AIMC Topic: Survival Rate

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A novel machine learning-derived decision tree including uPA/PAI-1 for breast cancer care.

Clinical chemistry and laboratory medicine May 27, 2019
Background uPA and PAI-1 are breast cancer biomarkers that evaluate the benefit of chemotherapy (CT) for HER2-negative, estrogen receptor-positive, low or intermediate grade patients. Our objectives were to observe clinical routine use of uPA/PAI-1 a...
Humans Machine Learning Female Aged Antineoplastic Agents Decision Trees Neoplasm Grading Disease-Free Survival Plasminogen Activator Inhibitor 1 Urokinase-Type Plasminogen Activator Adult Survival Rate Breast Neoplasms Biomarkers, Tumor Middle Aged
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A parsimonious 3-gene signature predicts clinical outcomes in an acute myeloid leukemia multicohort study.

Blood advances Apr 23, 2019
Acute myeloid leukemia (AML) is a genetically heterogeneous hematological malignancy with variable responses to chemotherapy. Although recurring cytogenetic abnormalities and gene mutations are important predictors of outcome, 50% to 70% of AMLs harb...
Models, Biological Disease-Free Survival Child Gene Expression Regulation, Neoplastic Female Databases, Genetic Infant, Newborn Neoplasm Proteins Predictive Value of Tests Adult Survival Rate Leukemia, Myeloid, Acute Male Middle Aged Risk Assessment Infant Adolescent Child, Preschool Humans Neural Networks, Computer
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Applied Informatics Decision Support Tool for Mortality Predictions in Patients With Cancer.

JCO clinical cancer informatics Dec 1, 2018
PURPOSE: With rapidly evolving treatment options in cancer, the complexity in the clinical decision-making process for oncologists represents a growing challenge magnified by oncologists' disposition of intuition-based assessment of treatment risks a...
Survival Rate Retrospective Studies Informatics Humans Machine Learning Algorithms Databases, Factual Prognosis Electronic Health Records Clinical Decision-Making Female Risk Factors Male Middle Aged Neoplasms Follow-Up Studies Vital Signs
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Disease Staging and Prognosis in Smokers Using Deep Learning in Chest Computed Tomography.

American journal of respiratory and critical care medicine Jan 15, 2018
RATIONALE: Deep learning is a powerful tool that may allow for improved outcome prediction.
Female Aged Survival Rate Pulmonary Disease, Chronic Obstructive Male Middle Aged Humans Databases, Factual Prognosis Tomography, X-Ray Computed Risk Assessment Predictive Value of Tests Severity of Illness Index Smoking Deep Learning Respiratory Function Tests Logistic Models Respiratory Distress Syndrome
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Machine learning for prediction of 30-day mortality after ST elevation myocardial infraction: An Acute Coronary Syndrome Israeli Survey data mining study.

International journal of cardiology Nov 1, 2017
BACKGROUND: Risk scores for prediction of mortality 30-days following a ST-segment elevation myocardial infarction (STEMI) have been developed using a conventional statistical approach.
Hospital Mortality ROC Curve ST Elevation Myocardial Infarction Registries Data Mining Israel Survival Rate Male Middle Aged Risk Assessment Surveys and Questionnaires Acute Coronary Syndrome Humans Machine Learning Algorithms Prognosis Retrospective Studies Female Risk Factors Aged
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B-Type Natriuretic Peptide as a Predictor of Short-Term Mortality in On-Pump Coronary Artery Bypass Grafting.

Brazilian journal of cardiovascular surgery Jan 1, 2017
OBJECTIVE: The present study refers to a determination of the preoperative B-type natriuretic peptide is a predictor of short-term all-cause mortality in patients undergoing on-pump coronary artery bypass graft surgeries.
Middle Aged Brazil ROC Curve Humans Coronary Artery Bypass Risk Factors Extracorporeal Circulation Prospective Studies Natriuretic Peptide, Brain Biomarkers Aged Preoperative Period Female Survival Rate Sensitivity and Specificity Male
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Robotic-assisted laparoscopic hysterectomy for women with endometrial cancer - complications, women´s experiences, quality of life and a health economic evaluation.

Danish medical journal Jul 1, 2016
This thesis contains four studies all focusing on women with endometrial cancer undergoing robotic-assisted laparoscopic hysterectomy (RALH). Women with endometrial cancer are typically elderly with co-morbidities. RALH is a relatively new treatment ...
Hysterectomy Endometrial Neoplasms Health Care Costs Incidence Humans Denmark Aged, 80 and over Retrospective Studies Robotics Survival Rate Female Neoplasm Staging Postoperative Complications Aged Cost-Benefit Analysis Quality of Life Length of Stay
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Morbidity and Mortality Associated With Robotic Head and Neck Surgery: An Inquiry of the Food and Drug Administration Manufacturer and User Facility Device Experience Database.

JAMA otolaryngology-- head & neck surgery Apr 1, 2016
Postoperative Complications United States Humans United States Food and Drug Administration Head and Neck Neoplasms Survival Rate Robotics Natural Orifice Endoscopic Surgery Morbidity
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Intraoperative Diagnosis Support Tool for Serous Ovarian Tumors Based on Microarray Data Using Multicategory Machine Learning.

International journal of gynecological cancer : official journal of the International Gynecological Cancer Society Jan 1, 2016
OBJECTIVES: Serous borderline ovarian tumors (SBOTs) are a subtype of serous ovarian carcinoma with atypical proliferation. Frozen-section diagnosis has been used as an intraoperative diagnosis tool in supporting the fertility-sparing surgery by diag...
Neoplasms, Glandular and Epithelial Cystadenocarcinoma, Serous Predictive Value of Tests Survival Rate Blotting, Western Biomarkers, Tumor Humans Neoplasm Staging Gene Expression Profiling Machine Learning Carcinoma, Ovarian Epithelial Monitoring, Intraoperative Prognosis RNA, Messenger Immunoenzyme Techniques Real-Time Polymerase Chain Reaction Female Gene Expression Regulation, Neoplastic Reverse Transcriptase Polymerase Chain Reaction Support Vector Machine Databases, Genetic Ovarian Neoplasms
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Machine learning models in breast cancer survival prediction.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2016
BACKGROUND: Breast cancer is one of the most common cancers with a high mortality rate among women. With the early diagnosis of breast cancer survival will increase from 56% to more than 86%. Therefore, an accurate and reliable system is necessary fo...
Humans Machine Learning Female Reproducibility of Results Aged Aged, 80 and over Young Adult Adult Survival Rate Adolescent Models, Theoretical Sensitivity and Specificity Early Detection of Cancer Breast Neoplasms Predictive Value of Tests Male Middle Aged Diagnosis, Computer-Assisted
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