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Multiple Sclerosis is a degenerative condition of the central nervous system that affects nearly 2.5 million of individuals in terms of their physical, cognitive, psychological and social capabilities. Researchers are currently…

Machine Learning · Statistics 2016-12-05 Samuele Fiorini , Andrea Tacchino , Giampaolo Brichetto , Alessandro Verri , Annalisa Barla

Multiple Sclerosis (MS) is a chronic autoimmune disease of the central nervous system whose molecular mechanisms remain incompletely understood. In this study, we developed an end-to-end machine learning pipeline to analyze transcriptomic…

Parkinson's disease (PD) is a chronic neurodegenerative disease. Early diagnosis is essential to mitigate the progressive deterioration of patients' quality of life. The most characteristic motor symptoms are very mild in the early stages,…

Machine Learning · Computer Science 2026-01-27 Beatriz Pérez-Sánchez , Noelia Sánchez-Maroño , Miguel A. Díaz-Freire

Parkinson's Disease (PD) is a chronic, degenerative disorder which leads to a range of motor and cognitive symptoms. PD diagnosis is a challenging task since its symptoms are very similar to other diseases such as normal ageing and…

Machine Learning · Computer Science 2021-01-15 Mohamad Alissa

Clinical notes contain unstructured text provided by clinicians during patient encounters. These notes are usually accompanied by a sequence of diagnostic codes following the International Classification of Diseases (ICD). Correctly…

Machine Learning · Computer Science 2025-10-17 Mohammad Mansoori , Amira Soliman , Farzaneh Etminani

Diagnosis of Parkinson's disease (PD) is commonly based on medical observations and assessment of clinical signs, including the characterization of a variety of motor symptoms. However, traditional diagnostic approaches may suffer from…

Machine Learning · Computer Science 2020-10-14 Jie Mei , Christian Desrosiers , Johannes Frasnelli

The timely identification of significant memory concern (SMC) is crucial for proactive cognitive health management, especially in an aging population. Detecting SMC early enables timely intervention and personalized care, potentially…

Machine Learning · Computer Science 2024-05-31 M. Sajid , Rahul Sharma , Iman Beheshti , M. Tanveer

Pressure ulcers are a challenge for patients and healthcare professionals. In the UK, 700,000 people are affected by pressure ulcers each year. Treating them costs the National Health Service {\pounds}3.8 million every day. Their etiology…

Machine Learning · Computer Science 2022-03-15 Paul Fergus , Carl Chalmers , William Henderson , Danny Roberts , Atif Waraich

Identification of abnormalities in red blood cells (RBC) is key to diagnosing a range of medical conditions from anaemia to liver disease. Currently this is done manually, a time-consuming and subjective process. This paper presents an…

Computer Vision and Pattern Recognition · Computer Science 2021-06-02 Annika Wong , Nantheera Anantrasirichai , Thanarat H. Chalidabhongse , Duangdao Palasuwan , Attakorn Palasuwan , David Bull

This paper proposes a deep learning-based method to identify the segments of a clinical note corresponding to ICD-9 broad categories which are further color-coded with respect to 17 ICD-9 categories. The proposed Medical Segment Colorer…

Computation and Language · Computer Science 2021-01-28 Maha Alkhairy

Autism Spectrum Disorder (ASD), which is a neuro development disorder, is often accompanied by sensory issues such an over sensitivity or under sensitivity to sounds and smells or touch. Although its main cause is genetics in nature, early…

Machine Learning · Computer Science 2021-05-27 Md Delowar Hossain , Muhammad Ashad Kabir , Adnan Anwar , Md Zahidul Islam

In this paper, we present a human-based computation approach for the analysis of peripheral blood smear (PBS) images images in patients with Sickle Cell Disease (SCD). We used the Mechanical Turk microtask market to crowdsource the labeling…

Human-Computer Interaction · Computer Science 2025-01-14 José María Buades Rubio , Gabriel Moyà-Alcover , Antoni Jaume-i-Capó , Nataša Petrović

Despite the potential of weakly supervised learning to automatically annotate massive amounts of data, little is known about its limitations for use in computer-aided diagnosis (CAD). For CT specifically, interpreting the performance of CAD…

Image and Video Processing · Electrical Eng. & Systems 2022-02-25 Fakrul Islam Tushar , Vincent M. D'Anniballe , Geoffrey D. Rubin , Ehsan Samei , Joseph Y. Lo

Parkinsons disease, PD, is a chronic condition that affects motor skills and includes symptoms like tremors and rigidity. The current diagnostic procedure uses patient assessments to evaluate symptoms and sometimes a magnetic resonance…

Image and Video Processing · Electrical Eng. & Systems 2022-01-14 Sabrina Zhu

Spinal cord tumors lead to neurological morbidity and mortality. Being able to obtain morphometric quantification (size, location, growth rate) of the tumor, edema, and cavity can result in improved monitoring and treatment planning. Such…

Image and Video Processing · Electrical Eng. & Systems 2021-03-31 Andreanne Lemay , Charley Gros , Zhizheng Zhuo , Jie Zhang , Yunyun Duan , Julien Cohen-Adad , Yaou Liu

Suppression of disability progression is an important goal in the treatment of multiple sclerosis (MS). Randomized clinical trials in MS frequently use the time to the first confirmed disability progression (CDP) on the ordinal Expanded…

Applications · Statistics 2021-11-04 Alexandra Būhler

Characterization of a patient clinical phenotype is central to biomedical informatics. ICD codes, assigned to inpatient encounters by coders, is important for population health and cohort discovery when clinical information is limited.…

Multiple Sclerosis (MS) is a chronic disease developed in human brain and spinal cord, which can cause permanent damage or deterioration of the nerves. The severity of MS disease is monitored by the Expanded Disability Status Scale (EDSS),…

Machine Learning · Computer Science 2023-04-11 Kai Zhang , John A. Lincoln , Xiaoqian Jiang , Elmer V. Bernstam , Shayan Shams

Speech patterns have been identified as potential diagnostic markers for neuropsychiatric conditions. However, most studies only compare a single clinical group to healthy controls, whereas clinical practice often requires differentiating…

Personalized medicine based on medical images, including predicting future individualized clinical disease progression and treatment response, would have an enormous impact on healthcare and drug development, particularly for diseases (e.g.…

Artificial Intelligence · Computer Science 2024-06-19 Joshua Durso-Finley , Berardino Barile , Jean-Pierre Falet , Douglas L. Arnold , Nick Pawlowski , Tal Arbel