Connection
Ana Gleisner to Predictive Value of Tests
This is a "connection" page, showing publications Ana Gleisner has written about Predictive Value of Tests.
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0.356 |
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Schulick AC, Moore HB, Franco SR, Jiang JG, Edil BH, Schulick RD, Nydam TL, McCarter MD, Del Chiaro M, Gleisner A. Gaining a new angle on pancreas cancer: A pre-operative thrombelastographic parameter predicts recurrence and survival among patients with resected periampullary and pancreatic adenocarcinoma. Am J Surg. 2024 Dec; 238:115820.
Score: 0.156
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Catalano G, Alaimo L, Chatzipanagiotou OP, Ruzzenente A, Ratti F, Aldrighetti L, Marques HP, Cauchy F, Lam V, Poultsides GA, Hugh T, Popescu I, Alexandrescu S, Martel G, Kitago M, Endo I, Gleisner A, Shen F, Pawlik TM. Predicting the complexity of minimally invasive liver resection for hepatocellular carcinoma using machine learning. HPB (Oxford). 2025 Jun; 27(6):807-815.
Score: 0.041
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Akabane M, Kawashima J, Altaf A, Woldesenbet S, Cauchy F, Aucejo F, Popescu I, Kitago M, Martel G, Ratti F, Aldrighetti L, Poultsides GA, Imaoka Y, Ruzzenente A, Endo I, Gleisner A, Marques HP, Lam V, Hugh T, Bhimani N, Shen F, Pawlik TM. Development and validation of the albumin-bilirubin gamma-glutamyl transferase score for enhanced prognostic accuracy after hepatocellular carcinoma resection. J Gastrointest Surg. 2025 Apr; 29(4):101984.
Score: 0.041
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Altaf A, Munir MM, Khan MMM, Rashid Z, Khalil M, Guglielmi A, Ratti F, Aldrighetti L, Bauer TW, Marques HP, Martel G, Alexandrescu S, Weiss MJ, Kitago M, Poultsides G, Maithel SK, Pulitano C, Lam V, Popescu I, Gleisner A, Hugh T, Shen F, Cauchy F, Koerkamp BG, Endo I, Pawlik TM. Machine learning based prediction model for bile leak following hepatectomy for liver cancer. HPB (Oxford). 2025 Apr; 27(4):489-501.
Score: 0.040
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Endo Y, Tsilimigras DI, Munir MM, Woldesenbet S, Guglielmi A, Ratti F, Marques HP, Cauchy F, Lam V, Poultsides GA, Kitago M, Alexandrescu S, Popescu I, Martel G, Gleisner A, Hugh T, Aldrighetti L, Shen F, Endo I, Pawlik TM. Machine learning models including preoperative and postoperative albumin-bilirubin score: short-term outcomes among patients with hepatocellular carcinoma. HPB (Oxford). 2024 Nov; 26(11):1369-1378.
Score: 0.039
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Altaf A, Endo Y, Munir MM, Khan MMM, Rashid Z, Khalil M, Guglielmi A, Ratti F, Marques H, Cauchy F, Lam V, Poultsides G, Kitago M, Popescu I, Martel G, Gleisner A, Hugh T, Shen F, Endo I, Pawlik TM. Impact of an artificial intelligence based model to predict non-transplantable recurrence among patients with hepatocellular carcinoma. HPB (Oxford). 2024 08; 26(8):1040-1050.
Score: 0.039
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Connection Strength
The connection strength for concepts is the sum of the scores for each matching publication.
Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
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