This paper proposes an optimized Long Short-Term Memory (LSTM+) model for predicting cumulative confirmed cases of COVID-19 in Germany, the UK, Italy, and Japan. The LSTM+ model incorporates two key optimizations: (1) fine-adjustment of parameters
CONCLUSION: Future studies should consider emergent objective and validated measures of risk factors, account for potential a priori confounders and covariates and ensure more representativeness in the sociodemographic makeup of their samples.
Coronavirus 2019 (COVID-19) has catalysed digital transformation in the health space. However, it remains a challenge to generate timely and cost-effective evidence for digital health technologies (DHTs) to ensure their safety and efficacy
CONCLUSION: Surveyed patients were satisfied with VVs in RO at our institution, consistent with reports published by our group and others suggesting high rates of satisfaction with VVs by both providers and patients. Our data also suggest that
CONCLUSION: Interim analysis of the DD3 trial suggests that for patients with central but not ultra-central lung tumors, an SBRT regimen of 45 Gy in 3 fractions warrants continued trial accrual and follow-up given no grade ≥3 toxicities or local
CONCLUSION: Combined analysis of a phase II/III randomized trial suggests that LD-RT prevents ventilation, reduces supplemental oxygen need, improves clinical course, and enhances immune response. LD-RT may have both immediate direct effects and
The usefulness of therapists' self-disclosure (TSD) in psychotherapy remains controversial, and little is known regarding the potential risks and benefits of TSD in times of global crisis such as the COVID-19 pandemic and in teletherapy. We examined
This report presents the case of a 47-year-old male patient who worked as a mathematics teacher and experienced the sudden onset of disorientation, aphasia, and acalculia during an online class. The current study reveals the first documented case of