AI Medical Compendium Topic:
Logistic Models

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Deep Neural Networks with Multistate Activation Functions.

Computational intelligence and neuroscience Sep 10, 2015
We propose multistate activation functions (MSAFs) for deep neural networks (DNNs). These MSAFs are new kinds of activation functions which are capable of representing more than two states, including the N-order MSAFs and the symmetrical MSAF. DNNs w...
Humans Neural Networks, Computer Algorithms Speech Logistic Models Linear Models Stochastic Processes Models, Psychological Entropy
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Prediction of Allogeneic Hematopoietic Stem-Cell Transplantation Mortality 100 Days After Transplantation Using a Machine Learning Algorithm: A European Group for Blood and Marrow Transplantation Acute Leukemia Working Party Retrospective Data Mining Study.

Journal of clinical oncology : official journal of the American Society of Clinical Oncology Aug 3, 2015
PURPOSE: Allogeneic hematopoietic stem-cell transplantation (HSCT) is potentially curative for acute leukemia (AL), but carries considerable risk. Machine learning algorithms, which are part of the data mining (DM) approach, may serve for transplanta...
Postoperative Complications Disease Progression Time Factors ROC Curve Logistic Models Adult Humans Treatment Outcome Disease-Free Survival Leukemia, Myeloid, Acute Machine Learning Algorithms Data Mining Male Europe Decision Support Techniques Hematopoietic Stem Cell Transplantation Middle Aged Retrospective Studies Decision Trees Risk Assessment Transplantation, Homologous Female Predictive Value of Tests Precursor Cell Lymphoblastic Leukemia-Lymphoma Reproducibility of Results Area Under Curve Kaplan-Meier Estimate Risk Factors Registries
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Development of automatic surveillance of animal behaviour and welfare using image analysis and machine learned segmentation technique.

Animal : an international journal of animal bioscience Jul 20, 2015
In this paper the feasibility to extract the proportion of pigs located in different areas of a pig pen by advanced image analysis technique is explored and discussed for possible applications. For example, pigs generally locate themselves in the wet...
Image Processing, Computer-Assisted Logistic Models Animal Welfare Behavior, Animal Artificial Intelligence Animals Swine
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Laparoscopic and robot-assisted hysterectomy for uterine cancer: a comparison of costs and complications.

American journal of obstetrics and gynecology Jul 15, 2015
OBJECTIVE: Increasingly, robotic surgery is being used for total hysterectomy, bilateral salpingo-oophorectomy, and lymph node dissection for uterine cancer. The purpose of this study was to compare the costs and complications among women undergoing ...
Humans Female Uterine Neoplasms Hysterectomy Hospital Charges Comorbidity Length of Stay Logistic Models Lymph Node Excision Robotics Laparoscopy Aged Aged, 80 and over Adult Middle Aged Postoperative Complications
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Prediction of Outcome in Acute Lower Gastrointestinal Bleeding Using Gradient Boosting.

PloS one Jul 14, 2015
BACKGROUND: There are no widely used models in clinical care to predict outcome in acute lower gastro-intestinal bleeding (ALGIB). If available these could help triage patients at presentation to appropriate levels of care/intervention and improve me...
Aged, 80 and over Young Adult Adult Male Middle Aged Humans Machine Learning Cohort Studies Adolescent Algorithms Logistic Models Prognosis Acute Disease Female Medical Informatics Aged Gastrointestinal Hemorrhage
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The use of artificial neural networks to predict delayed discharge and readmission in enhanced recovery following laparoscopic colorectal cancer surgery.

Techniques in coloproctology Jun 19, 2015
BACKGROUND: Artificial neural networks (ANNs) can be used to develop predictive tools to enable the clinical decision-making process. This study aimed to investigate the use of an ANN in predicting the outcomes from enhanced recovery after colorectal...
Neoadjuvant Therapy Area Under Curve Laparoscopy Aftercare Patient Discharge Patient Compliance Colorectal Neoplasms Male Length of Stay Time Factors Logistic Models Patient Readmission Colectomy Humans Neural Networks, Computer Prospective Studies Retrospective Studies Female
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Effect of uterine size on fertility of lactating dairy cows.

Theriogenology Jun 3, 2015
There are multiple reasons for reduced fertility in lactating dairy cows. We hypothesized that one cause of reduced fertility could be the overall size of the reproductive tract, particularly the uterus, given well-established uterine functions in ma...
Estrus Synchronization Organ Size Female Uterus Animals Lactation Cattle Fertility Progesterone Insemination, Artificial Logistic Models
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Teaching a Machine to Feel Postoperative Pain: Combining High-Dimensional Clinical Data with Machine Learning Algorithms to Forecast Acute Postoperative Pain.

Pain medicine (Malden, Mass.) May 29, 2015
BACKGROUND: Given their ability to process highly dimensional datasets with hundreds of variables, machine learning algorithms may offer one solution to the vexing challenge of predicting postoperative pain.
Humans Neural Networks, Computer Decision Trees Machine Learning Pain, Postoperative Algorithms Retrospective Studies ROC Curve Logistic Models
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Prediction of in-hospital mortality after ruptured abdominal aortic aneurysm repair using an artificial neural network.

Journal of vascular surgery May 5, 2015
OBJECTIVE: Ruptured abdominal aortic aneurysm (rAAA) carries a high mortality rate, even with prompt transfer to a medical center. An artificial neural network (ANN) is a computational model that improves predictive ability through pattern recognitio...
Blood Vessel Prosthesis Implantation Endovascular Procedures Databases, Factual Aortic Aneurysm, Abdominal Tennessee Aortic Rupture Area Under Curve Retrospective Studies Heart Arrest Shock Female Unconsciousness Multivariate Analysis ROC Curve Risk Factors Odds Ratio Humans Aged, 80 and over Logistic Models Aged Neural Networks, Computer Male Treatment Outcome Algorithms Middle Aged Age Factors Decision Support Techniques Risk Assessment Predictive Value of Tests Time Factors Hospital Mortality
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Mortality risk prediction in burn injury: Comparison of logistic regression with machine learning approaches.

Burns : journal of the International Society for Burn Injuries Apr 27, 2015
INTRODUCTION: Predicting mortality from burn injury has traditionally employed logistic regression models. Alternative machine learning methods have been introduced in some areas of clinical prediction as the necessary software and computational faci...
Support Vector Machine Age Factors Models, Statistical Bayes Theorem Registries Burns Body Surface Area Wales Smoke Inhalation Injury Humans Neural Networks, Computer England Machine Learning Adolescent Young Adult Software Child, Preschool Adult Decision Support Techniques Child Male Female ROC Curve Risk Assessment Logistic Models Infant
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