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Singh, Manmeet
- Study of Psychiatry Morbidity Following Traumatic Long Bone Injury
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Authors
Affiliations
1 Acharya Shri Chander College of Medical Sciences and Hospital, Sidhra, Jammu, IN
2 Department of Psychiatry, Dr. Vasantrao Pawar Medical College, Nashik, IN
1 Acharya Shri Chander College of Medical Sciences and Hospital, Sidhra, Jammu, IN
2 Department of Psychiatry, Dr. Vasantrao Pawar Medical College, Nashik, IN
Source
MVP Journal of Medical Sciences, Vol 2, No 1 (2015), Pagination: 34-38Abstract
Background: Limb fractures due to traumatic injury cause pain, prolonged discomfort, loss of function and immobility and are expected to produce adverse psychological effects. However, there is paucity of work regarding psychopathology following bone trauma in India. Aim: To evaluate the psychiatric morbidity amongst patients with Traumatic long bone injury (fracture). Design: Cross sectional study Setting: Dr Vasantrao Pawar Medical College, Nashik-Maharashtra. Method: The study was carried out amongst 100 randomly selected patients in the age group of 18- 65 yrs who had sustained long bone injury (fracture). Patients were evaluated 4-6 weeks after the trauma over a period of 18 months. All patients were screened using Mini International Neuropsychiatric Interview version 6.0.0. Statistical Analysis was done using the EPI-INFO software. Result: Long bone fracture patients had a high prevalence of Major depressive disorder (23%). Axis I psychiatric diagnosis shows significant association with age, marital status and education (p<0.05). The commonest cause of injury was road traffic accidents among males (n=58) and it was statistically significant. (p<0.05). Axis I psychiatric diagnosis was found more in road traffic accidents 18 (54.5%) and individuals with closed and lower limb fracture 26 (78.78%). Conclusion: In view of occurrence of psychopathology following long bone trauma. Orthopaedic surgeons need to be aware of these conditions so that they should refer patients for psychiatric evaluation and appropriate treatment.Keywords
Limb Fractures, Major Depressive Disorder, Road Traffic Accidents.Full Text
- Artificial intelligence and machine learning in earth system sciences with special reference to climate science and meteorology in South Asia
Abstract Views :166 |
PDF Views:78
Authors
Manmeet Singh
1,
Bipin Kumar
2,
Rajib Chattopadhyay
2,
K. Amarjyothi
3,
Anup K. Sutar
4,
Sukanta Roy
4,
Suryachandra A. Rao
2,
Ravi S. Nanjundiah
5
Affiliations
1 Indian Institute of Tropical Meteorology, Ministry of Earth Sciences, Pune 411 008, India; Jackson School of Geosciences, The University of Texas at Austin, Austin 78712, USA; IDP in Climate Studies, Indian Institute of Technology Bombay, Powai, Mumbai 400 076, IN
2 Indian Institute of Tropical Meteorology, Ministry of Earth Sciences, Pune 411 008, IN
3 National Centre for Medium Range Weather Forecasting, Ministry of Earth Sciences, Noida 201 309, IN
4 Borehole Geophysics Research Laboratory, Ministry of Earth Sciences, Karad 415 114, IN
5 Indian Institute of Tropical Meteorology, Ministry of Earth Sciences, Pune 411 008, India; Centre for Atmospheric and Oceanic Sciences, Indian Institute of Science, Bengaluru 560 012, India; Divecha Centre for Climate Change, Indian Institute of Science, Bengaluru 560 012, IN
1 Indian Institute of Tropical Meteorology, Ministry of Earth Sciences, Pune 411 008, India; Jackson School of Geosciences, The University of Texas at Austin, Austin 78712, USA; IDP in Climate Studies, Indian Institute of Technology Bombay, Powai, Mumbai 400 076, IN
2 Indian Institute of Tropical Meteorology, Ministry of Earth Sciences, Pune 411 008, IN
3 National Centre for Medium Range Weather Forecasting, Ministry of Earth Sciences, Noida 201 309, IN
4 Borehole Geophysics Research Laboratory, Ministry of Earth Sciences, Karad 415 114, IN
5 Indian Institute of Tropical Meteorology, Ministry of Earth Sciences, Pune 411 008, India; Centre for Atmospheric and Oceanic Sciences, Indian Institute of Science, Bengaluru 560 012, India; Divecha Centre for Climate Change, Indian Institute of Science, Bengaluru 560 012, IN
Source
Current Science, Vol 122, No 9 (2022), Pagination: 1019-1030Abstract
This study focuses on the current problems in earth system science (ESS), where machine learning (ML) algorithms can be applied. It provides an overview of previous studies, ongoing work at the Ministry of Earth Sciences, Government of India, and future applications of ML algorithms to some significant earth science problems. We compare previous studies, a mind map of multidimensional areas related to ML and Gartner’s hype cycle for ML in ESS. We mainly focus on the critical components in earth sciences, including studies on the atmosphere, oceans, biosphere, hydrogeology, human health and seismology. Various artificial intelligence (AI)/ML applications to problems in the core fields of earth sciences are discussed, in addition to gap areas and the potential for AI techniques.Keywords
Artificial intelligence, climate science, earth sciences, machine learning, meteorology, mind map.Full Text
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