A5004825095- Medical Imaging and Analysis
- Topic Modeling
- Long-Term Effects of COVID-19
- CNS Lymphoma Diagnosis and Treatment
- Posttraumatic Stress Disorder Research
- Suicide and Self-Harm Studies
- COVID-19 Clinical Research Studies
- Machine Learning in Healthcare
- Cancer Risks and Factors
- Women's cancer prevention and management
- Resilience and Mental Health
- Radiomics and Machine Learning in Medical Imaging
- Science and Education Research
- Business and Management Studies
- Fluorine in Organic Chemistry
- Nutrition and Health in Aging
- Iron Metabolism and Disorders
- Artificial Intelligence in Healthcare and Education
- COVID-19 and Mental Health
- Child Abuse and Trauma
- Family Support in Illness
- Traumatic Brain Injury Research
- Counseling Practices and Supervision
- Attachment and Relationship Dynamics
- Rural Development and Agriculture
Hospital Geral de Fortaleza
2021-2024
Icahn School of Medicine at Mount Sinai
2020-2022
California State University, Fullerton
2021
Unichristus
2014
Abstract Objective To investigate the associations between obstructive sleep apnea (OSA) and coronavirus disease 2019 (COVID-19) severity. Methods Twelve individuals hospitalized in a Brazilian tertiary hospital diagnosed with COVID-19 by reverse transcriptase-polymerase chain reaction (RT-PCR) underwent respiratory polygraphy. Results Polygraphic records identified seven participants without (OSA-) five OSA (OSA + ). The OSA+ group presented worse peripheral oxygen saturation (77.6% ±...
Headache is the most common neurological symptom in COVID-19, reported 6.5 to 34% of patients. Few studies have analyzed its characteristics, and some them included cases without laboratory confirmation or only critical We aimed analyze clinical characteristics COVID-19 associated headache laboratory-confirmed cases. conducted a retrospective evaluation patients with symptoms. Patients who answered an interview about characteristics. Twenty-four completed interview. Mean age was 53.8...
Arijit Sehanobish, McCullen Sandora, Nabila Abraham, Jayashri Pawar, Danielle Torres, Anasuya Das, Murray Becker, Richard Herzog, Benjamin Odry, Ron Vianu. Proceedings of the 2022 Conference North American Chapter Association for Computational Linguistics: Human Language Technologies: Industry Track. 2022.
Anais do 60º Congresso da Sociedade Brasileira de Economia, Administração e Sociologia Rural (SOBER) (978-65-5941-796-4) - Desafios Do Planejamento Estratégico Em Organizações De Pesquisa Pública Agropecuárias: Um Caso
Pretrained Transformer based models finetuned on domain specific corpora have changed the landscape of NLP. Generally, if one has multiple tasks a given dataset, may finetune different or use task adapters. In this work, we show that multi-task model can beat achieve performance BERT-based various and adapter augmented models. We validate our method internal radiologist's report dataset cervical spine. hypothesize are semantically close related thus multitask learners powerful classifiers....
Pretrained Transformer based models finetuned on domain specific corpora have changed the landscape of NLP. However, training or fine-tuning these for individual tasks can be time consuming and resource intensive. Thus, a lot current research is focused using transformers multi-task learning (Raffel et al.,2020) how to group help model learn effective representations that shared across (Standley al., 2020; Fifty 2021). In this work, we show single multi-tasking match performance task when...
Our recently published joint experiment-theory study of the photo-oxidative intramolecular cyclization 2′-alkynylacetophenone oximes, performed in collaboration with de Lijser group, presented first reported formation isoindole N-oxides. That focused on determining a mechanistic explanation for unexpected chemistry observed when three oximes were photo-oxidized 9,10-dicyanoanthracene (DCA), specifically derivatives phenyl, isopropyl, or n-butyl substituent at alkynyl group. Here, we use...