Mentions
Extended reach
Total likes
Video views
AI synopsis
The overall discussion demonstrates a positive and engaged attitude towards the publication, with examples like mentions of journal clubs scheduled to discuss the paper and references to related models, which show active interest and recognition of its importance in advancing personalized treatment strategies.
Most discussions show support for the significance of DeepSurv and its contributions to personalized medicine.
Participants express moderate interest through mentions of journal clubs and upcoming discussions, indicating engagement but not overwhelming enthusiasm.
The conversations reference specific studies and upcoming meetings, suggesting a thoughtful level of engagement with the research.
The focus on the potential of DeepSurv in making personalized treatment recommendations reflects recognition of its meaningful impact in clinical research.
Journal club: on May 7 we'll read these 2 papers: - DeepSurv: Personalized Treatment Recommender System Using A Cox Proportional Hazards Deep Neural Network -A Scalable Discrete-Time Survival Model for Neural Networks May 7, 1-3 pm @TRI_UHN @KITE_UHN https://t.co/zZ0GrcEymd
DeepSurv https://t.co/kf4NXciAr6
起きたら読む (PDF) DeepSurv: Personalized treatment recommender system using a Cox proportional hazards deep neural network https://t.co/38U9iFiUKL
RT @Babak_Taati: Journal club: on May 7 we'll read these 2 papers: - DeepSurv: Personalized Treatment Recommender System Using A Cox Prop…
DeepSurv is a deep neural network that improves survival models by understanding individual patient features, enabling personalized treatment recommendations and better predicting survival outcomes.
DeepSurv is a deep neural network that improves survival prediction accuracy by analyzing individual patient features, enabling personalized treatment suggestions and enhancing decision-making in personalized medicine.
DeepSurv is a deep neural network that improves survival models by understanding patient features, enabling personalized treatment recommendations to potentially increase survival times.
DeepSurv enhances traditional survival models using deep neural networks to understand individual patient features and improve treatment outcome predictions, supporting personalized medicine and better decision-making…
DeepSurv is a deep neural network that improves traditional survival models by analyzing individual patient features to predict treatment outcomes, aiding personalized medicine. It performs comparably or better than…
DeepSurv is a deep neural network enhancing survival models by understanding individual patient features, enabling personalized treatment recommendations to potentially improve survival outcomes.
DeepSurv is a deep neural network that improves traditional survival models by understanding individual patient features, enabling personalized treatment recommendations. It accurately captures complex relationships to…
DeepSurv https://t.co/kf4NXciAr6
DeepSurv、初めて知ったけどこれ面白いね。共変数の線形性の仮定がいらないっていうのは楽。DeepSurvは今後もチェックしておこう。https://t.co/8zDADL4XOY
起きたら読む (PDF) DeepSurv: Personalized treatment recommender system using a Cox proportional hazards deep neural network https://t.co/38U9iFiUKL
RT @Babak_Taati: Journal club: on May 7 we'll read these 2 papers: - DeepSurv: Personalized Treatment Recommender System Using A Cox Prop…
Journal club: on May 7 we'll read these 2 papers: - DeepSurv: Personalized Treatment Recommender System Using A Cox Proportional Hazards Deep Neural Network -A Scalable Discrete-Time Survival Model for Neural Networks May 7, 1-3 pm @TRI_UHN @KITE_UHN https://t.co/zZ0GrcEymd