A5026017970- Machine Learning in Healthcare
- Cannabis and Cannabinoid Research
- Advanced Malware Detection Techniques
- Spam and Phishing Detection
- Epilepsy research and treatment
- Healthcare Technology and Patient Monitoring
- Pediatric Pain Management Techniques
- Time Series Analysis and Forecasting
- Mental Health via Writing
- Anesthesia and Sedative Agents
- Misinformation and Its Impacts
- Prenatal Substance Exposure Effects
- Hyperglycemia and glycemic control in critically ill and hospitalized patients
- ECG Monitoring and Analysis
- Suicide and Self-Harm Studies
University of Florida
2023-2024
Center for Drug Evaluation and Research
2023-2024
Jahangirnagar University
2020-2022
At the present world, one of main sources news is an online platform like different websites and social media i.e. Facebook, Twitter, Linkedin, Youtube, Instagram so on. However, due to lack proper knowledge or deliberate activity some cunning people, fake spreading more than ever. People in general, struggling filter which trust discard. Even sly people take advantage situation by false misleading people. Natural Language Processing, major branch Machine Learning, wealth research...
Abstract Objective This study aimed to develop a natural language processing algorithm (NLP) using machine learning (ML) techniques identify and classify documentation of preoperative cannabis use status. Materials Methods We developed applied keyword search strategy status in clinical within 60 days surgery. manually reviewed matching notes each into 8 different categories based on context, time, certainty documentation. 2 conventional ML 3 deep models against manual annotation. externally...
Cannabis use is increasing among older adults, but its impact on postoperative pain outcomes remains unclear in this population. We examined the association between cannabis and levels opioid doses within 24 hours of surgery.
Cannabis use is associated with higher intravenous anesthetic administration. Similar data regarding inhalational anesthetics are limited. With rising cannabis prevalence, understanding any potential relationship dosing crucial. Average intraoperative isoflurane or sevoflurane minimum alveolar concentration equivalents between older adults and without were compared.
The pediatric cardiac intensive care unit (ICU) is a specialized section for children with heart diseases. patients admitted to the ICU are in very critical condition. data each day were collected hourly basis. So, time-series prediction might be beneficial physicians medication process of whose lives danger. This paper proposes multivariate time series where multiple features respect timestamps predicted using deep learning methods order assist doctors decision making tensed moment....
This study aimed to develop a natural language processing algorithm (NLP) using machine learning (ML) and Deep Learning (DL) techniques identify classify documentation of suicidal behaviors in patients with Alzheimer's disease related dementia (ADRD). We utilized MIMIC-III MIMIC-IV datasets identified ADRD subsequently those suicide ideation relevant International Classification Diseases (ICD) codes. used cosine similarity ScAN (Suicide Attempt Ideation Events Dataset) calculate semantic...