AIMC Topic: Diagnosis, Computer-Assisted

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A Method for Automatic and Objective Scoring of Bradykinesia Using Orientation Sensors and Classification Algorithms.

IEEE transactions on bio-medical engineering
Correct assessment of bradykinesia is a key element in the diagnosis and monitoring of Parkinson's disease. Its evaluation is based on a careful assessment of symptoms and it is quantified using rating scales, where the Movement Disorders Society-Spo...

Computer-Aided Diagnosis System for Alzheimer's Disease Using Different Discrete Transform Techniques.

American journal of Alzheimer's disease and other dementias
The different discrete transform techniques such as discrete cosine transform (DCT), discrete sine transform (DST), discrete wavelet transform (DWT), and mel-scale frequency cepstral coefficients (MFCCs) are powerful feature extraction techniques. Th...

Expert system supporting an early prediction of the bronchopulmonary dysplasia.

Computers in biology and medicine
This work presents a decision support system which uses machine learning to support early prediction of bronchopulmonary dysplasia (BPD) for extremely premature infants after their first week of life. For that purpose a knowledge database was created...

A fuzzy-ontology-oriented case-based reasoning framework for semantic diabetes diagnosis.

Artificial intelligence in medicine
OBJECTIVE: Case-based reasoning (CBR) is a problem-solving paradigm that uses past knowledge to interpret or solve new problems. It is suitable for experience-based and theory-less problems. Building a semantically intelligent CBR that mimic the expe...

Benchmarking human epithelial type 2 interphase cells classification methods on a very large dataset.

Artificial intelligence in medicine
OBJECTIVE: This paper presents benchmarking results of human epithelial type 2 (HEp-2) interphase cell image classification methods on a very large dataset. The indirect immunofluorescence method applied on HEp-2 cells has been the gold standard to i...

Automatic classification of apnea/hypopnea events through sleep/wake states and severity of SDB from a pulse oximeter.

Physiological measurement
This study proposes a method of automatically classifying sleep apnea/hypopnea events based on sleep states and the severity of sleep-disordered breathing (SDB) using photoplethysmogram (PPG) and oxygen saturation (SpO2) signals acquired from a pulse...

A systematic comparison of feature space effects on disease classifier performance for phenotype identification of five diseases.

Journal of biomedical informatics
Automated phenotype identification plays a critical role in cohort selection and bioinformatics data mining. Natural Language Processing (NLP)-informed classification techniques can robustly identify phenotypes in unstructured medical notes. In this ...

Dynamic modeling of breast tissue with application of model reference adaptive system identification technique based on clinical robot-assisted palpation.

Journal of the mechanical behavior of biomedical materials
Accurate identification of breast tissue's dynamic behavior in physical examination is critical to successful diagnosis and treatment. In this study a model reference adaptive system identification (MRAS) algorithm is utilized to estimate the dynamic...

Performance comparison of multi-label learning algorithms on clinical data for chronic diseases.

Computers in biology and medicine
We are motivated by the issue of classifying diseases of chronically ill patients to assist physicians in their everyday work. Our goal is to provide a performance comparison of state-of-the-art multi-label learning algorithms for the analysis of mul...

A risk management model for familial breast cancer: A new application using Fuzzy Cognitive Map method.

Computer methods and programs in biomedicine
Breast cancer is the most deadly disease affecting women and thus it is natural for women aged 40-49 years (who have a family history of breast cancer or other related cancers) to assess their personal risk for developing familial breast cancer (FBC)...