AIMC Topic: Length of Stay
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EXpectation Propagation LOgistic REgRession on permissioned blockCHAIN (ExplorerChain): decentralized online healthcare/genomics predictive model learning.
Journal of the American Medical Informatics Association : JAMIA
May 1, 2020
OBJECTIVE: Predicting patient outcomes using healthcare/genomics data is an increasingly popular/important area. However, some diseases are rare and require data from multiple institutions to construct generalizable models. To address institutional d...
[Multicenter comparison of complications after robot-assisted and open simple prostatectomy].
Der Urologe. Ausg. A
May 1, 2020
INTRODUCTION: Robot-assisted simple prostatectomy (RASP) is a relatively new minimally invasive procedure for surgical treatment to manage symptomatic, therapy-refractory benign prostate hyperplasia (BPH) in prostate volumes >80 cm. Thus, postoperati...
[Surgical Treatment for Extremely Elderly Patients Over 90 Years of Age with Colorectal Cancer].
Gan to kagaku ryoho. Cancer & chemotherapy
Dec 1, 2019
We report 18 cases of colorectalcancer in patients aged over 90 years who received surgicaltreatment . Except for 2 patients who had StageⅣ colorectal cancer, all patients underwent R0 colorectal resection. The mean operation time, blood loss, and le...
[Surgical Outcomes of Laparoscopic Repeat Hepatectomy at Our Institution].
Gan to kagaku ryoho. Cancer & chemotherapy
Dec 1, 2019
Laparoscopic hepatectomy has gained popularity owing to its merits, such as low invasiveness and reduced bleeding. However, the efficacy of laparoscopic repeat hepatectomy(LRH)has not been confirmed. The aim of this study was to evaluate the feasibil...
Predicting emergency department orders with multilabel machine learning techniques and simulating effects on length of stay.
Journal of the American Medical Informatics Association : JAMIA
Dec 1, 2019
OBJECTIVE: Emergency departments (EDs) continue to pursue optimal patient flow without sacrificing quality of care. The speed with which a healthcare provider receives pertinent information, such as results from clinical orders, can impact flow. We s...
Predicting Inpatient Length of Stay After Brain Tumor Surgery: Developing Machine Learning Ensembles to Improve Predictive Performance.
Neurosurgery
Sep 1, 2019
BACKGROUND: Current outcomes prediction tools are largely based on and limited by regression methods. Utilization of machine learning (ML) methods that can handle multiple diverse inputs could strengthen predictive abilities and improve patient outco...
Relationship Between Very Cold Outside Weather and Surgical Outcome: Integrating Shallow and Deep Artificial Neural Nets.
Studies in health technology and informatics
Aug 21, 2019
Patients' hospital length of stay (LOS) as a surgical outcome is important indicator of quality of care. We used EMR data to build artificial neural network models to better understand the impact of cold weather on outcome of first surgeries in a day...
Class Imbalance Impact on the Prediction of Complications during Home Hospitalization: A Comparative Study.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2019
Home hospitalization (HH) is presented as a healthcare alternative capable of providing high standards of care when patients no longer need hospital facilities. Although HH seems to lower healthcare costs by shortening hospital stays and improving pa...
Machine Learning-based Risk of Hospital Readmissions: Predicting Acute Readmissions within 30 Days of Discharge.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2019
The objective of this study was to design and develop a 30-day risk of hospital readmission predictive model using machine learning techniques. The proposed risk of readmission predictive model was then validated with the two most commonly used risk ...
Borderline Personality Features in Inpatients with Bipolar Disorder: Impact on Course and Machine Learning Model Use to Predict Rapid Readmission.
Journal of psychiatric practice
Jul 1, 2019
BACKGROUND: Earlier research indicated that nearly 20% of patients diagnosed with either bipolar disorder (BD) or borderline personality disorder (BPD) also met criteria for the other diagnosis. Yet limited data are available concerning the potential...
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