RT @rubinqilab: We are pleased our paper https://t.co/haDdDV1vpM on predicting patient survival using #AI was selected as as one the 4 best…
RT @rubinqilab: We are pleased our paper https://t.co/haDdDV1vpM on predicting patient survival using #AI was selected as as one the 4 best…
Congratulations Daniel 🎉🎉🎉
RT @rubinqilab: We are pleased our paper https://t.co/haDdDV1vpM on predicting patient survival using #AI was selected as as one the 4 best…
We are pleased our paper https://t.co/haDdDV1vpM on predicting patient survival using #AI was selected as as one the 4 best DS papers (among 1,148) in 2018 by the International Medical Informatics Association Yearbook: https://t.co/OX93x6dZqD. @ImonBanerje
Deep learning #NeuralNetworks predicts short-term survival of metastatic cancer patients by analyzing only free-text clinical notes #NLP - https://t.co/aj3KZ6o7lv and explains https://t.co/FnzktUmxkM
Probabilistic Prognostic Estimates of Survival in Metastatic Cancer Patients (PPES-Met) Utilizing Free-Text Clinical Narratives. https://t.co/gu1fNITAzG
Probabilistic Prognostic Estimates of Survival in Metastatic Cancer Patients (PPES-Met) Utilizing Free-Text Clinical Narratives. https://t.co/a5rttzUOc6
Probabilistic Prognostic Estimates of Survival in Metastatic Cancer Patients (PPES-Met) Utilizing Free-Text Clinical Narratives https://t.co/MKnT6Pf83u https://t.co/FvkAFpN4vY