Naeem Aslam
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View article: Epidemiology and functional dependence of spinal cord injury survivors in Pakistan: a prospective study
Epidemiology and functional dependence of spinal cord injury survivors in Pakistan: a prospective study Open
Objective: To assess the epidemiology of traumatic spinal cord injury survivors in Pakistan, and to investigate the level of functional dependence of patients on their caregivers. Method: The cross-sectional study was conducted from Januar…
View article: Impact of Droughts on Agriculture Using SPI: A Case Study of Potohar Region, Punjab (Pakistan)
Impact of Droughts on Agriculture Using SPI: A Case Study of Potohar Region, Punjab (Pakistan) Open
Drought is a complex phenomenon that can significantly impact agricultural production. This study aimed to assess the impact of drought on agriculture in the Potohar region of Pakistan using the Standardised Precipitation Index (SPI) for 3…
View article: <b>Influence of Family Background on Entrepreneurial Ventures: Insights from Balochistan's Disabled Entrepreneurs</b>
<b>Influence of Family Background on Entrepreneurial Ventures: Insights from Balochistan's Disabled Entrepreneurs</b> Open
Entrepreneurs in Balochistan especially disabled entrepreneurs encounter numerous challenges because society views them in a negative and adverse manner and they face hurdles and barriers to obtain fundamental and basic services. Disabled …
View article: AUTOMATED LUNG CANCER RECOGNITION BY A CONVOLUTIONAL NEURAL NETWORK
AUTOMATED LUNG CANCER RECOGNITION BY A CONVOLUTIONAL NEURAL NETWORK Open
Cancer of the lung is a massively common fatal kind of cancer in not only medical practice but also the world. It is the second common cancer diagnosed and causes more than 71 % of deaths as a result of non-communicable diseases (NCDs). It…
View article: Advanced Skin Cancer Detection Using CNN and Transfer Learning
Advanced Skin Cancer Detection Using CNN and Transfer Learning Open
Because skin cancer can appear right away and may spread fast, it is considered one of the most dangerous types of cancer. When cells begin dividing faster than normal, they build up in one area, invade other tissue and move to several par…
View article: Achieving Over 30% Body Weight Loss With Semaglutide in a Patient: A Case Report
Achieving Over 30% Body Weight Loss With Semaglutide in a Patient: A Case Report Open
A 69-year-old female with morbid obesity (BMI: 47) and hypertension achieved significant weight loss following treatment with semaglutide. Starting at 241 lb, she lost 90 lb (over 30% of her body weight) over 65 weeks without side effects.…
View article: Caring for Carers: Association between Care-giving and Quality of Life of Family Carers of Spinal Cord Injury Survivors in Pakistan
Caring for Carers: Association between Care-giving and Quality of Life of Family Carers of Spinal Cord Injury Survivors in Pakistan Open
Caring for someone with a spinal cord injury (SCI) has always been a family endeavor in developed as well as developing countries like Pakistan. Majority of people with SCI need assistance of others to carry out daily life activities i.e.,…
View article: Caregiver Burden and its Psychosocial Correlates among Caregivers of Traumatic Spinal Cord Injury Survivors in Pakistan
Caregiver Burden and its Psychosocial Correlates among Caregivers of Traumatic Spinal Cord Injury Survivors in Pakistan Open
Background: Caring for someone with a spinal cord injury (SCI) has always been a family endeavor in developed as well as developing countries like Pakistan. The majority of people with SCI need assistance from others to carry out daily lif…
View article: Hybrid FNN-DNN Approach for Early Detection of Cardiac Arrhythmia: A Novel Framework for Enhanced Diagnosis
Hybrid FNN-DNN Approach for Early Detection of Cardiac Arrhythmia: A Novel Framework for Enhanced Diagnosis Open
This work introduces a relatively new hybrid approach to detect arrhythmias noninvasively at the early stages by combining Feedforward Neural Networks (FNN) with Deep Neural Networks (DNN). It is oriented towards the critical area of detec…
View article: Text-Based Sentiment Analysis Using CNN-GRU Deep Learning Model
Text-Based Sentiment Analysis Using CNN-GRU Deep Learning Model Open
Sentiment analysis identifies both positive and negative viewpoints from sources like social media, surveys, and reviews by automating text analysis with artificial intelligence (AI). Using data to inform decisions is made easier by this. …
