The value proposition for pathologists: a population health approach

BS Ducatman, AM Ducatman… - Academic …, 2020 - journals.sagepub.com
The transition to a value-based payment system offers pathologists the opportunity to play
an increased role in population health by improving outcomes and safety as well as …

Potassium disorders: hypokalemia and hyperkalemia

MJ Kim, C Valerio, GK Knobloch - American Family Physician, 2023 - aafp.org
Hypokalemia is caused by decreased intake, renal losses, gastrointestinal losses, or
transcellular shifts. Diuretics are among the most common causes of hypokalemia …

Evaluation of stacked ensemble model performance to predict clinical outcomes: A COVID-19 study

R Kablan, HA Miller, S Suliman, HB Frieboes - International Journal of …, 2023 - Elsevier
Background The application of machine learning (ML) to analyze clinical data with the goal
to predict patient outcomes has garnered increasing attention. Ensemble learning has been …

Clinical Data based XGBoost Algorithm for infection risk prediction of patients with decompensated cirrhosis: a 10-year (2012–2021) Multicenter Retrospective Case …

J Zheng, J Li, Z Zhang, Y Yu, J Tan, Y Liu, J Gong… - BMC …, 2023 - Springer
Objectives To appraise effective predictors for infection in patients with decompensated
cirrhosis (DC) by using XGBoost algorithm in a retrospective case-control study. Methods …

[HTML][HTML] Admission glucose level was associated with increased short-term mortality and length-of-stay irrespective of diagnosis, treating medical specialty or …

M Björk, EO Melin, T Frisk, M Thunander - European Journal of Internal …, 2020 - Elsevier
Background Glucose is a routine emergency sample. General guidelines for inpatient
hyperglycemia are scarce, except in myocardial infarction, stroke, and perioperative/ICU …

[PDF][PDF] 急性主动脉夹层患者入院时血糖水平与其院内死亡的相关性研究

赵俊暕, 王洪岩, 赵永波, 刘晓, 熊艳杰… - 中国全科 …, 2022 - docs.cn-healthcare.com
背景急性主动脉夹层(AAD) 多见危重症, 而高血糖是影响危重症患者死亡率的不良因素.
目的探讨AAD 患者入院时血糖水平与院内死亡率之间的关系. 方法回顾性分析2015 年1 …

Using machine‐learning methods to predict in‐hospital mortality through the Elixhauser index: A Medicare data analysis

J Liu, S Glied, O Yakusheva, C Bevin… - Research in Nursing …, 2023 - Wiley Online Library
Accurate in‐hospital mortality prediction can reflect the prognosis of patients, help guide
allocation of clinical resources, and help clinicians make the right care decisions. There are …

Multimorbidity and catastrophic health expenditure: Evidence from the China Health and Retirement Longitudinal Study

H Li, E Chang, W Zheng, B Liu, J Xu, W Gu… - Frontiers in Public …, 2022 - frontiersin.org
Background Population aging accompanied by multimorbidity imposes a great burden on
households and the healthcare system. This study aimed to determine the incidence and …

Parameters of the complete blood count predict in hospital mortality

Z Shimoni, P Froom, J Benbassat - International Journal of …, 2022 - Wiley Online Library
Introduction Mortality rates are used to evaluate the quality of hospital care after adjusting for
disease severity and, commonly also, for age, comorbidity, and laboratory data with only few …

Consenso colombiano de criterios de ingreso a cuidados intensivos: Task force de la Asociación Colombiana de Medicina Crítica y Cuidados Intensivos (AMCI®)

CEP Gómez, CD Castell, VHN Estrada… - Acta Colombiana de …, 2023 - Elsevier
Es importante estandarizar los procesos de ingreso a las UCI (UCI), y las prácticas
establecidas por consenso determinan intervenciones de calidad que pueden potenciar …