AIMC Topic: Survival Rate

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Preoperative blood and CT-image nutritional indicators in short-term outcomes and machine learning survival framework of intrahepatic cholangiocarcinoma.

European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology Jan 30, 2025
BACKGROUND&AIMS: Intrahepatic cholangiocarcinoma (iCCA) is aggressive with limited treatment and poor prognosis. Preoperative nutritional status assessment is crucial for predicting outcomes in patients. This study aimed to compare the predictive cap...
Subcutaneous Fat Male Humans Middle Aged Nutrition Assessment Tomography, X-Ray Computed Machine Learning Preoperative Period Postoperative Complications Female Prognosis Intra-Abdominal Fat Neoplasm Recurrence, Local Aged Retrospective Studies Serum Albumin Bilirubin Survival Rate Cholangiocarcinoma Hepatectomy Bile Duct Neoplasms Nutritional Status
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Machine Learning-Based Real-Time Survival Prediction for Gastric Neuroendocrine Carcinoma.

Annals of surgical oncology Jan 28, 2025
BACKGROUND: This study aimed to develop a dynamic survival prediction model utilizing conditional survival (CS) analysis and machine learning techniques for gastric neuroendocrine carcinomas (GNECs).
Humans Machine Learning Retrospective Studies Female Aged Carcinoma, Neuroendocrine SEER Program Risk Assessment Proportional Hazards Models Stomach Neoplasms Nomograms Predictive Learning Models Survival Rate United States Male Regression Analysis Middle Aged Random Forest
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An Artificial Intelligence-Digital Pathology Algorithm Predicts Survival After Radical Prostatectomy From the Prostate, Lung, Colorectal, and Ovarian Cancer Trial.

The Journal of urology Jan 22, 2025
PURPOSE: Clinical variables alone have limited ability to determine which patients will have recurrence after radical prostatectomy (RP). We evaluated the ability of locked multimodal artificial intelligence (MMAI) algorithms trained on prostate biop...
Survival Rate Male Middle Aged Prostatic Neoplasms Humans Prostatectomy Artificial Intelligence Prognosis Aged
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Machine-learning versus traditional methods for prediction of all-cause mortality after transcatheter aortic valve implantation: a systematic review and meta-analysis.

Open heart Jan 21, 2025
BACKGROUND: Accurate mortality prediction following transcatheter aortic valve implantation (TAVI) is essential for mitigating risk, shared decision-making and periprocedural planning. Surgical risk models have demonstrated modest discriminative valu...
Risk Assessment Aortic Valve Stenosis Cause of Death Transcatheter Aortic Valve Replacement Humans Machine Learning Risk Factors Survival Rate Global Health
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Diagnostic accuracy of artificial intelligence algorithms to predict remove all macroscopic disease and survival rate after complete surgical cytoreduction in patients with ovarian cancer: a systematic review and meta-analysis.

BMC surgery Jan 16, 2025
BACKGROUND: Complete Cytoreduction (CC) in ovarian cancer (OC) has been associated with better outcomes. Outcomes after CC have a multifactorial and interrelated cause that may not be predictable by conventional statistical methods. Artificial intell...
Survival Rate Ovarian Neoplasms Cytoreduction Surgical Procedures Humans Artificial Intelligence Algorithms Female
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Predictive models and determinants of mortality among T2DM patients in a tertiary hospital in Ghana, how do machine learning techniques perform?

BMC endocrine disorders Jan 10, 2025
BACKGROUND: The increasing prevalence of type 2 diabetes mellitus (T2DM) in lower and middle - income countries call for preventive public health interventions. Studies from Africa including those from Ghana, consistently reveal high T2DM-related mor...
Machine Learning Prognosis Retrospective Studies Female Risk Factors Humans Middle Aged Diabetes Mellitus, Type 2 Follow-Up Studies Tertiary Care Centers Ghana Aged Adult Survival Rate Male
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Prognostic Features for Overall Survival in Male Diabetic Patients Undergoing Hemodialysis Using Elastic Net Penalized Cox Regression; A Machine Learning Approach.

Archives of Iranian medicine Jan 1, 2025
BACKGROUND: Diabetics constitute a significant percentage of hemodialysis (HD) patients with higher mortality, especially among male patients. A machine learning algorithm was used to optimize the prediction of time to death in male diabetic hemodial...
Diabetes Mellitus Kidney Failure, Chronic Iran Proportional Hazards Models Male Middle Aged Renal Dialysis Diabetic Nephropathies Retrospective Studies Aged Adult Survival Rate Humans Machine Learning Prognosis
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Machine Learning Prediction of Early Recurrence in Gastric Cancer: A Nationwide Real-World Study.

Annals of surgical oncology Dec 30, 2024
BACKGROUND: Patients with gastric cancer (GC) who experience early recurrence (ER) within 2 years postoperatively have poor prognoses. This study aimed to analyze and predict ER after curative surgery for patients with GC using machine learning (ML) ...
Gastrectomy Male Middle Aged Female Humans Nomograms China Aged Machine Learning Follow-Up Studies ROC Curve Stomach Neoplasms Prognosis Neoplasm Invasiveness Survival Rate Retrospective Studies Neoplasm Staging Neoplasm Recurrence, Local
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Bidirectional recurrent neural network approach for predicting cervical cancer recurrence and survival.

Scientific reports Dec 30, 2024
Cervical cancer is a deadly disease in women globally. There is a greater chance of getting rid of cervical cancer in case of earliest diagnosis. But for some patients, there is a chance of recurrence. The chances of treating the Recurrence of cervic...
Prognosis Female Risk Factors RNA, Long Noncoding Adult Biomarkers, Tumor Humans Neoplasm Recurrence, Local Survival Rate Uterine Cervical Neoplasms Neural Networks, Computer Middle Aged Algorithms Support Vector Machine
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Mucoepidermoid carcinoma: Enhancing diagnostic accuracy and treatment strategy through machine learning models and web-based prognostic tool.

Journal of stomatology, oral and maxillofacial surgery Dec 25, 2024
BACKGROUND: Oral cancer, particularly mucoepidermoid carcinoma (MEC), presents diagnostic challenges due to its histological diversity and rarity. This study aimed to develop machine learning (ML) models to predict survival outcomes for MEC patients ...
Humans Machine Learning Prognosis Female Middle Aged Aged Internet Adult Mouth Neoplasms Survival Rate SEER Program Male Carcinoma, Mucoepidermoid
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