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Pancreas
Research Hotspot & Journal Scope - Predicting


Pancreas - DOI: 10.1097/MPA.0000000000001314
Predicting Pancreatic Cancer Resectability and Outcomes Based on an Objective Quantitative Scoring System

Diego A S Toesca · R Brooke Jeffrey · Rie von Eyben · Erqi L Pollom · Peter D Poullos · George A Poultsides · George A Fisher · Brendan C Visser · Albert C Koong · Daniel T Chang ·

Medicine
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Pancreas - DOI: 10.1097/MPA.0000000000001296
Predicting Survival of Small Intestine Neuroendocrine Tumors: Experience From a Major Referral Center

Susheian Kelly · Jeffrey Aalberg · Alexandra Agathis · Katherine Phillips · Sara Haile · Kenneth Haines · Michelle Kang Kim · Celia M Divino ·

Medicine
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Pancreas - DOI: 10.1097/MPA.0000000000001209
Performance of a Multidisciplinary Pancreatic Cancer Conference in Predicting and Managing Resectable Pancreatic Cancer

Bharat Rao · Aslam Syed · Shailendra Singh · Abhishek Gulati · Ghita Moussiade · Mrinal Garg · Manav Sharma · Suzanne Morrissey · Harry Williams · Donald Atkinson · Suzanne Schiffman · Dulabh Monga · Anthony Lupetin · Alexander Kirichenko · Marcia Mitre · Amy Tang · Manish Dhawan · Abhijit Kulkarni · Shyam Thakkar ·

Medicine
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Pancreas - DOI: 10.1097/MPA.0000000000001334
Predicting Successful Catheter Drainage in Patients With Pancreatic Fistula After Pancreatoduodenectomy

F Jasmijn Smits · Hjalmar C van Santvoort · Marc G Besselink · Djamila Boerma · Olivier R Busch · Ronald M van Dam · Casper H van Eijck · Sebastiaan Festen · Erwin van der Harst · Ignace H de Hingh · Koert P de Jong · Inne H Borel Rinkes · I Quintus Molenaar ·

Medicine
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This study aimed to investigate the level of attention deficiency-hyperactivity & social adjustment among students with learning disabilities in the cycle one schools in South Batinah region as well as to verify the possibility of predicting social adjustment by knowing the level of attention deficiency & hyperactivity among these students.

Attention-Deficit Hyperactivity Disorder as Predictor for Social Adjustment amongStudents with Learning Disabilities in the Cycle One Schools in the Sultanate of Oman [10.24200/JASS.VOL9ISS3PP37-47]


The results indicate that the Neural Network model with two hidden layers performed the best among selected data-driven models, accurately predicting runoff water quantity and quality over a wide range of parameters.

Physics-Informed Data-Driven Models to Predict Surface Runoff Water Quantity and Quality in Agricultural Fields [10.3390/W11020200]


The particular importance of adolescent self-harm is underlined by the fact that it is often associated with suicidal ideation and behavior, and that it is one of the strongest risk factors predicting suicidal behavior [4] and death by suicide later in life [5].

Differential pathways from childhood maltreatment to self-harm and suicidal ideation [10.1007/s00787-019-01412-7]


Here, we introduce a computationally-efficient method for predicting nonlinear behaviors of multiple cells interacting mechanically through a 3-D ECM fiber network.

Multi-Cell ECM compaction is predictable via superposition of nonlinear cell dynamics linearized in augmented state space [10.1101/526426]


Correlation analysis identified the most significant project variables toward predicting actual duration.

Neural network models for actual duration of Greek highway projects [10.1108/JEDT-01-2019-0027]


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