View article: Adaptive Non-Crashing Functional Bugs in Android Applications
Adaptive Non-Crashing Functional Bugs in Android Applications Open
Because Android applications are so widely used, it is critical to make sure they are reliable and secure. Through completely automated functional fuzzing, this research presents a novel method for Android app security. Our approach uses s…
View article: Sofosbuvir-Velpatasvir for Chronic Hepatitis C Virus-Infected Children and Young Adults: Efficacy and Safety
Sofosbuvir-Velpatasvir for Chronic Hepatitis C Virus-Infected Children and Young Adults: Efficacy and Safety Open
Background: Sofosbuvir-Velpatasvir has a high efficacy in adult patients with chronic hepatitis C infection .In this study, we reported treatment outcome with this drug in children and younger adults in Pakistani population. Objective: To …
View article: Identifying High-Risk Individuals for Suicide During Covid-19 Pandemic: Prevention and Intervention
Identifying High-Risk Individuals for Suicide During Covid-19 Pandemic: Prevention and Intervention Open
Background. The mental health outcomes of the coronavirus pandemic (COVID-19) might be hazardous and may evoke a tsunami of mental illness. Multiple lines of evidence indicate that the COVID-19 pandemic has profound psychological and socia…
View article: Diabetic Retinopathy Identification from Eye Fundus images using Deep Features
Diabetic Retinopathy Identification from Eye Fundus images using Deep Features Open
Diabetes mellitus can cause diabetic retinopathy (DR), which affects the blood vessel networks in the retina of the eye. The symptoms of diabetic retinopathy may be missing or minimal. For the majority of diabetes patients, a serious probl…
View article: Using Machine Learning Models for The Prediction of Coronary Arteries Disease
Using Machine Learning Models for The Prediction of Coronary Arteries Disease Open
Globally, the leading cause of mortality among both men and women is coronary heart disease. This disease is widely recognized as the primary killer worldwide, and its early detection poses a significant challenge. Given the current state …
View article: LCCNet: A Deep Learning Based Method for the Identification of Lungs Cancer using CT Scans
LCCNet: A Deep Learning Based Method for the Identification of Lungs Cancer using CT Scans Open
Lung cancer is a highly lethal disease affecting both males and females nowadays. It is essential to identify cancer accurately at the initial stage of lung cancer. However, accurately diagnosing cancer remains a challenging task for patho…
View article: Identification of Lungs Cancer by using Watershed Machine Learning Algorithm
Identification of Lungs Cancer by using Watershed Machine Learning Algorithm Open
The most dangerous and quickly spreading form of cancer in the world is lung cancer. In terms of fatalities among cancer diseases, it comes in first place, and therapy is made more challenging by late-stage diagnosis. Early identification …
View article: Deep Emotions Recognition from Facial Expressions using Deep Learning
Deep Emotions Recognition from Facial Expressions using Deep Learning Open
Deep emotion recognition has a wide range of applications, including human-robot communication, business, movies, services hotels, and even politics. Despite the use of various supervised and unsupervised methods in many different fields, …
View article: Identifying Cancer Patients at risk for Heart Failure using deep learning models
Identifying Cancer Patients at risk for Heart Failure using deep learning models Open
The cardiotoxicity that may occur as a side effect of cancer treatments has emerged as a significant problem. Cancer patient’s quality of life may be improved if those at risk of cardiotoxicity are identified early and given prophylactic t…
View article: EVALUATION OF DIAGNOSTIC VALIDITY OF PIVKA-II FOR DIAGNOSIS OF HEPATOCELLULAR CARCINOMA IN PATIENTS OF CIRRHOSIS WITH LIVER NODULES PRESENTED IN A TERTIARY CARE HOSPITAL OF LAHORE
EVALUATION OF DIAGNOSTIC VALIDITY OF PIVKA-II FOR DIAGNOSIS OF HEPATOCELLULAR CARCINOMA IN PATIENTS OF CIRRHOSIS WITH LIVER NODULES PRESENTED IN A TERTIARY CARE HOSPITAL OF LAHORE Open
Objectives: To evaluate the diagnostic validity of PIVKA-II for Hepatocellular carcinoma in cirrhotic patients with uncertain liver nodules on Ultrasound.
