldwide. Advanced ovarian patients bear a significant mortality rate. Survival estimation essential for clinicians and to understand better tolerate future outcomes. The present study intends investigate different survival predictors available prognosis using data mining techniques. Dataset of 140 advanced containing from profiles (clinical, treatment, overall life quality) has been collected used foresee patients' survival....
Background: Cancer treatment is expensive and results in a lot of side effects, thus survival prediction necessary for the patients as well clinician. Data mining technology has been used medical domain to extract interesting information. prognosis such an application medicine. Objective: This study focuses on identifying technologies recent past predicting cancer patients. Supervised, semi-supervised unsupervised techniques have over years successfully different types cancer. Methods: A...
Purpose The incidence of prostate cancer is increasing from the past few decades. Various studies have tried to determine survival patients, but metastatic still not extensively explored. rate very less compared earlier stages. study aims investigate survivability based on age group which a patient belongs, and difference between significance attributes for different groups. Design/methodology/approach Data patients was collected hospital in India. Two predictive models were built...
A fault in a module may cause failure of the system. Faults pose great challenge for testing and maintenance phase. Fault prediction is utmost importance to reduce costs involved software development life cycle. Most studies use past history projects predicting prone modules. Not much higher results are recorded case cross project prediction. In this paper, researcher tries explain various metrics classification techniques used It also describes list improve Further, an integrated approach...
Water quality assessment is essential for safeguarding public health and protecting water resources. This study focused on predicting quality, specifically the presence of total coliforms, using various machine-learning techniques. The present utilises a publicly available dataset encompassing geographical area India consisting physical parameters. Various regression techniques were applied to after appropriate pre-processing including feature selection normalisation. findings demonstrate...
Since exhaustive testing is not possible, prediction of fault prone modules can be used for prioritizing the components a software system. Various approaches have been proposed modules. Most them uses module metrics as quality estimators. In this study, we tokenbased approach and combine metric evaluated from our with to further improve results. We conducted experiment on an open source project evaluating approach. The compared existing filtering technique. results show that improvement over
The incidence of prostate cancer is increasing worldwide. A significant proportion patients develop metastatic disease and are initially prescribed androgen deprivation therapy (ADT). However, subsequent sequences treatments in real-world settings that may improve overall survival remain an area active investigation.
<h3>ABSTRACT</h3> <h3>Objective</h3> 'Sensible on Strength' (SoS), a local public health initiative, is aimed at reducing high-strength beer and cider availability. The objective of this study was to assess its impact hospital admissions with alcohol-related liver disease (ALD) drinking behaviour. <h3>Design</h3> This retrospective cohort in patients admitted decompensated ALD, 3 years before after the introduction SoS initiative. Hospital records 143 index ALD were reviewed. Outcomes...