Sandjai Bhulai
Biographic Data
| ID | 7452326 |
|---|---|
| NAME | Sandjai Bhulai |
| GIVEN NAMES | Sandjai |
| FAMILY NAME | Bhulai |
| SIGNATURE | BHULAI S |
| AFFILIATIONS | Vrije Universiteit Amsterdam |
| ORCID | 0000-0003-1124-8821 |
| VERIFIED | Yes |
| TOTAL WORKS | 7 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 7 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Deductively coding psychosocial autopsy interview data using a few-shot learning large language model
Background: Psychosocial autopsy is a retrospective study of suicide, aimed to identify emerging themes and psychosocial risk factors. It typically relies heavily on qualitative data from interviews or medical documentation. However, qualitative research has often been scrutinized for being prone to bias and is notoriously time- and cost-intensive. Therefore, the current study aimed to investigate if a Large Language Model (LLM) can be feasibly i…
Study progression and degree completion of autistic students in higher education
Individuals with autism increasingly enroll in universities, but researchers know little about how their study progresses over time towards degree completion. This exploratory population study uses structural equation modeling to examine patterns in study progression and degree completion of bachelor’s students with autism spectrum disorder ( n = 101) in comparison to students with other recorded conditions ( n = 2,465) and students with no recor…
Forecasting call and chat volumes at online helplines for mental health
(S)ARIMA models can best be used to forecast the number of daily chats and phone calls with a MAPE of less than 10 in short-term forecasting. These models perform better than other models showing that the number of arrivals depends on historical data. These forecasts can be used as support for planning the number of counselors needed. Furthermore, the questionnaire data show that the workload experienced by senior counselors is more dependent on …
Detecting changes in help seeker conversations on a suicide prevention helpline during the Covid− 19 pandemic
While mentions of distraction, social interaction and plans for suicide decreased, expressions of gratefulness for the helpline increased, highlighting the importance of contact to help seekers during the lockdown. Help seekers under 30, male or who live alone, showed changes that negatively related to suicidality and should be monitored closely
Forecasting Spatio-Temporal Variation in Residential Burglary with the Integrated Laplace Approximation Framework
Identifying socio-demographic risk factors for suicide using data on an individual level
We confirmed previously known risk factors such as male gender, middle-age, and low income and found that they are risk factors that are robust to intercorrelation. We found that debt and urbanicity were mostly insignificant and found that the regional differences found in raw frequencies are mostly explained away after correction of correlating risk factors, indicating that these differences were primarily caused due to the differences in the de…
Demographic Risk Factors for Suicide among Youths in The Netherlands
In 2000 to 2016 the highest number of suicides among Dutch youths under 20 in any given year was 58 in 2013. In 2017 this number increased to 81 youth suicides. To get more insight in what types of youths died by suicide, particularly in recent years (2013-2017) we looked at micro-data of Statistics Netherlands and counted suicides among youths till 23, split out along gender, age, regions, immigration background and place in household and compar…
No prominent works on this page.
Demographic Risk Factors for Suicide among Youths in The Netherlands
In 2000 to 2016 the highest number of suicides among Dutch youths under 20 in any given year was 58 in 2013. In 2017 this number increased to 81 youth suicides. To get more insight in what types of youths died by suicide, particularly in recent years (2013-2017) we looked at micro-data of Statistics Netherlands and counted suicides among youths till 23, split out along gender, age, regions, immigration background and place in household and compar…
Forecasting Spatio-Temporal Variation in Residential Burglary with the Integrated Laplace Approximation Framework
Identifying socio-demographic risk factors for suicide using data on an individual level
We confirmed previously known risk factors such as male gender, middle-age, and low income and found that they are risk factors that are robust to intercorrelation. We found that debt and urbanicity were mostly insignificant and found that the regional differences found in raw frequencies are mostly explained away after correction of correlating risk factors, indicating that these differences were primarily caused due to the differences in the de…
Detecting changes in help seeker conversations on a suicide prevention helpline during the Covid− 19 pandemic
While mentions of distraction, social interaction and plans for suicide decreased, expressions of gratefulness for the helpline increased, highlighting the importance of contact to help seekers during the lockdown. Help seekers under 30, male or who live alone, showed changes that negatively related to suicidality and should be monitored closely
Study progression and degree completion of autistic students in higher education
Individuals with autism increasingly enroll in universities, but researchers know little about how their study progresses over time towards degree completion. This exploratory population study uses structural equation modeling to examine patterns in study progression and degree completion of bachelor’s students with autism spectrum disorder ( n = 101) in comparison to students with other recorded conditions ( n = 2,465) and students with no recor…
Forecasting call and chat volumes at online helplines for mental health
(S)ARIMA models can best be used to forecast the number of daily chats and phone calls with a MAPE of less than 10 in short-term forecasting. These models perform better than other models showing that the number of arrivals depends on historical data. These forecasts can be used as support for planning the number of counselors needed. Furthermore, the questionnaire data show that the workload experienced by senior counselors is more dependent on …
Deductively coding psychosocial autopsy interview data using a few-shot learning large language model
Background: Psychosocial autopsy is a retrospective study of suicide, aimed to identify emerging themes and psychosocial risk factors. It typically relies heavily on qualitative data from interviews or medical documentation. However, qualitative research has often been scrutinized for being prone to bias and is notoriously time- and cost-intensive. Therefore, the current study aimed to investigate if a Large Language Model (LLM) can be feasibly i…
Medicine (6 works) · Suicide and Self-Harm Studies (4 works) · Computer Science (3 works) · Demography (3 works) · Mental Health Treatment and Access (3 works) · Poison control (3 works) · Psychology (3 works) · Public health (3 works) · Suicide prevention (3 works) · Artificial Intelligence (2 works)