Methods: This was a cross-sectional study conducted in 01-11-2020 and 31-12-2021 at…
View article: COMPARING THE EFFICACY OF CONCOMITANT THERAPY WITH THE STANDARD TRIPLE REGIMEN AS FIRST LINE THERAPY OF HELICOBACTOR PYLORI ERADICATION
COMPARING THE EFFICACY OF CONCOMITANT THERAPY WITH THE STANDARD TRIPLE REGIMEN AS FIRST LINE THERAPY OF HELICOBACTOR PYLORI ERADICATION Open
Objective: To compare the effectiveness of Concomitant therapy with standard triple regimen in H.pylori Eradication.
Methods: It was a randomised control trial at OPD of Department of Gastroenterology, Jinnah Hospital Lahore and involved …
View article: DEVELOPMENT AND VALIDATION OF COVID-19 VACCINE HESITANCYSCALE FOR GENERAL PAKISTANI POPULATION
DEVELOPMENT AND VALIDATION OF COVID-19 VACCINE HESITANCYSCALE FOR GENERAL PAKISTANI POPULATION Open
The purpose of the present study is to develop and validate the COVID-19 Vaccine Hesitancy Scale through Exploratory Factor Analysis (EFA) and the resulting factors confirmed through Confirmatory Factor Analysis (CFA). The sample of EFA co…
View article: Detection of Heart Disease Using Supervised Machine Learning
Detection of Heart Disease Using Supervised Machine Learning Open
One of the most prevailing and serious disease affecting human’s health is Heart Disease (HD). Early diagnosis may allow for heart disease prevention or reduction, which could lower the rate of death.Machine Learning techniques have produc…
View article: Improvement for Diagnosis of Gastric Cancer from Endoscopic Images using Machine Learning
Improvement for Diagnosis of Gastric Cancer from Endoscopic Images using Machine Learning Open
Detection of cancer disease in any part of a human body is of utmost importance as it can be cured completely. In this research work, a prognosis of early gastric cancer detection by applying modern machine learning algorithms augmented wi…
View article: Psychopathological symptoms as a common Risk Factor for Tinnitus distress and magnitude: a cross-sectional study
Psychopathological symptoms as a common Risk Factor for Tinnitus distress and magnitude: a cross-sectional study Open
Objective: To examine the association of tinnitus distress, tinnitus magnitude and psychopathological symptoms among patients with ear-related problems. Methods: The cross-sectional study was conducted from December 1, 2020, to June 30, 20…
View article: Exploring Pakistani Physicians' Knowledge and Practices Regarding High Alert Medications: Findings and Implications
Exploring Pakistani Physicians' Knowledge and Practices Regarding High Alert Medications: Findings and Implications Open
Introduction: While many low-middle income countries (LMICs), including Pakistan, try and ensure patient safety within available resources, there are considerable concerns with medication use. Unsafe and inappropriate medication use, espec…
View article: A cross-sectional study to understand the pervasiveness of psychiatric features among tinnitus and vertigo patients
A cross-sectional study to understand the pervasiveness of psychiatric features among tinnitus and vertigo patients Open
Objective: To identify the psychiatric features among patients having tinnitus and vertigo symptoms due to vestibulocochlear disturbances. Methods: A cross-sectional study was conducted on Vestibulocochlear disorder Patients aged 18 Years …
View article: Prospective Effects of Covid-19 on Children: Probable Complications and Interventions
Prospective Effects of Covid-19 on Children: Probable Complications and Interventions Open
The coronavirus disease 2019 (COVID-19) is an adversarial traumatic situation which has several consequences worldwide.Children are most vulnerable population to be affected by COVID-19 both physically and psychologically.Abundant literatu…
View article: Prospective Effects of Covid-19 on Children: Probable Complications and Interventions
Prospective Effects of Covid-19 on Children: Probable Complications and Interventions Open
The coronavirus disease 2019 (COVID-19) is an adversarial traumatic situation which has several consequences worldwide.Children are most vulnerable population to be affected by COVID-19 both physically and psychologically.Abundant literatu…
View article: Mental Health Consequences of the Coronavirus Pandemic
Mental Health Consequences of the Coronavirus Pandemic Open