Pulmonology

Clinical prediction of HBV and HCV related hepatic fibrosis using machine learning.

Clinical prediction of advanced hepatic fibrosis (HF) and cirrhosis has long been challenging due to the gold standard, liver biopsy, being an invasive approach with certain limitations. Less invasive blood test tandem with a cutting-edge machine learning algorithm shows promising diagnostic potential. In this study, we constructed and compared machine learning methods with the FIB-4 score in a di...

Small airway segmentation in thoracic computed tomography scans: a machine learning approach.

Small airway obstruction is a main cause for chronic obstructive pulmonary disease (COPD). We propose a novel method based on machine learning to extract the airway system from a thoracic computed tomography (CT) scan. The emphasis of the proposed method is on including the smallest airways that are still visible on CT. We used an optimized sampling procedure to extract airway and non-airway voxel...

Deep Convolutional Neural Networks for Chest Diseases Detection.

Chest diseases are very serious health problems in the life of people. These diseases include chronic obstructive pulmonary disease, pneumonia, asthma...

Detection of Talking in Respiratory Signals: A Feasibility Study Using Machine Learning and Wearable Textile-Based Sensors.

Social isolation and loneliness are major health concerns in young and older people. Traditional approaches to monitor the level of social interaction...

Computer-aided diagnosis of lung nodule classification between benign nodule, primary lung cancer, and metastatic lung cancer at different image size using deep convolutional neural network with transfer learning.

We developed a computer-aided diagnosis (CADx) method for classification between benign nodule, primary lung cancer, and metastatic lung cancer and ev...

Autonomous detection, grading, and reporting of postoperative complications using natural language processing.

INTRODUCTION: Natural language processing, a computer science technique that allows interpretation of narrative text, is infrequently used to identify...

Prognostication and Risk Factors for Cystic Fibrosis via Automated Machine Learning.

Accurate prediction of survival for cystic fibrosis (CF) patients is instrumental in establishing the optimal timing for referring patients with termi...

Ensemble Learning Approach via Kalman Filtering for a Passive Wearable Respiratory Monitor.

OBJECTIVE: Utilizing passive radio frequency identification (RFID) tags embedded in knitted smart-garment devices, we wirelessly detect the respirator...

Estimating risk of severe neonatal morbidity in preterm births under 32 weeks of gestation.

A large recent study analyzed the relationship between multiple factors and neonatal outcome and in preterm births. Study variables included the reas...

Optimizing Autoencoders for Learning Deep Representations From Health Data.

Analyzing patients' health data using machine learning techniques can improve both patient outcomes and hospital operations. However, heterogeneous pa...

Hepatoid Variant of Yolk Sac Tumor of Both Ovaries with Widespread Intraabdominal and Lung Metastasis: A Case Report.

Hepatoid variant of yolk sac tumor of ovary is an unusual tumor with an aggressive behavior. It is usually observed in young females, presents with ab...

CNN models discriminating between pulmonary micro-nodules and non-nodules from CT images.

BACKGROUND: Early and automatic detection of pulmonary nodules from CT lung screening is the prerequisite for precise management of lung cancer. Howev...

Adverse Outcomes due to Aggressive Fluid Resuscitation in Children: A Prospective Observational Study.

Fluid management has a major impact on the duration, severity, and outcome of critically ill children. The aim of this study was to examine the relati...

Exploratory analysis using machine learning to predict for chest wall pain in patients with stage I non-small-cell lung cancer treated with stereotactic body radiation therapy.

BACKGROUND AND PURPOSE: Chest wall toxicity is observed after stereotactic body radiation therapy (SBRT) for peripherally located lung tumors. We util...

Minimally Invasive Surgical Approach for Posterior Tracheopexy to Treat Severe Tracheomalacia: Lessons Learned from Initial Case Series.

Posterior tracheopexy directly addresses membranous tracheal intrusion in severe tracheomalacia (TM). We have previously reported our experience of p...

Evaluation of the VITEK MS knowledge base version 3.0 for the identification of clinically relevant Mycobacterium species.

Different Mycobacterium spp. infections may indicate varied treatment regimens in the clinic. Thus, the species-level identification of Mycobacterium ...

Catechin rich butanol fraction extracted from Acacia catechu L. (a thirst quencher) exhibits immunostimulatory potential.

Acacia catechu L., (Fabaceae) named as "catechu" is a plant, the decoction of heartwood of which is daily consumed as thirst quencher by a good percen...

Towards better prediction of Mycobacterium tuberculosis lineages from MIRU-VNTR data.

The determination of lineages from strain-based molecular genotyping information is an important problem in tuberculosis. Mycobacterial interspersed r...

Machine learning approaches for predicting disposition of asthma and COPD exacerbations in the ED.

OBJECTIVE: The prediction of emergency department (ED) disposition at triage remains challenging. Machine learning approaches may enhance prediction. ...

Predicted airway obstruction distribution based on dynamical lung ventilation data: A coupled modeling-machine learning methodology.

In asthma and chronic obstructive pulmonary disease, some airways of the tracheobronchial tree can be constricted, from moderate narrowing up to closu...