Muhammad Daniyal
Biographic Data
| ID | 7311772 |
|---|---|
| NAME | Muhammad Daniyal |
| GIVEN NAMES | Muhammad |
| FAMILY NAME | Daniyal |
| SIGNATURE | DANIYAL M |
| AFFILIATIONS | Islamia University of Bahawalpur |
| ORCID | 0000-0002-5663-5211 |
| VERIFIED | Yes |
| TOTAL WORKS | 9 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 9 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Beyond the curriculum
BACKGROUND: Medical institutions have a structured program that provides residents with in-depth research training. The main aim of this study is to explore residents' perceptions regarding the impact of the residency research program, their satisfaction with the program, the barriers and challenges they experienced, and potential areas for future improvement. METHODS: The Almoosa residency research program (ARRP) was implemented in 2021 as an es…
Responding to overlapping crises
We present our experience of addressing a novel challenge of managing COVID-19 during the pandemic among Afghan nationals who arrived in the United Kingdom. Various schemes were introduced to resettle Afghan nationals who supported UK Forces in Afghanistan. The initial Ex-Gratia Scheme was expanded in December 2020 to the Afghanistan Relocation and Assistance Policy. In January 2022, the Afghan Citizens Resettlement Scheme was launched. Many Afgh…
Modeling and forecasting air pollution for public health protection based on ML and time series models in Gulf Cooperation Council (GCC) countries
Air pollution is a serious environmental factor associated with higher rates of illness and death from respiratory, cardiovascular, and other non-communicable diseases. Accurate prediction is vital for assessing health risks, which would guide the public health experts and shape sustainable policies. This study aims to provide a modelling approach by comparing traditional, non-parametric, and machine learning based hybrid models, the first of its…
Domestic violence and childhood trauma among married women using machine learning approach
The present study revealed a positive correlation between CT and DV. Women who experienced emotional neglect or abuse during childhood were more likely to report controlling behaviors and psychological violence in their relationships. CT was reported more frequently than DV and women with higher education levels reported greater childhood trauma. Even with low prevalence, such sensitive subjects must not be discredited. Saudi women should embrace…
Using the multilayer perceptron approach to explore the relationship between Pubg gaming, sleep disorder, quality of life, and migraine
The study concluded that PUBG playing contributes to migraine and its associated symptoms although is not significant it contributes to less sleep quality and lower quality of life
Forecasting cardiovascular disease mortality using artificial neural networks in Sindh, Pakistan
Cardiovascular disease (CVD) is a leading cause of death and disability worldwide, and its incidence and prevalence are increasing in many countries. Modeling of CVD plays a crucial role in understanding the trend of CVD death cases, evaluating the effectiveness of interventions, and predicting future disease trends. This study aims to investigate the modeling and forecasting of CVD mortality, specifically in the Sindh province of Pakistan. The c…
Relationship between gaming disorder across various dimensions among Pubg players
This study highlights several noteworthy factors, including gaming disorder, religious affiliation, motivation level, and gaming addiction. These factors offer valuable insights into understanding gaming behavior and devising effective interventions
A Novel Study on Machine Learning Algorithm-Based Cardiovascular Disease Prediction
Cardiovascular disease (CVD) is a life-threatening disease rising considerably in the world. Early detection and prediction of CVD as well as other heart diseases might protect many lives. This requires tact clinical data analysis. The potential of predictive machine learning algorithms to develop the doctor’s perception is essential to all stakeholders in the health sector since it can augment the efforts of doctors to have a healthier climate f…
The Relationship between Cellphone Usage on the Physical and Mental Wellbeing of University Students
(1) Background: The study aims to examine the use of cell phones on physical and mental health status and their impact on personality among university students. (2) Methods: A cross-sectional study was conducted using a semi-structured questionnaire. The association of physical and mental health variables with the demographic variables was examined using Pearson's correlation and χ 2 -test. The binary logistic regression model was further used to…
No prominent works on this page.
The Relationship between Cellphone Usage on the Physical and Mental Wellbeing of University Students
(1) Background: The study aims to examine the use of cell phones on physical and mental health status and their impact on personality among university students. (2) Methods: A cross-sectional study was conducted using a semi-structured questionnaire. The association of physical and mental health variables with the demographic variables was examined using Pearson's correlation and χ 2 -test. The binary logistic regression model was further used to…
Relationship between gaming disorder across various dimensions among Pubg players
This study highlights several noteworthy factors, including gaming disorder, religious affiliation, motivation level, and gaming addiction. These factors offer valuable insights into understanding gaming behavior and devising effective interventions
A Novel Study on Machine Learning Algorithm-Based Cardiovascular Disease Prediction
Cardiovascular disease (CVD) is a life-threatening disease rising considerably in the world. Early detection and prediction of CVD as well as other heart diseases might protect many lives. This requires tact clinical data analysis. The potential of predictive machine learning algorithms to develop the doctor’s perception is essential to all stakeholders in the health sector since it can augment the efforts of doctors to have a healthier climate f…
Domestic violence and childhood trauma among married women using machine learning approach
The present study revealed a positive correlation between CT and DV. Women who experienced emotional neglect or abuse during childhood were more likely to report controlling behaviors and psychological violence in their relationships. CT was reported more frequently than DV and women with higher education levels reported greater childhood trauma. Even with low prevalence, such sensitive subjects must not be discredited. Saudi women should embrace…
Using the multilayer perceptron approach to explore the relationship between Pubg gaming, sleep disorder, quality of life, and migraine
The study concluded that PUBG playing contributes to migraine and its associated symptoms although is not significant it contributes to less sleep quality and lower quality of life
Forecasting cardiovascular disease mortality using artificial neural networks in Sindh, Pakistan
Cardiovascular disease (CVD) is a leading cause of death and disability worldwide, and its incidence and prevalence are increasing in many countries. Modeling of CVD plays a crucial role in understanding the trend of CVD death cases, evaluating the effectiveness of interventions, and predicting future disease trends. This study aims to investigate the modeling and forecasting of CVD mortality, specifically in the Sindh province of Pakistan. The c…
Beyond the curriculum
BACKGROUND: Medical institutions have a structured program that provides residents with in-depth research training. The main aim of this study is to explore residents' perceptions regarding the impact of the residency research program, their satisfaction with the program, the barriers and challenges they experienced, and potential areas for future improvement. METHODS: The Almoosa residency research program (ARRP) was implemented in 2021 as an es…
Responding to overlapping crises
We present our experience of addressing a novel challenge of managing COVID-19 during the pandemic among Afghan nationals who arrived in the United Kingdom. Various schemes were introduced to resettle Afghan nationals who supported UK Forces in Afghanistan. The initial Ex-Gratia Scheme was expanded in December 2020 to the Afghanistan Relocation and Assistance Policy. In January 2022, the Afghan Citizens Resettlement Scheme was launched. Many Afgh…
Modeling and forecasting air pollution for public health protection based on ML and time series models in Gulf Cooperation Council (GCC) countries
Air pollution is a serious environmental factor associated with higher rates of illness and death from respiratory, cardiovascular, and other non-communicable diseases. Accurate prediction is vital for assessing health risks, which would guide the public health experts and shape sustainable policies. This study aims to provide a modelling approach by comparing traditional, non-parametric, and machine learning based hybrid models, the first of its…
Medicine (6 works) · Biostatistics (4 works) · Public health (4 works) · Clinical Psychology (3 works) · Clinical Psychology (3 works) · Cross-sectional study (3 works) · Epidemiology (3 works) · Internal Medicine (3 works) · Psychiatry (3 works) · Artificial Intelligence in Healthcare (2 works)