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Length of Stay

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Adding Continuous Vital Sign Information to Static Clinical Data Improves the Prediction of Length of Stay After Intubation: A Data-Driven Machine Learning Approach.

Respiratory care
BACKGROUND: Bedside monitors in the ICU routinely measure and collect patients' physiologic data in real time to continuously assess the health status of patients who are critically ill. With the advent of increased computational power and the abilit...

Predicting Length of Stay for Cardiovascular Hospitalizations in the Intensive Care Unit: Machine Learning Approach.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Predicting Cardiovascular Length of stay based hospitalization at the time of patients' admitting to the coronary care unit (CCU) or (cardiac intensive care units CICU) is deemed as a challenging task to hospital management systems globally. Recently...

Dr. Agent: Clinical predictive model via mimicked second opinions.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: Prediction of disease phenotypes and their outcomes is a difficult task. In practice, patients routinely seek second opinions from multiple clinical experts for complex disease diagnosis. Our objective is to mimic such a practice of seekin...

A Novel Machine Learning Model Developed to Assist in Patient Selection for Outpatient Total Shoulder Arthroplasty.

The Journal of the American Academy of Orthopaedic Surgeons
INTRODUCTION: Patient selection for outpatient total shoulder arthroplasty (TSA) is important to optimizing patient outcomes. This study aims to develop a machine learning tool that may aid in patient selection for outpatient total should arthroplast...

The Impact of Robotics in Learning Roux-en-Y Gastric Bypass: a Retrospective Analysis of 214 Laparoscopic and Robotic Procedures : Robotic Vs. Laparoscopic RYGB.

Obesity surgery
BACKGROUND: Proximal Roux-en-Y gastric bypass is commonly used to manage obesity, performed using laparoscopic or robot-assisted minimally invasive surgery. As the prevalence of robotic bariatric surgery increases, further data is required to justify...

EXpectation Propagation LOgistic REgRession on permissioned blockCHAIN (ExplorerChain): decentralized online healthcare/genomics predictive model learning.

Journal of the American Medical Informatics Association : JAMIA
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
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
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
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
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...