Arvind Kumar Jain
Biographic Data
| ID | 7564071 |
|---|---|
| NAME | Arvind Kumar Jain |
| GIVEN NAMES | Arvind Kumar |
| FAMILY NAME | Jain |
| SIGNATURE | JAIN A K |
| AFFILIATIONS | RAND Corporation |
| ORCID | 0000-0001-6062-3718 |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 5 |
| AUTHOR COUNT | 6 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2008 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 1 |
Financial well-being of women self-help group members
Study on handwriting features of ambidextrous persons by using image processing
Handwriting Features of Ambidextrous Persons have been classified as a multi-class classification issue in the deep learning framework, where image recognition task is effectively to test a classifier who can efficiently discriminate each line of paragraph of handwriting. This is very common for a single classifier to be performed on different data sets with a standard deep learning algorithm. It may also be that the same classifying system perfo…
Methodological considerations in designing and implementing the harmonized diagnostic assessment of dementia for longitudinal aging study in India (Lasi-DAD)
The Harmonized Diagnostic Assessment of Dementia for Longitudinal Aging Study in India (LASI-DAD) is a population-representative, prospective cohort study of late-life cognition and dementia. It is part of an ongoing international research collaboration that aims to measure and understand cognitive impairment and dementia risk by collecting a set of cognitive and neuropsychological assessments and informant reports, referred to as the Harmonized …
Early detection of influenza outbreaks using the DC Department of Health's syndromic surveillance system
When practitioners apply statistical detection algorithms to their own data, fine tuning of parameters is necessary to improve overall sensitivity. With fined tuned algorithms, our results suggest that emergency room based syndromic surveillance focusing on unspecified infection cases in children is an effective way to determine the beginning of the influenza outbreak and could serve as a trigger for more intensive surveillance efforts and initia…
Race and Sex Differences in the Receipt of Timely and Appropriate Lung Cancer Treatment
BACKGROUND: Previous research suggests that disparities in non-small-cell lung cancer (NSCLC) survival can be explained in part by disparities in the receipt of cancer treatment. Few studies, however, have considered race and sex disparities in the timing and appropriateness of treatment across stages of diagnosis. OBJECTIVE: To evaluate the relationship of sex and race with the receipt of timely and clinically appropriate NSCLC treatment for eac…
An Exploration of Urban and Rural Differences in Lung Cancer Survival Among Medicare Beneficiaries
Objectives. We tested the relationship between urban or rural residence as defined by rural–urban commuting area codes and risk of mortality in a sample of Medicare beneficiaries with lung cancer. Methods. We used Surveillance, Epidemiology, and End Results data linked with Medicare claims to build proportional hazards models. The models tested hypothesized relationships between individual and community characteristics and overall survival for a …
An Exploration of Urban and Rural Differences in Lung Cancer Survival Among Medicare Beneficiaries
Objectives. We tested the relationship between urban or rural residence as defined by rural–urban commuting area codes and risk of mortality in a sample of Medicare beneficiaries with lung cancer. Methods. We used Surveillance, Epidemiology, and End Results data linked with Medicare claims to build proportional hazards models. The models tested hypothesized relationships between individual and community characteristics and overall survival for a …
An Exploration of Urban and Rural Differences in Lung Cancer Survival Among Medicare Beneficiaries
Objectives. We tested the relationship between urban or rural residence as defined by rural–urban commuting area codes and risk of mortality in a sample of Medicare beneficiaries with lung cancer. Methods. We used Surveillance, Epidemiology, and End Results data linked with Medicare claims to build proportional hazards models. The models tested hypothesized relationships between individual and community characteristics and overall survival for a …
Early detection of influenza outbreaks using the DC Department of Health's syndromic surveillance system
When practitioners apply statistical detection algorithms to their own data, fine tuning of parameters is necessary to improve overall sensitivity. With fined tuned algorithms, our results suggest that emergency room based syndromic surveillance focusing on unspecified infection cases in children is an effective way to determine the beginning of the influenza outbreak and could serve as a trigger for more intensive surveillance efforts and initia…
Race and Sex Differences in the Receipt of Timely and Appropriate Lung Cancer Treatment
BACKGROUND: Previous research suggests that disparities in non-small-cell lung cancer (NSCLC) survival can be explained in part by disparities in the receipt of cancer treatment. Few studies, however, have considered race and sex disparities in the timing and appropriateness of treatment across stages of diagnosis. OBJECTIVE: To evaluate the relationship of sex and race with the receipt of timely and clinically appropriate NSCLC treatment for eac…
Methodological considerations in designing and implementing the harmonized diagnostic assessment of dementia for longitudinal aging study in India (Lasi-DAD)
The Harmonized Diagnostic Assessment of Dementia for Longitudinal Aging Study in India (LASI-DAD) is a population-representative, prospective cohort study of late-life cognition and dementia. It is part of an ongoing international research collaboration that aims to measure and understand cognitive impairment and dementia risk by collecting a set of cognitive and neuropsychological assessments and informant reports, referred to as the Harmonized …
Study on handwriting features of ambidextrous persons by using image processing
Handwriting Features of Ambidextrous Persons have been classified as a multi-class classification issue in the deep learning framework, where image recognition task is effectively to test a classifier who can efficiently discriminate each line of paragraph of handwriting. This is very common for a single classifier to be performed on different data sets with a standard deep learning algorithm. It may also be that the same classifying system perfo…
Financial well-being of women self-help group members
Medicine (4 works) · Environmental health (3 works) · Epidemiology (3 works) · Computer Science (2 works) · Demography (2 works) · Epidemiology (2 works) · Gerontology (2 works) · Global Cancer Incidence and Screening (2 works) · Lung cancer (2 works) · Population (2 works)