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Characteristics of Low Back Pain in Medical Students of Muhammadiyah Jakarta University Class of 2019 After Online Class for One Semester Rizkiandini, Sulfa; Hamzah, Zainy
Asian Australasian Neuro and Health Science Journal (AANHS-J) Vol. 5 No. 1 (2023): AANHS Journal
Publisher : Talenta Universitas Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/aanhsj.v5i1.11177

Abstract

Introduction: Lower back pain (LBP) is a complaint that is often felt by everyone in everyday life. In 2010 the Global Burden of Disease Study estimated low back pain to be one of the top ten diseases and injuries with the highest number in the world. According to research conducted by Altinel in 2008, about 62% of adults experience LBP as a result of sitting too long in the wrong position. The wrong sitting attitude of someone at work will affect the unfavorable results of their work. Method: This research is a descriptive analytic survey research, which aims to know about low back pain of  the students of the Medical Education Study Program Class of 2019. approach used in this study is "cross sectional study", with a total sample of 113 respondents. Result: From the 113 respondents the results of research conducted through a questionnaire, there were 59 respondents (52.2%) who were researched having a low back pain. In the category based on the length of study, 59 respondents (52.2%) experienced LBP complaints and the results of statistical analysis (P = 0.030) where there was a significant relationship between the length of study and LBP complaints. In the category of the relationship between sitting position when doing online, there were 59 respondents (52.2%) and the results of statistical analysis (P = 0.526), there was no significant relationship in the position category when doing online with LBP complaints and in the sitting position category when learning was obtained 59 respondents (52.2%) and the results of statistical analysis (P = 0.183), namely that there was no significant relationship in the category of learning position with LBP complaints. Conclusion: There is no significant relationship between learning position and length of study with complaints of low back pain in students of 2019 Medicine Program of Muhammadiyah Jakarta University. Because, the improper sitting position and duration of study are not solely factor that lead to low back pain.
PHENYTOIN AS A PROPHYLAXIS OF POST-TRAUMATIC SEIZURES IN HEAD TRAUMA PATIENTS AT JAKARTA ISLAMIC HOSPITAL CEMPAKA PUTIH IN 2020-2022 Maulana, Tegar; Andra, Dekka; khairunnisa; Hamzah, Zainy
Asian Australasian Neuro and Health Science Journal (AANHS-J) Vol. 5 No. 2 (2023): AANHS Journal
Publisher : Talenta Universitas Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/aanhsj.v5i2.12507

Abstract

Introduction: Post-traumatic seizures can occur as a complication of head injury, whether it is immediately after the head injury to months or years after. Phenytoin is an anti-epileptic drug that has been used widely as a prophylaxis for posttraumatic seizures. Method: The study was conducted retrospectively using medical records of head trauma patients in hospitals in 2020-2022 on 54 samples treated up to seven days post-trauma. Samples were obtained which were then analyzed by medical records, looking at the patient's identity, patient diagnosis, seizure symptoms, and history of anti-seizure drugs. Result: Patients given phenytoin prophylaxis [22 (40.7%)] who did not have seizures [18 (33.3%)] were more than patients who had seizures [4 (7.4%)]. Similar results occurred in patients without phenytoin prophylaxis [32 (59.3%)], more patients with no seizures [30 (55.6%)] than those with seizures [2 (3.7%)]. Conclusion: The usage of phenytoin is still not routinely given to post-traumatic head patients at RSIJ Cempaka Putih. The administration is carried out on a case-by-case basis assessment must be carried out in determining the use of phenytoin as a seizure prophylactic so that the benefits outweigh the side effects. For further research, it is recommended to conduct an EEG examination on head trauma patients to determine the diagnosis of post-traumatic seizures/epilepsy and conduct further seizure evaluation. Keywords: Post-trauma seizure; Phenytoin; Prophylaxis; Head Trauma; Jakarta Islamic Cempaka Putih Hospital
Craniotomy Tumor Removal for Brain Metastases of Hepatocellular Carcinoma : A Case Report Barutu, Andri Josua; Hamzah, Zainy
Asian Australasian Neuro and Health Science Journal (AANHS-J) Vol. 6 No. 2 (2024): AANHS Journal
Publisher : Talenta Universitas Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/aanhsj.v6i2.17689

Abstract

Introduction: Brain metastases (BM) are the most frequent type of brain tumors in adults and are the leading source of neurological issues related to systemic cancers. Case Description: Female, 49 years old, presented with decreased consciousness that occurred since 1 month before admission. Weakness of the right limbs is found. CT scan abdomen with contrast show hepatic segment VIII infarction. histopathological examination of hepatic tissue biopsy with the results of hepatocellular carcinoma MRI brain shows multiple lesions suggestive of brain metastasis. Discussion: Patient was diagnosed with space occupying lesion on the frontotemporal dd brain metastasis dd orbital roof meningioma + multiple space occupying lesion intracranial on the left parietooccipital ec. brain metastasis + hepatocellular segment V, VI, VII, and VIII. Patients underwent craniotomy tumor removal to remove intracranial masses. The patient's postoperative condition showed improvement in the level of consciousness with GCS E4M5V3. Conclusion. Craniotomy tumor removal provides several advantages for managing patients with brain metastases of hepatocellular carcinoma. Keyword: Craniotomy, Brain Metastases, Hepatocellular Carcinoma
Predicting vulnerability for brain tumor: data-driven approach utilizing machine learning Effendi, Yutika Amelia; Sofiah, Amila; Hidayat, Niko Azhari; Ebrie, Awol Seid; Hamzah, Zainy
Indonesian Journal of Electrical Engineering and Computer Science Vol 35, No 3: September 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v35.i3.pp1579-1589

Abstract

Brain tumors, whether benign or malignant, present a complex and multifaceted challenge in healthcare, affecting individuals across various age groups. Predicting the vulnerability of brain tumors using health risk factors and symptoms is crucial, yet there have been limited research studies, particularly those integrating artificial intelligence (AI) technology. This research explores machine learning models such as support vector machines (SVMs), multi-layer perceptrons (MLPs), and logistic regression (LR) for the early detection of brain tumors. Evaluation metrics, including accuracy, precision, recall, and F1-score, are employed to assess model performance. The results indicate that the SVM outperforms other models, providing a robust foundation for predictive accuracy. To enhance accessibility and usability, the research also integrates these models into a mobile application predictor. The application is beneficial for assisting individuals in early detection by identifying potential risk factors and symptoms that may lead to a brain tumor. In conclusion, the integration of machine learning through a mobile application represents a transformative approach to personalized healthcare. By empowering individuals with cutting-edge technology, this research strives to enhance early detection and decision-making regarding potential brain tumor risks and symptoms, ultimately contributing to improved patient outcomes and quality of life.